# Cluster 19 Predicates: annoy, mispronounce, frustrate, irk, rile, irritate, excite, unnerve, infuriate, enrage, offend, stir Subjects (sim = 0.3021): thing, example Objects (sim = 0.6027): hundred, people # Cluster 14 Predicates: plummet, grow, swell, flood, surpass, outstrip, skyrocket, explode, exceed, fluctuate, decline, soar, rise, dwindle Subjects (sim = 0.4513): price, temperature, supply Objects (sim = 0.7128): more, less, so, much, little # Cluster 22 Predicates: waste, poison, irritate, smack, eat, inhale, emit, suck, smell, breathe, flow, rub Subjects (sim = 0.4084): about, people, thousand Objects (sim = 0.4356): Life, life # Cluster 28 Predicates: contradict, depend, separate, distinguish, vary, change, bend, fluctuate, dictate, differ Subjects (sim = 0.4371): result, proof Objects (sim = 0.6146): more, less, so, much, little # Cluster 30 Predicates: employ, reproduce, inhabit, apply, use, reside, possess, carry, acquire Subjects (sim = 0.3918): about, people, thousand Objects (sim = 0.4573): hundred, people # Cluster 13 Predicates: chirp, flicker, sound, torch, smell, shine, cast, glint, gaze, light, emit, glow, illuminate, flash Subjects (sim = 0.5552): volume, light, traffic Objects (sim = 0.4677): eye, with, horizon, face, shadow, light # Cluster 29 Predicates: escort, fly, sail, arrive, torch, travel, track, ride, train Subjects (sim = 0.2903): about, people, thousand Objects (sim = 0.4078): checkpoint, bus, van, bicycle, railroad, canoe, torch, boat, bike, vehicle, guitar, seat, driver, car, road, street, traffic, gear # Cluster 8 Predicates: entertain, surprise, irk, exude, satisfy, rile, attract, excite, faze, infuriate, fascinate, captivate, disappoint, impress, soothe, immerse, unnerve, illuminate, astonish, delight, wow Subjects (sim = 0.2310): everybody, anybody, sound, kid, another, about, EVERYBODY, ourselves, anything, hard, proof, nobody, so, everything, EVERYONE, hand, all, think, everyone, need, work, more, want, nothing, People, say, Everybody, er, great, people, Him, call, himself, circumstance, person, anyone, wall, thing, twist, much, little Objects (sim = 0.5303): anyone, person, guy, people # Cluster 25 Predicates: note, view, esteem, interest, regard, consider, despise, caution, support, praise, respect Subjects (sim = 0.5017): about, people, thousand Objects (sim = 0.4835): other, present # Cluster 18 Predicates: head, pin, stab, hatch, bend, bludgeon, stick, cock, paddle, hand, whip, impale Subjects (sim = 0.4121): man, player Objects (sim = 0.3336): committee, agency, organization, group # Cluster 24 Predicates: help, give, volunteer, provide, chair, contribute, assist, donate, serve, aid, support Subjects (sim = 0.4684): audience, public, everyone, community, people, population Objects (sim = 0.5228): revenue, money, fund, dollar # Cluster 17 Predicates: formulate, invent, develop, conceive, approach, devise, execute, produce, concoct, reproduce, reinforce, design, create Subjects (sim = 0.4302): about, people, thousand Objects (sim = 0.4806): scheme, plot, project, plan # Cluster 35 Predicates: burn, dig, strip, tear, abandon, rip, destroy, dump, suck Subjects (sim = 0.4801): about, people, thousand Objects (sim = 0.4270): hundred, people # Cluster 9 Predicates: accuse, disparage, beg, condemn, denounce, deride, plead, exalt, criticize, chastise, act, laud, punish, swipe, blame, cite, decry, bash, mourn, berate Subjects (sim = 0.3995): about, people, thousand Objects (sim = 0.3452): reform, conservative, law, government, policy # Cluster 23 Predicates: congratulate, chastise, criticize, appreciate, laud, admire, thank, compliment, commend, recognize, applaud, praise Subjects (sim = 0.5058): about, people, thousand Objects (sim = 0.3850): art, music, artist, television, film, wine # Cluster 16 Predicates: include, request, submit, apply, seek, notify, cover, discontinue, file, provide, approve, consider, write Subjects (sim = 0.4301): about, people, thousand Objects (sim = 0.3229): hundred, people # Cluster 36 Predicates: confirm, contradict, reveal, identify, reinforce, show, indicate, suggest, demonstrate Subjects (sim = 0.5321): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6615): evidence, resistance # Cluster 15 Predicates: request, inform, submit, instruct, urge, notify, encourage, advise, assure, ask, inspect, assist, invite, educate Subjects (sim = 0.3843): leader, winner Objects (sim = 0.4240): hundred, people # Cluster 21 Predicates: misappropriate, strip, rob, squander, embezzle, ransack, steal, destroy, abduct, block, kidnap, kill Subjects (sim = 0.3090): about, people, thousand Objects (sim = 0.4402): hundred, people # Cluster 12 Predicates: love, envy, exude, loathe, dislike, resent, want, admire, enjoy, sacrifice, despise, comfort, criticize, appreciate, adore, hate, revere, care Subjects (sim = 0.4682): about, people, thousand Objects (sim = 0.4454): anyone, person, guy, people # Cluster 31 Predicates: plead, request, give, charge, beg, ask, judge, seek, urge Subjects (sim = 0.4331): audience, public, everyone, community, people, population Objects (sim = 0.3043): hundred, people # Cluster 40 Predicates: poison, explode, scare, frighten, rip, rattle, impale, fear Subjects (sim = 0.4873): about, people, thousand Objects (sim = 0.5214): anyone, person, guy, people # Cluster 42 Predicates: search, apprehend, arrest, rob, snatch, bust, chase, nab Subjects (sim = 0.6397): police, burglar, Police, POLICE Objects (sim = 0.3405): hundred, people # Cluster 2 Predicates: annoy, upset, mutilate, despise, stun, harass, injure, intimidate, deride, misappropriate, exalt, confuse, crush, punish, attack, fool, disturb, behead, frighten, rank, kidnap, block, berate, humiliate, burn, disparage, contradict, poison, loathe, destroy, belittle, kill, impale, mispronounce, frustrate, torture, repel, mock, stigmatize, bludgeon, offend, stereotype, embarrass, deceive Subjects (sim = 0.4166): about, people, thousand Objects (sim = 0.4803): anyone, person, guy, people # Cluster 44 Predicates: worry, die, suffer, lose, row, hurt, struggle Subjects (sim = 0.4331): about, people, thousand Objects (sim = 0.3965): anyone, person, guy, people # Cluster 43 Predicates: waste, cost, exude, possess, emit, generate, produce Subjects (sim = 0.3160): family, dinner, house Objects (sim = 0.3712): generation, power # Cluster 46 Predicates: border, escort, apprehend, arrest, detain, abduct, harass Subjects (sim = 0.6571): police, officer, guard Objects (sim = 0.4585): hundred, people # Cluster 39 Predicates: torture, mutilate, behead, detain, abduct, kidnap, kill, euthanize Subjects (sim = 0.3381): about, people, thousand Objects (sim = 0.4820): hundred, people # Cluster 10 Predicates: add, grow, use, bring, contribute, develop, produce, translate, induce, provide, form, encourage, build, reinforce, wreak, create, donate, generate, become Subjects (sim = 0.4574): audience, public, everyone, community, people, population Objects (sim = 0.3281): revenue, money, fund, dollar # Cluster 20 Predicates: transfer, use, buy, own, sell, raise, purchase, pay, donate, supply, value, acquire Subjects (sim = 0.4112): about, people, thousand Objects (sim = 0.4247): jewel, property, land, asset # Cluster 3 Predicates: drop, cut, eliminate, dip, gain, climb, hit, fall, rate, raise, decline, tumble, drag, jump, plummet, lower, cross, increase, decrease, lack, measure, skyrocket, slide, spot, soar, survey, rise Subjects (sim = 0.4614): price, temperature, supply Objects (sim = 0.6958): more, less, so, much, little # Cluster 54 Predicates: commence, discontinue, stop, start, end, begin Subjects (sim = 0.4420): about, people, thousand Objects (sim = 0.4318): work, effort, fight # Cluster 58 Predicates: fool, spook, frighten, unnerve, cock, rattle Subjects (sim = 0.4568): thing, example Objects (sim = 0.3397): hundred, people # Cluster 34 Predicates: lay, leave, go, eat, come, do, stand, walk, sit Subjects (sim = 0.4146): about, people, thousand Objects (sim = 0.3425): everybody, be, anybody, back, none, good, ourselves, Nothing, anything, either, tear, course, hard, NOTHING, nobody, so, everything, goodness, all, figure, homework, everyone, nothing, people, worse, way, ANYTHING, anyone, know, thing, much, little # Cluster 26 Predicates: search, dig, locate, swarm, find, scan, survey, gather, look, scour, comb Subjects (sim = 0.3958): about, people, thousand Objects (sim = 0.3293): back, home # Cluster 5 Predicates: weigh, study, address, explore, identify, separate, examine, formulate, scan, monitor, develop, check, investigate, look, observe, file, pursue, assess, advise, inspect, consider, demonstrate, evaluate, scour Subjects (sim = 0.3767): police, hospital Objects (sim = 0.3494): treatment, disease, miscarriage, jaundice, asthma, Disorder, flu, autism, drug, kidney, malnutrition, disorder, genetics, arthritis, cancer, ulcer, crime # Cluster 38 Predicates: fail, encourage, beg, want, please, invite, seek, urge Subjects (sim = 0.2795): leader, winner Objects (sim = 0.4889): hundred, people # Cluster 57 Predicates: induce, soothe, punish, frighten, stigmatize, discourage Subjects (sim = 0.3048): thing, example Objects (sim = 0.3554): hundred, people # Cluster 63 Predicates: discontinue, abandon, stop, quit, euthanize Subjects (sim = 0.5300): about, people, thousand Objects (sim = 0.5510): treatment, training # Cluster 55 Predicates: belong, occupy, inhabit, reside, serve, represent Subjects (sim = 0.5126): about, people, thousand Objects (sim = 0.4141): village, camp # Cluster 6 Predicates: shake, knock, batter, break, change, smack, stun, lead, punch, whip, slam, hit, stab, kick, swipe, beat, rip, lift, bust, blow, rattle, slap, rub, hand Subjects (sim = 0.5021): man, player Objects (sim = 0.3876): hundred, people # Cluster 50 Predicates: transfer, abandon, leave, relinquish, quit, return, surrender Subjects (sim = 0.5103): about, people, thousand Objects (sim = 0.6356): back, home # Cluster 41 Predicates: entertain, play, boo, engage, perform, host, sing, invite Subjects (sim = 0.3418): about, people, thousand Objects (sim = 0.3567): move, act, action, step # Cluster 53 Predicates: employ, earn, attract, raise, draw, generate Subjects (sim = 0.3564): about, people, thousand Objects (sim = 0.5615): hundred, people # Cluster 49 Predicates: sentence, murder, charge, arrest, judge, command, surrender Subjects (sim = 0.4148): police, officer, guard Objects (sim = 0.3936): hundred, people # Cluster 67 Predicates: burn, flicker, explode, pan, flash Subjects (sim = 0.4520): volume, light, traffic Objects (sim = 0.6725): himself, briefly # Cluster 65 Predicates: stop, keep, discourage, avoid, protect Subjects (sim = 0.4732): about, people, thousand Objects (sim = 0.5408): hundred, people # Cluster 48 Predicates: include, mean, cite, indicate, consider, suggest, represent Subjects (sim = 0.3628): about, people, thousand Objects (sim = 0.6673): reason, evidence # Cluster 62 Predicates: sentence, punish, rule, discipline, approach Subjects (sim = 0.3739): government, regime Objects (sim = 0.3959): hundred, people # Cluster 64 Predicates: climb, lift, drag, push, jump Subjects (sim = 0.4271): sale, cost, productivity, price, currency, value, demand, speed, consumer, buyer Objects (sim = 0.5491): more, less, so, much, little # Cluster 56 Predicates: move, shift, change, turn, approach, rush Subjects (sim = 0.3278): price, temperature, supply Objects (sim = 0.4086): hundred, people # Cluster 73 Predicates: exalt, laud, sacrifice, revere, mourn Subjects (sim = 0.4100): about, people, thousand Objects (sim = 0.3799): handbag, woman # Cluster 61 Predicates: attend, reside, visit, enter, advance, register Subjects (sim = 0.4507): about, people, thousand Objects (sim = 0.7176): back, home # Cluster 11 Predicates: cut, set, break, lay, sell, bring, roll, go, come, turn, follow, push, put, hold, pull, throw, bend, rip, carry Subjects (sim = 0.4440): about, people, thousand Objects (sim = 0.5451): hundred, people # Cluster 4 Predicates: classify, treat, inform, separate, locate, tell, detect, notify, reproduce, contact, define, categorize, notice, spell, address, identify, distinguish, understand, recognize, discern, solve, pronounce, describe, perceive, evaluate Subjects (sim = 0.4674): about, people, thousand Objects (sim = 0.3772): hundred, people # Cluster 77 Predicates: envy, desire, glint, astonish, delight Subjects (sim = 0.3179): volume, light, traffic Objects (sim = 0.3446): malnutrition, autism, child # Cluster 47 Predicates: usher, bring, come, draw, gather, push, hold Subjects (sim = 0.4348): about, people, thousand Objects (sim = 0.4674): hundred, people # Cluster 60 Predicates: meet, fulfill, reach, exceed, track, surpass Subjects (sim = 0.4175): area, city, road, River, land, river Objects (sim = 0.4568): yacht, sea, Sea # Cluster 27 Predicates: play, move, sail, pass, go, run, drive, rush, push, lead, stay Subjects (sim = 0.3685): principal, general, boss, commander, chief, director, officer, chairman, president Objects (sim = 0.3565): hundred, people # Cluster 45 Predicates: wound, keep, get, turn, shine, rub, put Subjects (sim = 0.4149): about, people, thousand Objects (sim = 0.5294): back, home # Cluster 72 Predicates: attend, host, place, invite, hold Subjects (sim = 0.3592): Department, Society Objects (sim = 0.4467): hundred, people # Cluster 86 Predicates: impress, fool, compliment, belittle, wow Subjects (sim = 0.2741): everybody, anybody, sound, kid, another, about, EVERYBODY, ourselves, anything, hard, proof, nobody, so, everything, EVERYONE, hand, all, think, everyone, need, work, more, want, nothing, People, say, Everybody, er, great, people, Him, call, himself, circumstance, person, anyone, wall, thing, twist, much, little Objects (sim = 0.4313): mine, friend # Cluster 76 Predicates: head, shake, stir, rattle, whip Subjects (sim = 0.4273): leader, winner Objects (sim = 0.4023): committee, agency, organization, group # Cluster 66 Predicates: reward, cost, pay, risk, value Subjects (sim = 0.4244): about, people, thousand Objects (sim = 0.3136): amount, detail, much # Cluster 70 Predicates: usher, induce, encourage, attract, discourage Subjects (sim = 0.3891): about, people, thousand Objects (sim = 0.5494): hundred, people # Cluster 80 Predicates: play, fit, match, club, coach Subjects (sim = 0.3812): will, another Objects (sim = 0.4986): role, lead # Cluster 92 Predicates: plead, murder, rape, abduct, kidnap Subjects (sim = 0.3687): soldier, man Objects (sim = 0.5041): hundred, people # Cluster 74 Predicates: desire, want, urge, attempt, order Subjects (sim = 0.3912): leader, winner Objects (sim = 0.4155): hundred, people # Cluster 87 Predicates: sweep, upset, beat, clash, stun Subjects (sim = 0.4571): man, player Objects (sim = 0.3614): hundred, people # Cluster 91 Predicates: add, build, replace, destroy, eliminate Subjects (sim = 0.4082): about, people, thousand Objects (sim = 0.3580): hundred, people # Cluster 96 Predicates: rush, swell, flow, flood Subjects (sim = 0.4478): number, record, attendance Objects (sim = 0.5298): back, home # Cluster 51 Predicates: give, take, squander, relinquish, come, surrender, hold Subjects (sim = 0.4855): audience, public, everyone, community, people, population Objects (sim = 0.3708): Money, money, charity, fund, donation, grant, cash, support # Cluster 84 Predicates: escort, volunteer, attend, work, tutor Subjects (sim = 0.4082): police, officer, guard Objects (sim = 0.4696): approach, way # Cluster 78 Predicates: treat, inform, immerse, teach, educate Subjects (sim = 0.4406): student, body Objects (sim = 0.4745): student, participant # Cluster 93 Predicates: intimidate, frustrate, repel, force, bludgeon Subjects (sim = 0.4696): motivation, cause, thing Objects (sim = 0.5311): hundred, people # Cluster 99 Predicates: school, kid, coach, tutor Subjects (sim = 0.4269): schoolteacher, teacher, schoolmaster, nurse, language, tutor, pupil Objects (sim = 0.6345): student, participant # Cluster 69 Predicates: mean, cause, risk, caution, fear Subjects (sim = 0.3495): event, attendance Objects (sim = 0.4784): death, body # Cluster 33 Predicates: confirm, see, reveal, tell, show, predict, say, suggest, believe Subjects (sim = 0.3974): about, people, thousand Objects (sim = 0.4054): hundred, people # Cluster 37 Predicates: cover, read, book, tell, please, check, copy, write Subjects (sim = 0.3714): about, people, thousand Objects (sim = 0.3864): expert, official # Cluster 94 Predicates: encounter, chase, fight, struggle Subjects (sim = 0.4550): about, people, thousand Objects (sim = 0.5818): problem, phenomenon, thing # Cluster 90 Predicates: suffer, resent, regard, stereotype, perceive Subjects (sim = 0.4887): about, people, thousand Objects (sim = 0.5486): other, present # Cluster 71 Predicates: accuse, note, cite, say, describe Subjects (sim = 0.3414): about, people, thousand Objects (sim = 0.3313): reason, evidence # Cluster 89 Predicates: worry, say, bear, believe, fear Subjects (sim = 0.5340): about, people, thousand Objects (sim = 0.3449): anyone, person, guy, people # Cluster 68 Predicates: occupy, relinquish, rank, lead, command Subjects (sim = 0.4461): principal, general, boss, commander, chief, director, officer, chairman, president Objects (sim = 0.4069): army, slum # Cluster 88 Predicates: spell, match, clash, draw, encounter Subjects (sim = 0.4529): about, people, thousand Objects (sim = 0.4642): problem, phenomenon, thing # Cluster 103 Predicates: inhabit, reside, live, stay Subjects (sim = 0.4673): about, people, thousand Objects (sim = 0.5948): forest, town, city, housing, property, farm, land, village # Cluster 109 Predicates: rock, club, bash, rave Subjects (sim = 0.4223): man, player Objects (sim = 0.4795): handbag, woman # Cluster 100 Predicates: wound, tear, suck, blow Subjects (sim = 0.4122): about, people, thousand Objects (sim = 0.5533): other, present # Cluster 81 Predicates: attack, shock, scare, blow, blast Subjects (sim = 0.3960): about, people, thousand Objects (sim = 0.5944): anyone, person, guy, people # Cluster 52 Predicates: discover, discern, locate, identify, find, scan, detect Subjects (sim = 0.4252): about, people, thousand Objects (sim = 0.3933): problem, phenomenon, thing # Cluster 82 Predicates: commence, act, conduct, engage, perform Subjects (sim = 0.3212): about, people, thousand Objects (sim = 0.4224): activity, action # Cluster 97 Predicates: fit, meet, fulfill, satisfy Subjects (sim = 0.4141): area, city, road, River, land, river Objects (sim = 0.6360): yacht, sea, Sea # Cluster 85 Predicates: measure, assess, define, predict, conceive Subjects (sim = 0.3258): expert, protection Objects (sim = 0.6076): performance, future # Cluster 104 Predicates: die, explode, suck, injure Subjects (sim = 0.4054): man, player Objects (sim = 0.3257): himself, briefly # Cluster 95 Predicates: play, kick, throw, cross Subjects (sim = 0.5265): man, player Objects (sim = 0.3768): role, lead # Cluster 112 Predicates: waste, burn, discharge, dump Subjects (sim = 0.4090): man, player Objects (sim = 0.4707): Life, life # Cluster 119 Predicates: squander, lose, relinquish, quit Subjects (sim = 0.5333): about, people, thousand Objects (sim = 0.4118): revenue, money, fund, dollar # Cluster 107 Predicates: trust, sacrifice, discipline, respect Subjects (sim = 0.4484): about, people, thousand Objects (sim = 0.4895): other, present # Cluster 116 Predicates: apply, vary, exceed, differ Subjects (sim = 0.5197): result, proof Objects (sim = 0.5726): more, less, so, much, little # Cluster 106 Predicates: reproduce, repel, destroy, protect Subjects (sim = 0.3333): smoking, fire Objects (sim = 0.3843): hundred, people # Cluster 111 Predicates: like, adore, rave, wow Subjects (sim = 0.4734): about, people, thousand Objects (sim = 0.4381): anyone, person, guy, people # Cluster 105 Predicates: employ, build, develop, acquire Subjects (sim = 0.3970): donor, patient, person, sufferer, cause, victim, killer, human, child Objects (sim = 0.5822): treatment, disease, miscarriage, jaundice, asthma, Disorder, flu, autism, drug, kidney, malnutrition, disorder, genetics, arthritis, cancer, ulcer, crime # Cluster 101 Predicates: fly, leave, go, stay Subjects (sim = 0.5099): about, people, thousand Objects (sim = 0.3827): revenue, money, fund, dollar # Cluster 75 Predicates: precipitate, suffer, wreak, blame, cause Subjects (sim = 0.3043): about, people, thousand Objects (sim = 0.3274): distress, damage # Cluster 117 Predicates: view, gaze, approach, look Subjects (sim = 0.5007): about, people, thousand Objects (sim = 0.3905): back, home # Cluster 32 Predicates: discover, see, learn, find, work, tell, teach, understand, check Subjects (sim = 0.4335): about, people, thousand Objects (sim = 0.3686): hundred, people # Cluster 118 Predicates: worry, upset, scare, trouble Subjects (sim = 0.4018): thing, example Objects (sim = 0.5241): anyone, person, guy, people # Cluster 83 Predicates: use, design, own, invent, write Subjects (sim = 0.3580): family, dinner, house Objects (sim = 0.4962): jewel, property, land, asset # Cluster 126 Predicates: disappoint, boo, rile, cheer Subjects (sim = 0.4380): about, people, thousand Objects (sim = 0.5209): other, present # Cluster 134 Predicates: calm, soothe, rile, unnerve Subjects (sim = 0.4761): thing, example Objects (sim = 0.6380): poison, nerve # Cluster 115 Predicates: shame, shock, hate, fear Subjects (sim = 0.4892): about, people, thousand Objects (sim = 0.5200): anyone, person, guy, people # Cluster 110 Predicates: address, meet, attend, speak Subjects (sim = 0.4183): about, people, thousand Objects (sim = 0.5062): yacht, sea, Sea # Cluster 108 Predicates: occupy, leave, replace, empty Subjects (sim = 0.5227): about, people, thousand Objects (sim = 0.3635): revenue, money, fund, dollar # Cluster 132 Predicates: feed, sell, supply, produce Subjects (sim = 0.5140): milk, baby Objects (sim = 0.4425): hundred, people # Cluster 98 Predicates: call, contact, visit, register Subjects (sim = 0.5186): about, people, thousand Objects (sim = 0.4270): hundred, people # Cluster 128 Predicates: usher, precipitate, induce, avoid Subjects (sim = 0.4124): animal, drug Objects (sim = 0.5121): change, alteration # Cluster 122 Predicates: precipitate, wreak, disturb, destroy Subjects (sim = 0.3664): about, people, thousand Objects (sim = 0.2312): all, out # Cluster 136 Predicates: rock, pedal, roll, rattle Subjects (sim = 0.4618): about, people, thousand Objects (sim = 0.4199): all, out # Cluster 59 Predicates: give, see, earn, get, enjoy, gain Subjects (sim = 0.4671): audience, public, everyone, community, people, population Objects (sim = 0.3670): back, home # Cluster 133 Predicates: boo, swarm, throng, rush Subjects (sim = 0.6096): police, hospital Objects (sim = 0.4493): street, house # Cluster 144 Predicates: squander, lose, dwindle, empty Subjects (sim = 0.4979): about, people, thousand Objects (sim = 0.4056): revenue, money, fund, dollar # Cluster 129 Predicates: shift, change, increase, decrease Subjects (sim = 0.4116): sale, cost, productivity, price, currency, value, demand, speed, consumer, buyer Objects (sim = 0.6942): more, less, so, much, little # Cluster 138 Predicates: shame, humiliate, punish, slap Subjects (sim = 0.4982): man, player Objects (sim = 0.4384): teacher, girl, pupil, child # Cluster 114 Predicates: study, report, survey, decrease Subjects (sim = 0.4722): student, body Objects (sim = 0.6119): more, less, so, much, little # Cluster 143 Predicates: help, can, attempt, order Subjects (sim = 0.3830): about, people, thousand Objects (sim = 0.4067): government, agency # Cluster 146 Predicates: feed, die, eat, suck Subjects (sim = 0.3933): milk, baby Objects (sim = 0.5082): hundred, people # Cluster 102 Predicates: hit, strike, blow, blast Subjects (sim = 0.4647): man, player Objects (sim = 0.4287): back, home # Cluster 79 Predicates: take, start, run, track, chase Subjects (sim = 0.3750): government, policy Objects (sim = 0.4814): show, present # Cluster 121 Predicates: assure, commend, condemn, urge Subjects (sim = 0.4779): leader, winner Objects (sim = 0.3143): hundred, people # Cluster 120 Predicates: arrive, leave, enter, return Subjects (sim = 0.4702): about, people, thousand Objects (sim = 0.7147): back, home # Cluster 135 Predicates: climb, chase, ride, walk Subjects (sim = 0.3010): about, people, thousand Objects (sim = 0.4233): checkpoint, bus, van, bicycle, railroad, canoe, torch, boat, bike, vehicle, guitar, seat, driver, car, road, street, traffic, gear # Cluster 139 Predicates: laud, rave, hail, praise Subjects (sim = 0.4063): about, people, thousand Objects (sim = 0.4734): plot, film # Cluster 150 Predicates: chirp, sound, sing, hear Subjects (sim = 0.6178): voice, music, trumpet, sound, folk Objects (sim = 0.5613): phone, alarm # Cluster 142 Predicates: surprise, shock, comfort, delight Subjects (sim = 0.2403): everybody, anybody, sound, kid, another, about, EVERYBODY, ourselves, anything, hard, proof, nobody, so, everything, EVERYONE, hand, all, think, everyone, need, work, more, want, nothing, People, say, Everybody, er, great, people, Him, call, himself, circumstance, person, anyone, wall, thing, twist, much, little Objects (sim = 0.6384): anyone, person, guy, people # Cluster 123 Predicates: note, book, report, cite Subjects (sim = 0.3374): about, people, thousand Objects (sim = 0.5626): reason, evidence # Cluster 149 Predicates: calm, keep, stick, stay Subjects (sim = 0.4584): about, people, thousand Objects (sim = 0.4343): poison, nerve # Cluster 127 Predicates: weigh, take, bear, carry Subjects (sim = 0.4761): about, people, thousand Objects (sim = 0.3890): body, arm # Cluster 113 Predicates: accuse, stop, trouble, condemn Subjects (sim = 0.3816): about, people, thousand Objects (sim = 0.3960): government, machinery # Cluster 148 Predicates: fit, govern, define, dictate Subjects (sim = 0.3243): about, people, thousand Objects (sim = 0.5437): hundred, people # Cluster 156 Predicates: pursue, abandon, fulfill Subjects (sim = 0.4715): about, people, thousand Objects (sim = 0.3663): treatment, training # Cluster 168 Predicates: school, club, board Subjects (sim = 0.3926): about, people, thousand Objects (sim = 0.4829): bus, ticket # Cluster 124 Predicates: discover, explore, learn, invent Subjects (sim = 0.4255): about, people, thousand Objects (sim = 0.4846): truth, phrase, word, thing, example # Cluster 140 Predicates: pull, ransack, rip, snatch Subjects (sim = 0.4774): about, people, thousand Objects (sim = 0.5541): hundred, people # Cluster 170 Predicates: captivate, gaze, throng Subjects (sim = 0.4797): servant, woman, person, man, possessor Objects (sim = 0.4588): deep, back # Cluster 130 Predicates: request, approve, purchase, board Subjects (sim = 0.3509): about, people, thousand Objects (sim = 0.2430): product, material # Cluster 159 Predicates: knock, fight, punch Subjects (sim = 0.6257): man, player Objects (sim = 0.4059): himself, kid, guy, man, brother, boy # Cluster 158 Predicates: plead, judge, stand Subjects (sim = 0.4654): about, people, thousand Objects (sim = 0.3691): other, present # Cluster 169 Predicates: rape, torture, slaughter Subjects (sim = 0.7516): soldier, man Objects (sim = 0.4303): handbag, woman # Cluster 160 Predicates: fulfill, serve, become Subjects (sim = 0.4094): about, people, thousand Objects (sim = 0.4935): organization, president # Cluster 157 Predicates: stab, swipe, approach Subjects (sim = 0.6265): man, player Objects (sim = 0.5048): back, home # Cluster 171 Predicates: smack, mock, sit Subjects (sim = 0.4252): man, player Objects (sim = 0.4201): seat, ticket # Cluster 137 Predicates: report, check, notify, register Subjects (sim = 0.5712): police, hospital Objects (sim = 0.4276): expert, official # Cluster 125 Predicates: feed, kill, surrender, slaughter Subjects (sim = 0.3219): about, people, thousand Objects (sim = 0.4618): hundred, people # Cluster 152 Predicates: reach, enter, advance Subjects (sim = 0.3347): Boy, boy Objects (sim = 0.6396): back, home # Cluster 141 Predicates: irritate, cause, hurt, injure Subjects (sim = 0.3308): man, player Objects (sim = 0.3765): distress, damage # Cluster 173 Predicates: date, be, end Subjects (sim = 0.3958): owner, door, schoolteacher, woman, boyfriend, wife, father, husband, girl, body, neighbor, house, life, doctor, mother, himself, caller, marriage, nurse, friend, farmer, man, family, resident Objects (sim = 0.4108): woman, student, animal, man, adult, female, girl, male # Cluster 167 Predicates: distinguish, govern, protect Subjects (sim = 0.6703): protection, Protection, safeguard Objects (sim = 0.5156): hundred, people # Cluster 174 Predicates: load, handle, carry Subjects (sim = 0.4676): about, people, thousand Objects (sim = 0.4164): body, arm # Cluster 164 Predicates: discourage, risk, protect Subjects (sim = 0.4696): protection, Protection, safeguard Objects (sim = 0.3694): hundred, people # Cluster 179 Predicates: stick, pan, rub Subjects (sim = 0.4054): thing, example Objects (sim = 0.6120): all, out # Cluster 145 Predicates: cost, rate, mean, risk Subjects (sim = 0.2978): about, people, thousand Objects (sim = 0.4497): death, body # Cluster 154 Predicates: head, wound, stab Subjects (sim = 0.4710): man, player Objects (sim = 0.3853): committee, agency, organization, group # Cluster 131 Predicates: die, kill, euthanize, slaughter Subjects (sim = 0.3365): about, people, thousand Objects (sim = 0.4545): hundred, people # Cluster 166 Predicates: trust, esteem, value Subjects (sim = 0.4845): about, people, thousand Objects (sim = 0.4675): education, aid # Cluster 176 Predicates: solve, create, eliminate Subjects (sim = 0.1881): everybody, anybody, sound, kid, another, about, EVERYBODY, ourselves, anything, hard, proof, nobody, so, everything, EVERYONE, hand, all, think, everyone, need, work, more, want, nothing, People, say, Everybody, er, great, people, Him, call, himself, circumstance, person, anyone, wall, thing, twist, much, little Objects (sim = 0.4851): hundred, people # Cluster 180 Predicates: mispronounce, speak, pronounce Subjects (sim = 0.4002): about, people, thousand Objects (sim = 0.6182): pound, little # Cluster 162 Predicates: interest, support, respect Subjects (sim = 0.3657): about, people, thousand Objects (sim = 0.4781): other, present # Cluster 182 Predicates: slam, bludgeon, bash Subjects (sim = 0.5466): critic, piece Objects (sim = 0.4255): handbag, woman # Cluster 175 Predicates: chair, board, hold Subjects (sim = 0.3956): Mayor, Chief, director, Director, official, shareholder, chairman, Chairman, delegate, President, Governor, organizer, Fire, representative, president Objects (sim = 0.4354): committee, Government, council, House, Team, Committee, Council, Court # Cluster 186 Predicates: transfer, load, discharge Subjects (sim = 0.7754): ship, company Objects (sim = 0.4203): all, out # Cluster 163 Predicates: mean, faze, hurt Subjects (sim = 0.3890): man, player Objects (sim = 0.4698): anyone, person, guy, people # Cluster 190 Predicates: immerse, inhale, breathe Subjects (sim = 0.5346): about, people, thousand Objects (sim = 0.4349): breath, sigh, fresh, smell # Cluster 184 Predicates: solve, handle, foresee Subjects (sim = 0.2811): problem, solution, question, model, Problem, thing Objects (sim = 0.4514): generation, future # Cluster 185 Predicates: sail, ride, paddle Subjects (sim = 0.3934): about, people, thousand Objects (sim = 0.5317): checkpoint, bus, van, bicycle, railroad, canoe, torch, boat, bike, vehicle, guitar, seat, driver, car, road, street, traffic, gear # Cluster 194 Predicates: discharge, supply, flow Subjects (sim = 0.8025): ship, company Objects (sim = 0.4220): land, water, sea # Cluster 187 Predicates: spot, place, row Subjects (sim = 0.3636): about, people, thousand Objects (sim = 0.5124): problem, phenomenon, thing # Cluster 199 Predicates: chirp, sound, rattle Subjects (sim = 0.5899): voice, music, trumpet, sound, folk Objects (sim = 0.6948): phone, alarm # Cluster 151 Predicates: treat, act, recognize Subjects (sim = 0.4829): about, people, thousand Objects (sim = 0.3523): problem, phenomenon, thing # Cluster 161 Predicates: charge, cost, load Subjects (sim = 0.4506): man, player Objects (sim = 0.6225): amount, detail, much # Cluster 181 Predicates: attempt, struggle, push Subjects (sim = 0.3732): about, people, thousand Objects (sim = 0.6133): hundred, people # Cluster 147 Predicates: give, provide, serve, seek Subjects (sim = 0.4740): audience, public, everyone, community, people, population Objects (sim = 0.5024): Money, money, charity, fund, donation, grant, cash, support # Cluster 191 Predicates: detect, emit, smell Subjects (sim = 0.3621): scientist, alien Objects (sim = 0.4580): change, alteration # Cluster 153 Predicates: set, dictate, follow Subjects (sim = 0.3535): ticket, book Objects (sim = 0.4663): trend, pace # Cluster 200 Predicates: wound, pin, rub Subjects (sim = 0.6121): man, player Objects (sim = 0.3615): himself, kid, guy, man, brother, boy # Cluster 188 Predicates: occupy, spot, rank Subjects (sim = 0.4952): about, people, thousand Objects (sim = 0.4112): problem, phenomenon, thing # Cluster 206 Predicates: reward, apprehend, punish Subjects (sim = 0.5478): police, officer, guard Objects (sim = 0.3358): pest, offender # Cluster 197 Predicates: school, track, train Subjects (sim = 0.4164): expert, protection Objects (sim = 0.3774): student, participant # Cluster 165 Predicates: treat, use, develop Subjects (sim = 0.3763): about, people, thousand Objects (sim = 0.5445): treatment, disease, miscarriage, jaundice, asthma, Disorder, flu, autism, drug, kidney, malnutrition, disorder, genetics, arthritis, cancer, ulcer, crime # Cluster 195 Predicates: border, travel, train Subjects (sim = 0.4498): expert, protection Objects (sim = 0.4134): management, service, staff, personnel, department, employee # Cluster 172 Predicates: demonstrate, recognize, represent Subjects (sim = 0.4126): about, people, thousand Objects (sim = 0.4059): problem, phenomenon, thing # Cluster 208 Predicates: upset, shock, stun Subjects (sim = 0.2788): thing, example Objects (sim = 0.6011): hundred, people # Cluster 177 Predicates: spell, mean, rule Subjects (sim = 0.4170): government, policy Objects (sim = 0.4709): hundred, people # Cluster 209 Predicates: damn, sound, wow Subjects (sim = 0.5036): voice, music, trumpet, sound, folk Objects (sim = 0.7020): phone, alarm # Cluster 207 Predicates: commence, date, arrive Subjects (sim = 0.3273): owner, door, schoolteacher, woman, boyfriend, wife, father, husband, girl, body, neighbor, house, life, doctor, mother, himself, caller, marriage, nurse, friend, farmer, man, family, resident Objects (sim = 0.6682): back, home # Cluster 201 Predicates: apprehend, locate, nab Subjects (sim = 0.5649): police, officer, guard Objects (sim = 0.3155): guy, MAN, man, Man # Cluster 204 Predicates: occupy, ransack, empty Subjects (sim = 0.5142): about, people, thousand Objects (sim = 0.5649): street, house # Cluster 178 Predicates: request, notice, order Subjects (sim = 0.4101): about, people, thousand Objects (sim = 0.4489): change, alteration # Cluster 203 Predicates: exude, possess, lack Subjects (sim = 0.3626): country, society, government, public, regime, state Objects (sim = 0.6365): generation, power # Cluster 213 Predicates: inhabit, adore, fascinate Subjects (sim = 0.5196): about, people, thousand Objects (sim = 0.4752): forest, town, city, housing, property, farm, land, village # Cluster 225 Predicates: mispronounce, boo, chastise Subjects (sim = 0.4009): speaker, guest Objects (sim = 0.4166): other, present # Cluster 192 Predicates: set, break, push Subjects (sim = 0.3028): about, people, thousand Objects (sim = 0.5299): hundred, people # Cluster 198 Predicates: kick, start, turn Subjects (sim = 0.5325): man, player Objects (sim = 0.3246): future, key # Cluster 223 Predicates: slide, roll, row Subjects (sim = 0.4450): about, people, thousand Objects (sim = 0.6221): all, out # Cluster 227 Predicates: eat, sing, sit Subjects (sim = 0.4254): about, people, thousand Objects (sim = 0.5025): seat, ticket # Cluster 155 Predicates: give, provide, bring Subjects (sim = 0.4637): audience, public, everyone, community, people, population Objects (sim = 0.4645): Money, money, charity, fund, donation, grant, cash, support # Cluster 210 Predicates: impress, exude, shine Subjects (sim = 0.2786): volume, light, traffic Objects (sim = 0.3890): mine, friend # Cluster 228 Predicates: border, cross, flow Subjects (sim = 0.3523): mouse, vet, cat, snake, animal, boy Objects (sim = 0.4417): path, road, course, way # Cluster 229 Predicates: pedal, chair, paddle Subjects (sim = 0.4320): Mayor, Chief, director, Director, official, shareholder, chairman, Chairman, delegate, President, Governor, organizer, Fire, representative, president Objects (sim = 0.4888): committee, Government, council, House, Team, Committee, Council, Court # Cluster 215 Predicates: arrive, come, gather Subjects (sim = 0.3688): about, people, thousand Objects (sim = 0.7410): back, home # Cluster 216 Predicates: throng, delight, cheer Subjects (sim = 0.3677): about, people, thousand Objects (sim = 0.4808): other, present # Cluster 224 Predicates: school, teach, discipline Subjects (sim = 0.4205): Professor, agent, expert, Law, researcher, student, scientist, university, Scientist, lecturer, historian, Doctor, environmentalist, literature, professor, teacher, organizer, science, analyst, geologist Objects (sim = 0.5405): student, participant # Cluster 221 Predicates: gather, mourn, observe Subjects (sim = 0.4208): about, people, thousand Objects (sim = 0.4017): change, alteration # Cluster 196 Predicates: show, host, talk Subjects (sim = 0.4098): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6038): evidence, resistance # Cluster 212 Predicates: feel, breathe, comfort Subjects (sim = 0.5230): about, people, thousand Objects (sim = 0.4199): anxious, sigh, confidence, hope, good # Cluster 205 Predicates: date, notify, notice Subjects (sim = 0.3331): about, people, thousand Objects (sim = 0.4325): change, alteration # Cluster 231 Predicates: submit, form, formulate Subjects (sim = 0.3825): person, participant Objects (sim = 0.5498): term, plan # Cluster 211 Predicates: fail, lose, lack Subjects (sim = 0.3942): about, people, thousand Objects (sim = 0.4908): generation, power # Cluster 234 Predicates: damn, suck, despise Subjects (sim = 0.5845): most, history Objects (sim = 0.3393): other, present # Cluster 217 Predicates: sweep, beat, snatch Subjects (sim = 0.4600): man, player Objects (sim = 0.2968): parent, woman, son, person, kid, baby, self, Baby, adult, girl, boy, child # Cluster 189 Predicates: lose, get, gain Subjects (sim = 0.4736): about, people, thousand Objects (sim = 0.7895): back, home # Cluster 7 Predicates: give, be, work, reach, go, start, handle, come, do, translate, stay, can, see, find, get, have, create, place, make, live, become Subjects (sim = 0.4493): about, people, thousand Objects (sim = 0.4673): back, home # Cluster 214 Predicates: force, discipline, command Subjects (sim = 0.4636): General, hospital Objects (sim = 0.5557): army, slum # Cluster 242 Predicates: reward, sacrifice, pay Subjects (sim = 0.4902): patient, HIM Objects (sim = 0.4998): payment, cash # Cluster 238 Predicates: slam, sweep, row Subjects (sim = 0.5491): critic, piece Objects (sim = 0.3408): Street, office, house, building # Cluster 246 Predicates: explore, inhabit Subjects (sim = 0.4942): about, people, thousand Objects (sim = 0.6344): forest, town, city, housing, property, farm, land, village # Cluster 236 Predicates: burn, sell, dump Subjects (sim = 0.4531): man, player Objects (sim = 0.4489): himself, briefly # Cluster 218 Predicates: discern, define, illuminate Subjects (sim = 0.4993): volume, light, traffic Objects (sim = 0.4033): horizon, face, smile # Cluster 222 Predicates: steal, squander, snatch Subjects (sim = 0.2366): Boy, boy Objects (sim = 0.3626): revenue, money, fund, dollar # Cluster 250 Predicates: dump, flood Subjects (sim = 0.3918): rain, fire Objects (sim = 0.6100): back, home # Cluster 249 Predicates: crush, swarm Subjects (sim = 0.6451): police, hospital Objects (sim = 0.4821): area, field # Cluster 230 Predicates: cover, cut, pay Subjects (sim = 0.4119): driver, pursuit, man Objects (sim = 0.4390): all, out # Cluster 239 Predicates: book, teach, tutor Subjects (sim = 0.4414): student, body Objects (sim = 0.5317): student, participant # Cluster 193 Predicates: call, ask, please Subjects (sim = 0.4212): about, people, thousand Objects (sim = 0.4047): hundred, people # Cluster 244 Predicates: provide, demonstrate, represent Subjects (sim = 0.5753): Group, team, group Objects (sim = 0.3780): firm, bank, company # Cluster 220 Predicates: conduct, attend, observe Subjects (sim = 0.3573): about, people, thousand Objects (sim = 0.3617): genetics, research # Cluster 232 Predicates: love, desire, interest Subjects (sim = 0.3803): about, people, thousand Objects (sim = 0.4740): anyone, person, guy, people # Cluster 254 Predicates: date, set Subjects (sim = 0.3198): owner, door, schoolteacher, woman, boyfriend, wife, father, husband, girl, body, neighbor, house, life, doctor, mother, himself, caller, marriage, nurse, friend, farmer, man, family, resident Objects (sim = 0.6340): shop, plant # Cluster 256 Predicates: protect, care Subjects (sim = 0.6957): protection, Protection, safeguard Objects (sim = 0.4612): hundred, people # Cluster 226 Predicates: move, dump, turn Subjects (sim = 0.3599): price, temperature, supply Objects (sim = 0.4698): hundred, people # Cluster 247 Predicates: inspect, visit Subjects (sim = 0.2953): about, people, thousand Objects (sim = 0.6891): back, home # Cluster 257 Predicates: boo, adore Subjects (sim = 0.4325): about, people, thousand Objects (sim = 0.4542): guy, MAN, man, Man # Cluster 233 Predicates: pass, throw, cross Subjects (sim = 0.4286): about, people, thousand Objects (sim = 0.5762): all, out # Cluster 252 Predicates: note, thank Subjects (sim = 0.4522): about, people, thousand Objects (sim = 0.5028): change, alteration # Cluster 1 Predicates: depend, tell, own, feel, do, foresee, view, suffer, contact, talk, hate, consider, write, worry, like, want, lose, count, understand, recognize, look, fail, know, stereotype, perceive, care, trust, love, shame, precipitate, belong, kid, believe, can, see, assure, have, predict, dictate, speak, hear, think, loathe, say, call, damn, expect, mean, anticipate, regard, ask Subjects (sim = 0.4656): about, people, thousand Objects (sim = 0.4408): hundred, people # Cluster 202 Predicates: steal, buy, sell Subjects (sim = 0.3076): about, people, thousand Objects (sim = 0.3051): jewel, property, land, asset # Cluster 255 Predicates: desire, dislike Subjects (sim = 0.5129): about, people, thousand Objects (sim = 0.4374): other, present # Cluster 260 Predicates: sacrifice, protect Subjects (sim = 0.8095): protection, Protection, safeguard Objects (sim = 0.4330): hundred, people # Cluster 251 Predicates: sound, feel Subjects (sim = 0.4612): about, people, thousand Objects (sim = 0.5659): phone, alarm # Cluster 266 Predicates: break, end Subjects (sim = 0.5414): Voting, discussion Objects (sim = 0.5293): today, day # Cluster 271 Predicates: earn, rank Subjects (sim = 0.5553): audience, public, everyone, community, people, population Objects (sim = 0.4330): revenue, business, company, profit # Cluster 274 Predicates: boo, sing Subjects (sim = 0.3151): fan, ticket, guest, visitor, attendance Objects (sim = 0.4373): hundred, people # Cluster 267 Predicates: batter, pan Subjects (sim = 0.5904): man, player Objects (sim = 0.4346): gold, green # Cluster 265 Predicates: torch, mourn Subjects (sim = 0.3904): protestor, woman, soldier, prisoner, demonstrator, cell Objects (sim = 0.3476): contractor, parent, teacher, partner, person, worker, employee, participant, child # Cluster 219 Predicates: move, start, return Subjects (sim = 0.3369): price, temperature, supply Objects (sim = 0.5993): back, home # Cluster 253 Predicates: punish, strike Subjects (sim = 0.4955): man, player Objects (sim = 0.3615): teacher, girl, pupil, child # Cluster 241 Predicates: explore, engage, immerse Subjects (sim = 0.3706): about, people, thousand Objects (sim = 0.3576): student, participant # Cluster 276 Predicates: irk, discourage Subjects (sim = 0.4288): thing, example Objects (sim = 0.5983): hundred, people # Cluster 273 Predicates: cast, throng Subjects (sim = 0.5354): art, piece Objects (sim = 0.5690): street, house # Cluster 183 Predicates: batter, run, walk Subjects (sim = 0.4619): government, policy Objects (sim = 0.5260): show, present # Cluster 272 Predicates: aid, care Subjects (sim = 0.2676): principal, parent, teacher, Parent, child Objects (sim = 0.4502): hundred, people # Cluster 270 Predicates: anticipate, generate Subjects (sim = 0.6617): ship, company Objects (sim = 0.5633): risk, expense, option # Cluster 262 Predicates: escort, throng Subjects (sim = 0.7328): police, officer, guard Objects (sim = 0.4000): ticket, visitor # Cluster 277 Predicates: slam, empty Subjects (sim = 0.7017): critic, piece Objects (sim = 0.6183): firm, bank, company # Cluster 269 Predicates: stand, shine Subjects (sim = 0.5221): volume, light, traffic Objects (sim = 0.4558): eye, with, horizon, face, shadow, light # Cluster 264 Predicates: satisfy, assure Subjects (sim = 0.1913): everybody, anybody, sound, kid, another, about, EVERYBODY, ourselves, anything, hard, proof, nobody, so, everything, EVERYONE, hand, all, think, everyone, need, work, more, want, nothing, People, say, Everybody, er, great, people, Him, call, himself, circumstance, person, anyone, wall, thing, twist, much, little Objects (sim = 0.4064): fan, ticket # Cluster 243 Predicates: employ, instruct, serve Subjects (sim = 0.3170): about, people, thousand Objects (sim = 0.4604): hundred, people # Cluster 258 Predicates: employ, force Subjects (sim = 0.4978): Plant, Chemical, Mine, plant Objects (sim = 0.6019): hundred, people # Cluster 248 Predicates: force, push Subjects (sim = 0.3041): price, rating Objects (sim = 0.6230): hundred, people # Cluster 275 Predicates: scan, flash Subjects (sim = 0.5480): volume, light, traffic Objects (sim = 0.5091): green, light, energy # Cluster 282 Predicates: spook, bear Subjects (sim = 0.5302): about, people, thousand Objects (sim = 0.3388): body, arm # Cluster 237 Predicates: cast, show, live Subjects (sim = 0.3259): about, people, thousand Objects (sim = 0.5934): evidence, resistance # Cluster 259 Predicates: enjoy, eat Subjects (sim = 0.3958): about, people, thousand Objects (sim = 0.3447): most, world, major, history # Cluster 289 Predicates: date, advance Subjects (sim = 0.3874): owner, door, schoolteacher, woman, boyfriend, wife, father, husband, girl, body, neighbor, house, life, doctor, mother, himself, caller, marriage, nurse, friend, farmer, man, family, resident Objects (sim = 0.4808): woman, student, animal, man, adult, female, girl, male # Cluster 290 Predicates: pronounce, breathe Subjects (sim = 0.5191): about, people, thousand Objects (sim = 0.5331): breath, sigh, fresh, smell # Cluster 263 Predicates: be, mean Subjects (sim = 0.4615): law, policy Objects (sim = 0.4939): death, body # Cluster 299 Predicates: advance, gain Subjects (sim = 0.5273): sale, release Objects (sim = 0.3552): homework, work, assignment # Cluster 296 Predicates: calm, caution Subjects (sim = 0.5383): official, source Objects (sim = 0.6117): breath, nerve # Cluster 235 Predicates: meet, encounter, visit Subjects (sim = 0.4461): about, people, thousand Objects (sim = 0.4254): problem, phenomenon, thing # Cluster 302 Predicates: weigh, depend Subjects (sim = 0.5230): success, record Objects (sim = 0.5110): light, traffic # Cluster 294 Predicates: pin, punch Subjects (sim = 0.6473): man, player Objects (sim = 0.5074): himself, kid, guy, man, brother, boy # Cluster 298 Predicates: earn, pay Subjects (sim = 0.4142): audience, public, everyone, community, people, population Objects (sim = 0.4255): payment, cash # Cluster 293 Predicates: strip, comb Subjects (sim = 0.5501): police, hospital Objects (sim = 0.5794): area, field # Cluster 288 Predicates: hail, represent Subjects (sim = 0.6730): Group, team, group Objects (sim = 0.5584): hundred, people # Cluster 292 Predicates: consider, avoid Subjects (sim = 0.5056): about, people, thousand Objects (sim = 0.5506): hundred, people # Cluster 297 Predicates: file, copy Subjects (sim = 0.7455): Copy, COPY, copy, click Objects (sim = 0.5887): file, object # Cluster 287 Predicates: fluctuate, count Subjects (sim = 0.6820): price, temperature, supply Objects (sim = 0.5714): more, less, so, much, little # Cluster 268 Predicates: head, quit Subjects (sim = 0.4409): leader, winner Objects (sim = 0.4183): committee, agency, organization, group # Cluster 285 Predicates: bash, invite Subjects (sim = 0.4574): Department, Society Objects (sim = 0.4273): hundred, people # Cluster 281 Predicates: cross, enter Subjects (sim = 0.3849): mouse, vet, cat, snake, animal, boy Objects (sim = 0.7202): back, home # Cluster 261 Predicates: reveal, illuminate Subjects (sim = 0.5290): volume, light, traffic Objects (sim = 0.5870): evidence, resistance # Cluster 301 Predicates: trust, govern Subjects (sim = 0.3737): about, people, thousand Objects (sim = 0.4613): more, less, so, much, little # Cluster 320 Predicates: squander, berate Subjects (sim = 0.5480): about, people, thousand Objects (sim = 0.5181): other, present # Cluster 278 Predicates: observe, notice Subjects (sim = 0.3793): about, people, thousand Objects (sim = 0.4761): change, alteration # Cluster 307 Predicates: irk, resent Subjects (sim = 0.3918): about, people, thousand Objects (sim = 0.4572): other, present # Cluster 306 Predicates: exceed, anticipate Subjects (sim = 0.6538): ship, company Objects (sim = 0.5157): risk, expense, option # Cluster 240 Predicates: reach, attract, bring Subjects (sim = 0.4278): event, attendance Objects (sim = 0.2959): hundred, people # Cluster 312 Predicates: aid, flood Subjects (sim = 0.4365): rain, fire Objects (sim = 0.6817): back, home # Cluster 314 Predicates: soothe, comfort Subjects (sim = 0.3032): servant, woman, person, man, possessor Objects (sim = 0.6414): other, present # Cluster 311 Predicates: date, rate Subjects (sim = 0.3436): owner, door, schoolteacher, woman, boyfriend, wife, father, husband, girl, body, neighbor, house, life, doctor, mother, himself, caller, marriage, nurse, friend, farmer, man, family, resident Objects (sim = 0.4124): woman, student, animal, man, adult, female, girl, male # Cluster 321 Predicates: break, match Subjects (sim = 0.5656): Broad, building Objects (sim = 0.5222): term, supply # Cluster 245 Predicates: submit, apply, follow Subjects (sim = 0.3302): study, excavation Objects (sim = 0.4956): trend, pace # Cluster 322 Predicates: dig, dip Subjects (sim = 0.6872): price, temperature, supply Objects (sim = 0.5122): more, less, so, much, little # Cluster 308 Predicates: sweep, shake Subjects (sim = 0.4833): police, hospital Objects (sim = 0.3323): audience, public, everyone, crowd, community, people # Cluster 304 Predicates: spot, shine Subjects (sim = 0.2764): volume, light, traffic Objects (sim = 0.4834): problem, phenomenon, thing # Cluster 280 Predicates: sentence, notice Subjects (sim = 0.3822): about, people, thousand Objects (sim = 0.4714): change, alteration # Cluster 325 Predicates: eat, walk Subjects (sim = 0.4967): plant, farmer Objects (sim = 0.4706): hundred, people # Cluster 303 Predicates: rule, order Subjects (sim = 0.4223): leader, winner Objects (sim = 0.4847): hundred, people # Cluster 319 Predicates: fulfill, govern Subjects (sim = 0.4964): reform, conservative, government, minister, bishop, mayor, politician, governor, prosecutor Objects (sim = 0.4409): hundred, people # Cluster 329 Predicates: sail, torch Subjects (sim = 0.3689): replica, demonstrator Objects (sim = 0.6683): telescope, boat # Cluster 332 Predicates: dip, pan Subjects (sim = 0.6872): price, temperature, supply Objects (sim = 0.5122): more, less, so, much, little # Cluster 279 Predicates: work, design Subjects (sim = 0.4113): about, people, thousand Objects (sim = 0.3878): approach, way # Cluster 318 Predicates: inform, fulfill Subjects (sim = 0.4577): police, hospital Objects (sim = 0.4015): officer, employee # Cluster 291 Predicates: set, meet Subjects (sim = 0.5282): area, city, road, River, land, river Objects (sim = 0.4992): yacht, sea, Sea # Cluster 284 Predicates: copy, notice Subjects (sim = 0.3729): about, people, thousand Objects (sim = 0.4578): change, alteration # Cluster 300 Predicates: drop, dump Subjects (sim = 0.4813): price, rating Objects (sim = 0.6616): more, less, so, much, little # Cluster 336 Predicates: fit, handle Subjects (sim = 0.6890): most, history Objects (sim = 0.7075): size, design, style # Cluster 339 Predicates: spell, stay Subjects (sim = 0.4009): speaker, guest Objects (sim = 0.6833): street, house # Cluster 338 Predicates: add, pan Subjects (sim = 0.4374): about, people, thousand Objects (sim = 0.5218): pound, little # Cluster 334 Predicates: roll, pan Subjects (sim = 0.4659): about, people, thousand Objects (sim = 0.5441): all, out # Cluster 340 Predicates: die, fight Subjects (sim = 0.4230): about, people, thousand Objects (sim = 0.6339): cold, hard # Cluster 346 Predicates: console, berate Subjects (sim = 0.4568): about, people, thousand Objects (sim = 0.7071): other, present # Cluster 330 Predicates: govern, handle Subjects (sim = 0.5032): reform, conservative, government, minister, bishop, mayor, politician, governor, prosecutor Objects (sim = 0.5468): hundred, people # Cluster 326 Predicates: locate, acquire Subjects (sim = 0.5282): about, people, thousand Objects (sim = 0.3149): malnutrition, autism, child # Cluster 310 Predicates: instruct, observe Subjects (sim = 0.3098): about, people, thousand Objects (sim = 0.3247): change, alteration # Cluster 343 Predicates: stop, block Subjects (sim = 0.5364): about, people, thousand Objects (sim = 0.3276): treatment, training # Cluster 348 Predicates: contradict, irk Subjects (sim = 0.3975): report, source Objects (sim = 0.5922): hundred, people # Cluster 317 Predicates: torture, denounce Subjects (sim = 0.5266): man, player Objects (sim = 0.4359): activity, violence # Cluster 331 Predicates: fulfill, execute Subjects (sim = 0.3556): about, people, thousand Objects (sim = 0.5946): term, plan # Cluster 341 Predicates: feed, keep Subjects (sim = 0.5620): milk, baby Objects (sim = 0.4217): hundred, people # Cluster 345 Predicates: swarm, chase Subjects (sim = 0.6803): police, hospital Objects (sim = 0.4530): area, field # Cluster 335 Predicates: flash, punch Subjects (sim = 0.5176): man, player Objects (sim = 0.4163): himself, kid, guy, man, brother, boy # Cluster 350 Predicates: explode, blast Subjects (sim = 0.6948): critic, piece Objects (sim = 0.3203): plot, film # Cluster 353 Predicates: fly, go Subjects (sim = 0.3829): name, picture Objects (sim = 0.4069): car, gas # Cluster 309 Predicates: instruct, hand Subjects (sim = 0.4400): about, people, thousand Objects (sim = 0.3016): mum, leaflet # Cluster 305 Predicates: approve, condemn Subjects (sim = 0.4403): ticket, voter Objects (sim = 0.4491): activity, violence # Cluster 352 Predicates: console, sound Subjects (sim = 0.4851): voice, music, trumpet, sound, folk Objects (sim = 0.6300): phone, alarm # Cluster 324 Predicates: fail, instruct Subjects (sim = 0.3281): schoolteacher, teacher, schoolmaster, nurse, language, tutor, pupil Objects (sim = 0.3774): student, participant # Cluster 360 Predicates: sail, swell Subjects (sim = 0.4806): number, record, attendance Objects (sim = 0.6351): telescope, boat # Cluster 362 Predicates: pin, match Subjects (sim = 0.5656): Broad, building Objects (sim = 0.5129): term, supply # Cluster 351 Predicates: die, live Subjects (sim = 0.4496): about, people, thousand Objects (sim = 0.5590): forest, town, city, housing, property, farm, land, village # Cluster 313 Predicates: show, mock Subjects (sim = 0.4951): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6247): evidence, resistance # Cluster 323 Predicates: cost, design Subjects (sim = 0.3447): testing, manufacturer Objects (sim = 0.3666): amount, detail, much # Cluster 361 Predicates: calm, exude Subjects (sim = 0.3345): other, hand Objects (sim = 0.5833): poison, nerve # Cluster 364 Predicates: strip, club Subjects (sim = 0.6142): woman, Man, man, Woman, girl Objects (sim = 0.5279): other, present # Cluster 315 Predicates: take, begin Subjects (sim = 0.4051): about, people, thousand Objects (sim = 0.3874): other, present # Cluster 367 Predicates: soothe, reinforce Subjects (sim = 0.4595): evidence, motivation Objects (sim = 0.5060): poison, nerve # Cluster 358 Predicates: chair, applaud Subjects (sim = 0.5228): Mayor, Chief, director, Director, official, shareholder, chairman, Chairman, delegate, President, Governor, organizer, Fire, representative, president Objects (sim = 0.5023): committee, Government, council, House, Team, Committee, Council, Court # Cluster 365 Predicates: bear, euthanize Subjects (sim = 0.4441): about, people, thousand Objects (sim = 0.3006): body, arm # Cluster 374 Predicates: explode, empty Subjects (sim = 0.4602): number, record, attendance Objects (sim = 0.5060): bank, Express # Cluster 366 Predicates: classify, count Subjects (sim = 0.4845): area, activity, section, population Objects (sim = 0.6334): hundred, people # Cluster 344 Predicates: reward, praise Subjects (sim = 0.4167): about, people, thousand Objects (sim = 0.3626): plot, film # Cluster 378 Predicates: discontinue, eliminate Subjects (sim = 0.4790): about, people, thousand Objects (sim = 0.4563): treatment, training # Cluster 347 Predicates: measure, pass Subjects (sim = 0.4926): student, body Objects (sim = 0.3122): homework, work, assignment # Cluster 371 Predicates: abandon, stick Subjects (sim = 0.5020): about, people, thousand Objects (sim = 0.6071): all, out # Cluster 370 Predicates: exude, comfort Subjects (sim = 0.2889): servant, woman, person, man, possessor Objects (sim = 0.5605): other, present # Cluster 359 Predicates: head, chair Subjects (sim = 0.4590): Mayor, Chief, director, Director, official, shareholder, chairman, Chairman, delegate, President, Governor, organizer, Fire, representative, president Objects (sim = 0.4886): committee, agency, organization, group # Cluster 382 Predicates: rock, sing Subjects (sim = 0.5430): most, history Objects (sim = 0.5093): world, today # Cluster 380 Predicates: euthanize, board Subjects (sim = 0.6788): doctor, agent Objects (sim = 0.4120): bus, ticket # Cluster 355 Predicates: solve, understand Subjects (sim = 0.3976): about, people, thousand Objects (sim = 0.4609): other, present # Cluster 354 Predicates: keep, check Subjects (sim = 0.6323): police, hospital Objects (sim = 0.4169): database, computer # Cluster 387 Predicates: cast, sing Subjects (sim = 0.5182): art, piece Objects (sim = 0.3983): loud, chant, louder, crowd # Cluster 333 Predicates: steal, throw Subjects (sim = 0.2285): Boy, boy Objects (sim = 0.3337): revenue, money, fund, dollar # Cluster 349 Predicates: hand, hold Subjects (sim = 0.4646): about, people, thousand Objects (sim = 0.5664): view, hope, belief # Cluster 390 Predicates: despise, struggle Subjects (sim = 0.4988): about, people, thousand Objects (sim = 0.4277): other, present # Cluster 386 Predicates: chirp, hatch Subjects (sim = 0.5032): man, player Objects (sim = 0.7722): scheme, plot, project, plan # Cluster 393 Predicates: embezzle, deceive Subjects (sim = 0.6143): officer, employee Objects (sim = 0.5984): revenue, money, fund, dollar # Cluster 391 Predicates: weigh, pin Subjects (sim = 0.5432): scale, step Objects (sim = 0.5016): light, traffic # Cluster 383 Predicates: fail, abandon Subjects (sim = 0.5480): about, people, thousand Objects (sim = 0.4850): campaign, effort, launch, bid, operation # Cluster 295 Predicates: hit, drive Subjects (sim = 0.4389): about, people, thousand Objects (sim = 0.3443): anyone, person, guy, people # Cluster 394 Predicates: rank, categorize Subjects (sim = 0.4920): about, people, thousand Objects (sim = 0.6357): school, church # Cluster 357 Predicates: carry, check Subjects (sim = 0.5578): police, hospital Objects (sim = 0.3576): database, computer # Cluster 388 Predicates: hail, hear Subjects (sim = 0.3991): voice, music, trumpet, sound, folk Objects (sim = 0.6074): hundred, people # Cluster 342 Predicates: ask, rule Subjects (sim = 0.4041): leader, winner Objects (sim = 0.3980): hundred, people # Cluster 328 Predicates: act, do Subjects (sim = 0.3247): about, people, thousand Objects (sim = 0.3219): everybody, be, anybody, back, none, good, ourselves, Nothing, anything, either, tear, course, hard, NOTHING, nobody, so, everything, goodness, all, figure, homework, everyone, nothing, people, worse, way, ANYTHING, anyone, know, thing, much, little # Cluster 399 Predicates: console, pedal Subjects (sim = 0.5013): about, people, thousand Objects (sim = 0.6237): other, present # Cluster 395 Predicates: volunteer, thank Subjects (sim = 0.5250): about, people, thousand Objects (sim = 0.4851): truth, goodness # Cluster 400 Predicates: beg, aid Subjects (sim = 0.4790): ship, company Objects (sim = 0.5097): doctor, telephone # Cluster 385 Predicates: fit, design Subjects (sim = 0.3835): testing, manufacturer Objects (sim = 0.4919): application, project, grant # Cluster 369 Predicates: assess, understand Subjects (sim = 0.4407): about, people, thousand Objects (sim = 0.5216): other, present # Cluster 316 Predicates: see, observe Subjects (sim = 0.4081): about, people, thousand Objects (sim = 0.4964): hundred, people # Cluster 404 Predicates: stir, swell Subjects (sim = 0.5138): number, record, attendance Objects (sim = 0.5327): hundred, people # Cluster 384 Predicates: handle, hand Subjects (sim = 0.4673): about, people, thousand Objects (sim = 0.3779): mum, leaflet # Cluster 396 Predicates: misappropriate, protect Subjects (sim = 0.8116): protection, Protection, safeguard Objects (sim = 0.4330): hundred, people # Cluster 379 Predicates: recognize, observe Subjects (sim = 0.4084): about, people, thousand Objects (sim = 0.4794): problem, phenomenon, thing # Cluster 381 Predicates: steal, swipe Subjects (sim = 0.2280): mob, kidnapper, thief, murderer, prisoner, assassination, dictator, possessor, assassin, detective, police, burglar, robber, dealer, rapist, crime, killer, militant, pickpocket, Terrorist, POLICE, Killer, traffic Objects (sim = 0.3754): revenue, money, fund, dollar # Cluster 408 Predicates: apply, discharge Subjects (sim = 0.8697): ship, company Objects (sim = 0.4552): land, water, sea # Cluster 398 Predicates: protect, fight Subjects (sim = 0.7088): protection, Protection, safeguard Objects (sim = 0.4626): cold, hard # Cluster 283 Predicates: place, make Subjects (sim = 0.3664): about, people, thousand Objects (sim = 0.3880): back, home # Cluster 337 Predicates: follow, observe Subjects (sim = 0.2938): study, excavation Objects (sim = 0.4831): trend, pace # Cluster 410 Predicates: hail, flood Subjects (sim = 0.3824): critic, piece Objects (sim = 0.6240): back, home # Cluster 373 Predicates: conduct, govern Subjects (sim = 0.4350): Group, team, group Objects (sim = 0.3774): genetics, research # Cluster 397 Predicates: cover, protect Subjects (sim = 0.6414): protection, Protection, safeguard Objects (sim = 0.5366): all, out # Cluster 412 Predicates: disappoint, surpass Subjects (sim = 0.3860): release, film Objects (sim = 0.3684): other, present # Cluster 416 Predicates: cross, paddle Subjects (sim = 0.4119): mouse, vet, cat, snake, animal, boy Objects (sim = 0.4265): adventure, camping, canoe # Cluster 405 Predicates: turn, flow Subjects (sim = 0.3170): hair, everything Objects (sim = 0.3876): future, key # Cluster 418 Predicates: batter, faze Subjects (sim = 0.5681): man, player Objects (sim = 0.3725): pound, kid # Cluster 375 Predicates: cite, lack Subjects (sim = 0.3042): officer, employee Objects (sim = 0.5908): reason, evidence # Cluster 402 Predicates: handle, execute Subjects (sim = 0.3574): ship, company Objects (sim = 0.6039): term, plan # Cluster 407 Predicates: consider, begin Subjects (sim = 0.4502): about, people, thousand Objects (sim = 0.4016): hundred, people # Cluster 356 Predicates: appreciate, notice Subjects (sim = 0.4557): about, people, thousand Objects (sim = 0.3418): art, music, artist, television, film, wine # Cluster 286 Predicates: cover, make Subjects (sim = 0.3597): about, people, thousand Objects (sim = 0.3814): back, home # Cluster 368 Predicates: accuse, embezzle Subjects (sim = 0.3305): about, people, thousand Objects (sim = 0.3763): government, machinery # Cluster 420 Predicates: border, stop Subjects (sim = 0.5374): about, people, thousand Objects (sim = 0.3247): treatment, training # Cluster 377 Predicates: get, suck Subjects (sim = 0.4172): about, people, thousand Objects (sim = 0.8103): back, home # Cluster 427 Predicates: torch, pan Subjects (sim = 0.5172): replica, demonstrator Objects (sim = 0.5472): gold, green # Cluster 372 Predicates: contribute, cause Subjects (sim = 0.3481): audience, public, everyone, community, people, population Objects (sim = 0.4106): distress, damage # Cluster 422 Predicates: bash, cheer Subjects (sim = 0.4778): about, people, thousand Objects (sim = 0.5048): other, present # Cluster 406 Predicates: throw, jump Subjects (sim = 0.3323): sale, cost, productivity, price, currency, value, demand, speed, consumer, buyer Objects (sim = 0.5085): more, less, so, much, little # Cluster 417 Predicates: dislike, irritate Subjects (sim = 0.5315): about, people, thousand Objects (sim = 0.5605): anyone, person, guy, people # Cluster 389 Predicates: criticize, speak Subjects (sim = 0.4819): about, people, thousand Objects (sim = 0.3617): pound, little # Cluster 327 Predicates: run, blast Subjects (sim = 0.4597): government, policy Objects (sim = 0.5174): show, present # Cluster 425 Predicates: despise, hail Subjects (sim = 0.3981): critic, piece Objects (sim = 0.3551): guy, MAN, man, Man # Cluster 413 Predicates: act, wreak Subjects (sim = 0.4076): about, people, thousand Objects (sim = 0.2576): reason, damage, consequence, crisis, fault, phenomenon, plague, controversy, Disorder, concern, problem, tear, havoc, catastrophe, risk, thing, situation # Cluster 431 Predicates: exude, demonstrate Subjects (sim = 0.3951): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.5419): evidence, resistance # Cluster 430 Predicates: clash, fight Subjects (sim = 0.4724): militant, group Objects (sim = 0.6094): cold, hard # Cluster 428 Predicates: chair, sit Subjects (sim = 0.5153): Mayor, Chief, director, Director, official, shareholder, chairman, Chairman, delegate, President, Governor, organizer, Fire, representative, president Objects (sim = 0.4954): committee, Government, council, House, Team, Committee, Council, Court # Cluster 401 Predicates: help, encourage Subjects (sim = 0.4446): about, people, thousand Objects (sim = 0.4402): hundred, people # Cluster 443 Predicates: load, torch Subjects (sim = 0.5546): replica, demonstrator Objects (sim = 0.4738): vehicle, object # Cluster 409 Predicates: engage, educate Subjects (sim = 0.4594): student, body Objects (sim = 0.4129): student, participant # Cluster 392 Predicates: work, perform Subjects (sim = 0.3260): ship, company Objects (sim = 0.5346): move, act, action, step # Cluster 438 Predicates: apply, govern Subjects (sim = 0.4954): reform, conservative, government, minister, bishop, mayor, politician, governor, prosecutor Objects (sim = 0.5468): hundred, people # Cluster 426 Predicates: console, command Subjects (sim = 0.5124): General, hospital Objects (sim = 0.6211): army, slum # Cluster 445 Predicates: formulate, gather Subjects (sim = 0.4778): about, people, thousand Objects (sim = 0.6298): term, plan # Cluster 449 Predicates: usher, end Subjects (sim = 0.5060): guard, safeguard Objects (sim = 0.5199): today, day # Cluster 436 Predicates: measure, act Subjects (sim = 0.4631): about, people, thousand Objects (sim = 0.2870): more, less, so, much, little # Cluster 419 Predicates: treat, eat Subjects (sim = 0.4923): audience, public, everyone, community, people, population Objects (sim = 0.5395): hundred, people # Cluster 448 Predicates: usher, chair Subjects (sim = 0.5524): Mayor, Chief, director, Director, official, shareholder, chairman, Chairman, delegate, President, Governor, organizer, Fire, representative, president Objects (sim = 0.5044): committee, Government, council, House, Team, Committee, Council, Court # Cluster 424 Predicates: disappoint, beat Subjects (sim = 0.4592): man, player Objects (sim = 0.3246): hundred, people # Cluster 421 Predicates: treat, care Subjects (sim = 0.4702): audience, public, everyone, community, people, population Objects (sim = 0.5492): hundred, people # Cluster 411 Predicates: buy, eat Subjects (sim = 0.4071): about, people, thousand Objects (sim = 0.3392): ticket, book # Cluster 433 Predicates: pass, stick Subjects (sim = 0.4583): student, body Objects (sim = 0.5126): all, out # Cluster 434 Predicates: expect, end Subjects (sim = 0.4952): ship, company Objects (sim = 0.4491): guy, job, thing # Cluster 455 Predicates: outstrip, supply Subjects (sim = 0.5007): Company, plant, supplier, Supply, supply, demand Objects (sim = 0.6176): generation, demand # Cluster 376 Predicates: break, lead Subjects (sim = 0.4745): principal, general, boss, commander, chief, director, officer, chairman, president Objects (sim = 0.4435): defense, team # Cluster 453 Predicates: date, track Subjects (sim = 0.3717): owner, door, schoolteacher, woman, boyfriend, wife, father, husband, girl, body, neighbor, house, life, doctor, mother, himself, caller, marriage, nurse, friend, farmer, man, family, resident Objects (sim = 0.5290): handbag, woman # Cluster 439 Predicates: spot, nab Subjects (sim = 0.2923): about, people, thousand Objects (sim = 0.4677): problem, phenomenon, thing # Cluster 458 Predicates: weigh, light Subjects (sim = 0.5165): scale, step Objects (sim = 1.0000): light, torch # Cluster 452 Predicates: interest, rate Subjects (sim = 0.4794): student, body Objects (sim = 0.5406): performance, sound # Cluster 464 Predicates: trouble, struggle Subjects (sim = 0.5154): fact, nobody Objects (sim = 0.5036): cold, hard # Cluster 459 Predicates: weigh, cast Subjects (sim = 0.5165): scale, step Objects (sim = 0.5286): light, traffic # Cluster 435 Predicates: instruct, teach Subjects (sim = 0.4066): Professor, agent, expert, Law, researcher, student, scientist, university, Scientist, lecturer, historian, Doctor, environmentalist, literature, professor, teacher, organizer, science, analyst, geologist Objects (sim = 0.5434): student, participant # Cluster 462 Predicates: eliminate, avoid Subjects (sim = 0.4489): about, people, thousand Objects (sim = 0.6188): hundred, people # Cluster 440 Predicates: advise, caution Subjects (sim = 0.5335): police, hospital Objects (sim = 0.4321): hundred, people # Cluster 429 Predicates: rock, show Subjects (sim = 0.5076): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6292): evidence, resistance # Cluster 451 Predicates: torture, detain Subjects (sim = 0.5958): man, player Objects (sim = 0.4068): plot, suspect # Cluster 456 Predicates: annoy, chirp Subjects (sim = 0.3428): thing, example Objects (sim = 0.5402): hundred, people # Cluster 470 Predicates: spell, frustrate Subjects (sim = 0.4483): speaker, guest Objects (sim = 0.4666): hundred, people # Cluster 437 Predicates: spot, draw Subjects (sim = 0.3823): about, people, thousand Objects (sim = 0.4670): hundred, people # Cluster 466 Predicates: weigh, eat Subjects (sim = 0.5299): scale, step Objects (sim = 0.5016): light, traffic # Cluster 447 Predicates: console, design Subjects (sim = 0.4072): about, people, thousand Objects (sim = 0.4697): application, project, grant # Cluster 403 Predicates: worry, blame Subjects (sim = 0.4092): about, people, thousand Objects (sim = 0.3622): anyone, person, guy, people # Cluster 414 Predicates: pursue, follow Subjects (sim = 0.3233): study, excavation Objects (sim = 0.4965): trend, pace # Cluster 457 Predicates: detain, investigate Subjects (sim = 0.6493): police, hospital Objects (sim = 0.4234): area, field # Cluster 472 Predicates: console, comfort Subjects (sim = 0.3554): mine, friend Objects (sim = 0.6985): other, present # Cluster 444 Predicates: value, gain Subjects (sim = 0.4962): society, community Objects (sim = 0.5106): education, aid # Cluster 480 Predicates: place, care Subjects (sim = 0.2711): principal, parent, teacher, Parent, child Objects (sim = 0.5499): hundred, people # Cluster 423 Predicates: abandon, own Subjects (sim = 0.4002): family, dinner, house Objects (sim = 0.5445): jewel, property, land, asset # Cluster 415 Predicates: accuse, charge Subjects (sim = 0.3137): about, people, thousand Objects (sim = 0.3302): anyone, person, guy, people # Cluster 363 Predicates: assure, make Subjects (sim = 0.3663): about, people, thousand Objects (sim = 0.3940): back, home # Cluster 482 Predicates: request, aid Subjects (sim = 0.5206): Department, Society Objects (sim = 0.6924): police, court # Cluster 446 Predicates: perform, execute Subjects (sim = 0.3394): militant, group Objects (sim = 0.5994): move, act, action, step # Cluster 474 Predicates: arrive, hail Subjects (sim = 0.4320): other, hand Objects (sim = 0.7287): back, home # Cluster 479 Predicates: flood, blast Subjects (sim = 0.6665): critic, piece Objects (sim = 0.5822): back, home # Cluster 478 Predicates: arrive, visit Subjects (sim = 0.3715): other, hand Objects (sim = 0.7362): back, home # Cluster 481 Predicates: batter, count Subjects (sim = 0.4662): man, player Objects (sim = 0.6153): hundred, people # Cluster 454 Predicates: inhabit, encounter Subjects (sim = 0.5151): about, people, thousand Objects (sim = 0.6179): problem, phenomenon, thing # Cluster 460 Predicates: help, identify Subjects (sim = 0.4410): about, people, thousand Objects (sim = 0.3767): hundred, people # Cluster 432 Predicates: study, work Subjects (sim = 0.5092): student, body Objects (sim = 0.4559): approach, way # Cluster 494 Predicates: generate, flow Subjects (sim = 0.5104): through, round Objects (sim = 0.4940): stream, source # Cluster 488 Predicates: dump, empty Subjects (sim = 0.5141): principal, parent, teacher, Parent, child Objects (sim = 0.4305): bank, Express # Cluster 442 Predicates: own, berate Subjects (sim = 0.4007): family, dinner, house Objects (sim = 0.5450): jewel, property, land, asset # Cluster 450 Predicates: strike, force Subjects (sim = 0.4930): man, player Objects (sim = 0.5011): hundred, people # Cluster 485 Predicates: shame, esteem Subjects (sim = 0.4190): servant, woman, person, man, possessor Objects (sim = 0.3802): other, present # Cluster 441 Predicates: reach, push Subjects (sim = 0.3257): price, temperature, supply Objects (sim = 0.4600): hundred, people # Cluster 491 Predicates: file, discharge Subjects (sim = 0.7124): ship, company Objects (sim = 0.4197): land, water, sea # Cluster 461 Predicates: employ, work Subjects (sim = 0.4007): most, history Objects (sim = 0.4287): approach, way # Cluster 495 Predicates: row, sit Subjects (sim = 0.5250): about, people, thousand Objects (sim = 0.6156): seat, ticket # Cluster 492 Predicates: fulfill, support Subjects (sim = 0.3801): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6688): evidence, resistance # Cluster 468 Predicates: cover, reveal Subjects (sim = 0.5351): hair, everything Objects (sim = 0.5733): evidence, resistance # Cluster 490 Predicates: look, shine Subjects (sim = 0.4394): volume, light, traffic Objects (sim = 0.4786): eye, with, horizon, face, shadow, light # Cluster 473 Predicates: perceive, become Subjects (sim = 0.5328): about, people, thousand Objects (sim = 0.3879): problem, phenomenon, thing # Cluster 497 Predicates: concoct, misappropriate Subjects (sim = 0.5362): man, player Objects (sim = 0.6261): scheme, Government # Cluster 469 Predicates: swarm, scare Subjects (sim = 0.3936): thing, example Objects (sim = 0.5055): anyone, person, guy, people # Cluster 505 Predicates: abandon, relinquish Subjects (sim = 0.5008): about, people, thousand Objects (sim = 0.4576): treatment, training # Cluster 502 Predicates: book, fascinate Subjects (sim = 0.6069): police, officer, guard Objects (sim = 0.4308): guy, MAN, man, Man # Cluster 504 Predicates: console, load Subjects (sim = 0.3708): mine, friend Objects (sim = 0.6708): other, present # Cluster 500 Predicates: reproduce, copy Subjects (sim = 0.8227): Copy, COPY, copy, click Objects (sim = 0.6115): file, object # Cluster 503 Predicates: hatch, devise Subjects (sim = 0.4372): man, player Objects (sim = 0.8356): scheme, plot, project, plan # Cluster 496 Predicates: commend, consider Subjects (sim = 0.4921): about, people, thousand Objects (sim = 0.4646): hundred, people # Cluster 499 Predicates: knock, block Subjects (sim = 0.5983): man, player Objects (sim = 0.3605): himself, kid, guy, man, brother, boy # Cluster 508 Predicates: act, stand Subjects (sim = 0.5085): about, people, thousand Objects (sim = 0.3682): hundred, people # Cluster 493 Predicates: confuse, distinguish Subjects (sim = 0.4626): about, people, thousand Objects (sim = 0.4738): hundred, people # Cluster 510 Predicates: feed, load Subjects (sim = 0.5965): milk, baby Objects (sim = 0.4965): hundred, people # Cluster 475 Predicates: enjoy, live Subjects (sim = 0.4415): about, people, thousand Objects (sim = 0.3269): most, world, major, history # Cluster 463 Predicates: engage, enter Subjects (sim = 0.3816): about, people, thousand Objects (sim = 0.5473): back, home # Cluster 486 Predicates: ransack, strike Subjects (sim = 0.6311): soldier, man Objects (sim = 0.2842): person, reader # Cluster 517 Predicates: strip, drag Subjects (sim = 0.3452): thing, example Objects (sim = 0.4331): other, present # Cluster 476 Predicates: move, push Subjects (sim = 0.4004): price, rating Objects (sim = 0.5674): hundred, people # Cluster 512 Predicates: feed, aid Subjects (sim = 0.5877): milk, baby Objects (sim = 0.5087): hundred, people # Cluster 477 Predicates: file, cite Subjects (sim = 0.3385): officer, employee Objects (sim = 0.6271): reason, evidence # Cluster 467 Predicates: attack, clash Subjects (sim = 0.3769): man, player Objects (sim = 0.5562): anyone, person, guy, people # Cluster 519 Predicates: spook, drag Subjects (sim = 0.4613): failure, example Objects (sim = 0.3772): all, out # Cluster 506 Predicates: include, vary Subjects (sim = 0.5411): result, proof Objects (sim = 0.5335): more, less, so, much, little # Cluster 509 Predicates: usher, enter Subjects (sim = 0.3246): Boy, boy Objects (sim = 0.7280): back, home # Cluster 522 Predicates: sacrifice, surrender Subjects (sim = 0.4412): politician, remark Objects (sim = 0.5337): kidney, blood # Cluster 483 Predicates: shame, condemn Subjects (sim = 0.3559): government, policy Objects (sim = 0.5109): activity, violence # Cluster 484 Predicates: conduct, discipline Subjects (sim = 0.4400): Group, team, group Objects (sim = 0.3810): genetics, research # Cluster 527 Predicates: handle, avoid Subjects (sim = 0.5767): thing, example Objects (sim = 0.6537): hundred, people # Cluster 515 Predicates: pull, dig Subjects (sim = 0.4787): about, people, thousand Objects (sim = 0.4165): all, out # Cluster 524 Predicates: console, immerse Subjects (sim = 0.3621): ticket, book Objects (sim = 0.6734): other, present # Cluster 511 Predicates: feed, live Subjects (sim = 0.4289): family, dinner, house Objects (sim = 0.5292): forest, town, city, housing, property, farm, land, village # Cluster 514 Predicates: monitor, track Subjects (sim = 0.6316): police, hospital Objects (sim = 0.5436): area, field # Cluster 540 Predicates: replace, board Subjects (sim = 0.4852): name, list Objects (sim = 0.5695): bus, ticket # Cluster 521 Predicates: submit, register Subjects (sim = 0.4900): about, people, thousand Objects (sim = 0.3916): price, bid # Cluster 525 Predicates: concoct, mock Subjects (sim = 0.5216): man, player Objects (sim = 0.5626): scheme, Government # Cluster 523 Predicates: console, hatch Subjects (sim = 0.4191): man, player Objects (sim = 0.6330): scheme, plot, project, plan # Cluster 518 Predicates: provide, lack Subjects (sim = 0.4926): school, year Objects (sim = 0.5425): generation, power # Cluster 533 Predicates: die, mourn Subjects (sim = 0.5013): about, people, thousand Objects (sim = 0.3491): starvation, cold # Cluster 507 Predicates: pursue, work Subjects (sim = 0.3640): most, history Objects (sim = 0.5356): approach, way # Cluster 541 Predicates: border, strip Subjects (sim = 0.3230): woman, Man, man, Woman, girl Objects (sim = 0.5053): Baby, Sea # Cluster 542 Predicates: cast, sail Subjects (sim = 0.3589): art, piece Objects (sim = 0.6703): telescope, boat # Cluster 498 Predicates: donate, register Subjects (sim = 0.4779): about, people, thousand Objects (sim = 0.6460): revenue, money, fund, dollar # Cluster 532 Predicates: border, detect Subjects (sim = 0.3838): scientist, alien Objects (sim = 0.4863): change, alteration # Cluster 548 Predicates: file, categorize Subjects (sim = 0.6581): complaint, report Objects (sim = 0.5055): guilty, possession, plea, court, Court # Cluster 529 Predicates: waste, shame Subjects (sim = 0.3522): servant, woman, person, man, possessor Objects (sim = 0.6434): Life, life # Cluster 543 Predicates: spell, form Subjects (sim = 0.5133): speaker, guest Objects (sim = 0.4160): government, agency # Cluster 516 Predicates: fly, strike Subjects (sim = 0.5332): man, player Objects (sim = 0.2981): person, reader # Cluster 535 Predicates: satisfy, supply Subjects (sim = 0.1912): everybody, anybody, sound, kid, another, about, EVERYBODY, ourselves, anything, hard, proof, nobody, so, everything, EVERYONE, hand, all, think, everyone, need, work, more, want, nothing, People, say, Everybody, er, great, people, Him, call, himself, circumstance, person, anyone, wall, thing, twist, much, little Objects (sim = 0.4041): fan, ticket # Cluster 545 Predicates: assure, demonstrate Subjects (sim = 0.4458): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6496): evidence, resistance # Cluster 534 Predicates: desire, lack Subjects (sim = 0.4995): school, year Objects (sim = 0.6192): generation, power # Cluster 537 Predicates: govern, rule Subjects (sim = 0.4898): government, regime Objects (sim = 0.5029): hundred, people # Cluster 471 Predicates: see, hear Subjects (sim = 0.3581): about, people, thousand Objects (sim = 0.5524): hundred, people # Cluster 559 Predicates: calm, disturb Subjects (sim = 0.3970): thing, example Objects (sim = 0.6435): poison, nerve # Cluster 558 Predicates: lift, breathe Subjects (sim = 0.5195): about, people, thousand Objects (sim = 0.5320): breath, sigh, fresh, smell # Cluster 547 Predicates: distinguish, attract Subjects (sim = 0.3539): ticket, book Objects (sim = 0.5756): hundred, people # Cluster 530 Predicates: anticipate, execute Subjects (sim = 0.5939): ship, company Objects (sim = 0.5593): term, plan # Cluster 487 Predicates: stick, follow Subjects (sim = 0.3305): study, excavation Objects (sim = 0.4951): trend, pace # Cluster 553 Predicates: protect, educate Subjects (sim = 0.5393): protection, Protection, safeguard Objects (sim = 0.4657): hundred, people # Cluster 562 Predicates: belong, despise Subjects (sim = 0.3682): church, community Objects (sim = 0.5308): other, present # Cluster 556 Predicates: fluctuate, flow Subjects (sim = 0.7175): price, temperature, supply Objects (sim = 0.6184): more, less, so, much, little # Cluster 528 Predicates: entertain, enjoy Subjects (sim = 0.4110): about, people, thousand Objects (sim = 0.3137): most, world, major, history # Cluster 557 Predicates: frustrate, induce Subjects (sim = 0.4625): animal, drug Objects (sim = 0.5290): change, alteration # Cluster 531 Predicates: slam, push Subjects (sim = 0.3902): critic, piece Objects (sim = 0.6099): hundred, people # Cluster 564 Predicates: bust, cock Subjects (sim = 0.6306): police, burglar, Police, POLICE Objects (sim = 0.3894): hundred, people # Cluster 501 Predicates: rock, hit Subjects (sim = 0.4102): man, player Objects (sim = 0.5079): back, home # Cluster 549 Predicates: confuse, avoid Subjects (sim = 0.4688): about, people, thousand Objects (sim = 0.5763): hundred, people # Cluster 555 Predicates: anticipate, describe Subjects (sim = 0.6570): ship, company Objects (sim = 0.5084): risk, expense, option # Cluster 560 Predicates: impress, spell Subjects (sim = 0.2551): thing, example Objects (sim = 0.4874): mine, friend # Cluster 554 Predicates: plead, speak Subjects (sim = 0.3392): about, people, thousand Objects (sim = 0.5882): pound, little # Cluster 546 Predicates: snatch, draw Subjects (sim = 0.2721): about, people, thousand Objects (sim = 0.5301): hundred, people # Cluster 551 Predicates: fall, bear Subjects (sim = 0.3999): price, rating Objects (sim = 0.6994): more, less, so, much, little # Cluster 526 Predicates: conduct, discharge Subjects (sim = 0.4304): ship, company Objects (sim = 0.3791): genetics, research # Cluster 544 Predicates: explore, illuminate Subjects (sim = 0.5369): volume, light, traffic Objects (sim = 0.4632): horizon, face, smile # Cluster 563 Predicates: host, begin Subjects (sim = 0.4960): tourist, festival Objects (sim = 0.4722): celebration, effort # Cluster 552 Predicates: report, investigate Subjects (sim = 0.5907): police, hospital Objects (sim = 0.3815): area, field # Cluster 582 Predicates: sacrifice, struggle Subjects (sim = 0.5480): about, people, thousand Objects (sim = 0.5249): kidney, blood # Cluster 569 Predicates: esteem, rank Subjects (sim = 0.4267): student, body Objects (sim = 0.6430): school, church # Cluster 581 Predicates: rock, dig Subjects (sim = 0.5335): most, history Objects (sim = 0.5178): world, today # Cluster 579 Predicates: fit, compliment Subjects (sim = 0.6706): most, history Objects (sim = 0.7028): size, design, style # Cluster 539 Predicates: support, push Subjects (sim = 0.2933): about, people, thousand Objects (sim = 0.5470): hundred, people # Cluster 520 Predicates: separate, own Subjects (sim = 0.4007): family, dinner, house Objects (sim = 0.5451): jewel, property, land, asset # Cluster 580 Predicates: stir, pan Subjects (sim = 0.3255): thing, example Objects (sim = 0.5758): hundred, people # Cluster 575 Predicates: stand, fight Subjects (sim = 0.4337): militant, group Objects (sim = 0.6072): cold, hard # Cluster 536 Predicates: count, predict Subjects (sim = 0.4326): expert, protection Objects (sim = 0.4548): horizon, view, be, future, present, outcome # Cluster 573 Predicates: go, look Subjects (sim = 0.4975): about, people, thousand Objects (sim = 0.3388): partner, source # Cluster 593 Predicates: cock, slaughter Subjects (sim = 0.4992): cell, terrorist Objects (sim = 0.4861): hundred, people # Cluster 465 Predicates: have, lack Subjects (sim = 0.3624): country, society, government, public, regime, state Objects (sim = 0.3225): generation, power # Cluster 576 Predicates: console, flash Subjects (sim = 0.5377): volume, light, traffic Objects (sim = 0.5316): other, present # Cluster 583 Predicates: waste, squander Subjects (sim = 0.3980): about, people, thousand Objects (sim = 0.6806): Life, life # Cluster 572 Predicates: assure, protect Subjects (sim = 0.8103): protection, Protection, safeguard Objects (sim = 0.4365): hundred, people # Cluster 577 Predicates: gather, invite Subjects (sim = 0.4592): Department, Society Objects (sim = 0.4289): hundred, people # Cluster 568 Predicates: crush, beat Subjects (sim = 0.4751): man, player Objects (sim = 0.2849): himself, kid, guy, man, brother, boy # Cluster 571 Predicates: track, jump Subjects (sim = 0.3755): sale, cost, productivity, price, currency, value, demand, speed, consumer, buyer Objects (sim = 0.6025): more, less, so, much, little # Cluster 590 Predicates: pin, kick Subjects (sim = 0.6705): man, player Objects (sim = 0.3396): scent, smell, sweet, dog # Cluster 591 Predicates: applaud, cheer Subjects (sim = 0.5067): about, people, thousand Objects (sim = 0.5497): other, present # Cluster 586 Predicates: cast, roll Subjects (sim = 0.3829): art, piece Objects (sim = 0.5608): all, out # Cluster 538 Predicates: apply, get Subjects (sim = 0.4218): about, people, thousand Objects (sim = 0.8110): back, home # Cluster 589 Predicates: swarm, hail Subjects (sim = 0.6191): police, hospital Objects (sim = 0.4575): area, field # Cluster 570 Predicates: head, coach Subjects (sim = 0.4560): leader, winner Objects (sim = 0.4208): committee, agency, organization, group # Cluster 595 Predicates: book, talk Subjects (sim = 0.4466): police, officer, guard Objects (sim = 0.4462): pound, little # Cluster 592 Predicates: pull, pin Subjects (sim = 0.4506): about, people, thousand Objects (sim = 0.4173): all, out # Cluster 567 Predicates: fit, like Subjects (sim = 0.4637): about, people, thousand Objects (sim = 0.4525): anyone, person, guy, people # Cluster 597 Predicates: hail, shine Subjects (sim = 0.5169): volume, light, traffic Objects (sim = 0.5159): eye, with, horizon, face, shadow, light # Cluster 585 Predicates: command, whip Subjects (sim = 0.5170): General, hospital Objects (sim = 0.6456): army, slum # Cluster 588 Predicates: mean, translate Subjects (sim = 0.4523): law, policy Objects (sim = 0.4890): death, body # Cluster 587 Predicates: govern, command Subjects (sim = 0.4787): General, hospital Objects (sim = 0.6137): army, slum # Cluster 513 Predicates: place, lead Subjects (sim = 0.4745): principal, general, boss, commander, chief, director, officer, chairman, president Objects (sim = 0.4401): defense, team # Cluster 598 Predicates: say, hail Subjects (sim = 0.4039): official, source Objects (sim = 0.5400): pound, little # Cluster 565 Predicates: impress, show Subjects (sim = 0.3087): assessment, Survey, study, Report, report, rating, survey, Research, list, research Objects (sim = 0.6065): evidence, resistance # Cluster 561 Predicates: hit, hurt Subjects (sim = 0.4246): man, player Objects (sim = 0.4147): anyone, person, guy, people # Cluster 574 Predicates: charge, count Subjects (sim = 0.3614): man, player Objects (sim = 0.4167): anyone, person, guy, people # Cluster 489 Predicates: make, advance Subjects (sim = 0.3663): about, people, thousand Objects (sim = 0.3940): back, home # Cluster 594 Predicates: satisfy, approve Subjects (sim = 0.5172): ticket, voter Objects (sim = 0.3661): school, church # Cluster 584 Predicates: work, train Subjects (sim = 0.3761): expert, protection Objects (sim = 0.4303): approach, way # Cluster 566 Predicates: load, drive Subjects (sim = 0.4721): about, people, thousand Objects (sim = 0.4777): car, gas # Cluster 550 Predicates: hit, reach Subjects (sim = 0.3569): man, player Objects (sim = 0.5507): back, home # Cluster 599 Predicates: ask, thank Subjects (sim = 0.3673): leader, winner Objects (sim = 0.2962): police, court # Cluster 596 Predicates: perform, live Subjects (sim = 0.3208): about, people, thousand Objects (sim = 0.5661): move, act, action, step # Cluster 578 Predicates: own, hand Subjects (sim = 0.3776): family, dinner, house Objects (sim = 0.5314): jewel, property, land, asset # Cluster 600 Predicates: sweep, run Subjects (sim = 0.4608): government, policy Objects (sim = 0.5261): show, present