Goal (Shoot_projectiles)
Stats
- Average : 0.562938
- Std dev. : 0.0467866
- Min : 0.516151
- Max : 0.743343
- FEs : 4
Descriptors
Too few elements
Legend = verbs; nouns; adjectives; proper noun; french
- truck 0.743343
- guard 0.659701
- german 0.657786
- van 0.657777
- jeep 0.654476
- lorry 0.649458
- soldier 0.642620
- tactic 0.639539
- korean 0.638508
- kerb 0.628489
- gun 0.621780
- dismount 0.620108
- protester 0.619316
- french 0.614371
- rover 0.611553
- demonstrator 0.606646
- ambush 0.605529
- force 0.604278
- paratrooper 0.599906
- car 0.599227
- mob 0.597144
- fleet 0.596109
- bicycle 0.592788
- attack 0.590431
- roadblock 0.590166
- derail 0.584024
- vehicle 0.583732
- shotgun 0.583302
- motor 0.574961
- ford 0.571305
- algerian 0.571045
- hooter 0.570595
- horse 0.570410
- stop 0.568603
- chain 0.568157
- boulogne 0.567106
- baton 0.567091
- policeman 0.564096
- enemy 0.561337
- barricade 0.560211
- rifle 0.560015
- army 0.559063
- axe 0.557938
- undercover 0.557657
- troop 0.556626
- disarm 0.556527
- horn 0.555300
- stick 0.553420
- frigate 0.553254
- germans 0.549692
- aggressive 0.547382
- plane 0.546437
- ambush 0.545596
- toyota 0.545468
- gangue 0.544841
- militant 0.543803
- russian 0.543707
- japanese 0.542878
- oncoming 0.542704
- hanger 0.541026
- attempt 0.540603
- spanish 0.540212
- cart 0.539898
- belgian 0.539686
- boot 0.539468
rpoff 0.537331
- hijacker 0.537210
- rebel 0.536415
- cordon 0.535761
- stance 0.535476
- attacker 0.535233
- dutch 0.534626
- commando 0.534559
- infantry 0.530876
- unarm 0.529981
- gunman 0.529703
- firing 0.527581
- peshawar 0.527157
- retaliate 0.526651
- cartel 0.525107
- israeli 0.524049
- hunter 0.523954
- resist 0.523109
- aircraft 0.522268
- flagstone 0.522206
- swedish 0.521206
- fiesta 0.521079
- motorcycle 0.520860
- escort 0.520777
- armoured 0.520350
- attempt 0.520201
- sledge 0.519132
- thai 0.519049
- battleship 0.518535
- boat 0.518526
- chiang 0.518377
- direction 0.516853
- polish 0.516788
- cadillac 0.516398
- rider 0.516151
at your boots.
into pigs.
at demonstrators.
in the direction of the German positions.
NNboot
NNpig
NNdemonstrator
NNdirection
JJGerman
NNposition
Cluster #0 : 1 instances
Cluster #1 : 1 instances
Cluster #2 : 1 instances
Cluster #3 : 1 instances
Cluster #4 : 1 instances
Cluster #5 : 1 instances
Cluster #0 1 instances
- boot 1.000000
- shoe 0.875858
- jacket 0.765905
- leather 0.756874
- bonnet 0.754086
- trouser 0.751962
- belt 0.734752
- gear 0.722114
- hat 0.710086
- coat 0.701704
- pant 0.697331
- tracksuit 0.688422
- jean 0.685757
- shirt 0.675220
- tyre 0.673067
- glove 0.670299
- helmet 0.668161
- hood 0.665336
- paint 0.664572
- car 0.663426
- sandalwood 0.661544
- bike 0.661506
- smart 0.659670
- fiesta 0.658605
- denim 0.656124
- clothe 0.655794
- wear 0.654962
- anorak 0.648639
- sweater 0.647718
- straw 0.647142
- sack 0.647069
- short 0.646683
- rubber 0.645791
- bicycle 0.645138
- loafer 0.644749
- suit 0.643751
- raincoat 0.640786
- collar 0.637985
- uniform 0.637146
- outsize 0.636742
- clothing 0.633817
- torpedo 0.633256
- driver 0.632254
- van 0.631276
- kerb 0.631187
- jumper 0.630698
- lightweight 0.630226
- sheepskin 0.630168
- sock 0.626332
- petticoat 0.625659
- toy 0.623001
- fender 0.621607
- calico 0.620587
- dress 0.620211
- truck 0.619620
- fastening 0.618262
- ford 0.617920
- wheel 0.616943
- balaclava 0.615832
- tartan 0.614007
- sunglasses 0.611277
- motorbike 0.611151
- motorcycle 0.607846
- chrome 0.607088
- sleek 0.606888
- quilt 0.606378
- gown 0.605329
- tractor 0.603919
- polished 0.602745
- nylon 0.602465
- kimono 0.599989
- rover 0.599258
- overcoat 0.598719
- stocking 0.598634
- escort 0.598178
- saloon 0.597334
- brake 0.596114
- dress 0.594458
- racket 0.594105
- tweed 0.594051
- dominique 0.593918
- jersey 0.592264
- sash 0.592024
- scarf 0.591285
- petrol 0.588300
- suede 0.587263
- skirt 0.587152
- lace 0.586281
- wheel 0.585182
- oversized 0.584089
- beret 0.583808
- cape 0.582578
- waistcoat 0.582529
- wear 0.581960
- beige 0.581593
- chunky 0.580993
- mower 0.580248
- cap 0.578259
- breast 0.577970
- skid 0.577566
Cluster #1 1 instances
- pig 1.000000
- cow 0.822610
- sheep 0.809521
- goat 0.786247
- rabbit 0.772405
- ant 0.760654
- cat 0.757959
- otter 0.726093
- pet 0.722309
- fish 0.705076
- frog 0.699747
- hen 0.697345
- worm 0.695541
- livestock 0.694368
- litter 0.690792
- pet 0.690243
- cassava 0.689421
- fatten 0.688347
- cattle 0.684638
- apple 0.683817
- maize 0.682531
- dog 0.682195
- shrimp 0.681841
- insecticide 0.680882
- peat 0.670494
- dolphin 0.669530
- crop 0.668851
- cabbage 0.666634
- snail 0.665834
- coconut 0.662660
- goose 0.659468
- weed 0.659090
- farmer 0.656914
- zinc 0.654160
- plankton 0.653817
- substandard 0.652978
- cereal 0.650346
- solvent 0.649306
- lamb 0.648294
- tuna 0.646918
- soya 0.646234
- plant 0.644947
- carcass 0.643849
- toad 0.643238
- hedgehog 0.642551
- mate 0.638800
- nut 0.638794
- potato 0.638092
- herd 0.634672
- gourami 0.632815
- pigeon 0.632547
- edible 0.631959
- fungus 0.630771
- piglet 0.630600
- farm 0.630014
- lime 0.628859
- ethylene 0.628200
- koi 0.627689
- invertebrate 0.626571
- elephant 0.625499
- egg 0.623417
- animal 0.623114
- poach 0.621954
- pesticide 0.621713
- milk 0.619295
- seed 0.617880
- dairy 0.617526
- eel 0.617104
- caterpillar 0.616506
- waterlilies 0.615537
- acidify 0.614513
- chicken 0.614206
- kitten 0.611599
- lobster 0.611214
- vegetable 0.610690
- deer 0.609598
- farm 0.607658
- lubricant 0.607510
- species 0.607417
- compost 0.607188
- monkey 0.606697
- muck 0.605914
- milk 0.605633
- mash 0.605460
- cress 0.604911
- dwarf 0.604891
- wheat 0.604019
- salmon 0.603737
- vole 0.603606
- hamster 0.603053
- pelagic 0.602329
- breed 0.601964
- poultry 0.601910
- slug 0.601578
- pest 0.601428
- manure 0.600394
- porpoise 0.600233
- mulch 0.599434
- pea 0.598647
- sniff 0.598529
Cluster #2 1 instances
- demonstrator 1.000000
- protester 0.926228
- militant 0.851336
- arrest 0.833597
- paramilitary 0.824840
- sendero 0.815200
- guerrilla 0.814885
- ltte 0.803659
- arrest 0.796918
- commando 0.796218
- medell 0.795602
- killing 0.786752
- crackdown 0.785791
- demonstration 0.783949
- kidnapping 0.781016
- terrorist 0.780841
- shooting 0.777306
- barricade 0.773319
- gunman 0.769963
- civilian 0.769913
- hanger 0.765644
- tamil 0.761517
- rioting 0.759944
- libyan 0.756448
- cordon 0.755658
- rebel 0.753918
- israeli 0.752095
- protest 0.751843
- protestor 0.751424
- scuffle 0.748350
- somali 0.745309
- rebel 0.744798
- algiers 0.744199
- raid 0.740536
- lebanese 0.737767
- ethiopian 0.732743
- looting 0.731670
- basra 0.730809
- riot 0.730795
- ambush 0.729960
- fighting 0.729458
- uzbek 0.728707
- kabul 0.727754
- loyalist 0.726681
- jna 0.724706
- eta 0.724436
- separatist 0.723975
- militiaman 0.723029
- hezbollah 0.722533
- ambush 0.722478
- gangue 0.721150
- hijack 0.720900
- militia 0.719864
- kinshasa 0.719694
- undercover 0.719445
- mujaheddin 0.716425
- massacre 0.715691
- mob 0.715279
- bihar 0.713801
- fmln 0.713376
- juba 0.711932
- spla 0.710994
- eprdf 0.710797
- stone 0.710742
- npfl 0.708679
- serb 0.708613
- croatian 0.708428
- racketeering 0.705099
- patrol 0.702626
- luminoso 0.701809
- picket 0.701657
- thai 0.701430
- detainee 0.701138
- gestapo 0.700724
- rioter 0.699549
- blackshirt 0.699462
- unprovoked 0.698344
- peshawar 0.696700
- jammu 0.696066
- anatolia 0.694502
- rouge 0.692104
- reprisal 0.691558
- ayodhya 0.691374
- kompong 0.691086
- insurgent 0.691015
- peking 0.688548
- kurdish 0.687722
- atrocity 0.687411
- ciskei 0.687171
- uprising 0.685912
- gunfire 0.685787
- fundamentalist 0.683816
- chiang 0.683373
- mogadishu 0.682420
- cong 0.682209
- armed 0.681860
- wounded 0.680588
- ira 0.680116
- gunshot 0.679374
- serbian 0.679158
Cluster #3 1 instances
- direction 1.000000
- way 0.687790
- line 0.665231
- bend 0.661234
- zigzag 0.651287
- trajectory 0.636098
- junction 0.626161
Cluster #4 1 instances
- german 1.000000
- french 0.933353
- russian 0.898770
- spanish 0.877304
- korean 0.837211
- italian 0.798703
- polish 0.781716
- chinese 0.767338
- american 0.766814
- dutch 0.757388
- foreign 0.745950
- diplomat 0.742386
- soviet 0.720112
- belgian 0.718914
- military 0.713720
- japanese 0.712806
- indian 0.699644
- turkish 0.696785
- expeditionary 0.686471
- iranian 0.680260
- israeli 0.677980
- german 0.671297
- french 0.671138
- austrian 0.664965
- troop 0.664106
- army 0.657077
- syrian 0.653870
- czechoslovak 0.652241
- african 0.647019
- latin 0.646942
- iran 0.643051
- argentinian 0.640641
- legation 0.639980
- egyptian 0.638332
- cuban 0.638193
- swedish 0.634884
- panamanian 0.633255
- iraqi 0.633136
- greek 0.631998
- algerian 0.631276
- naval 0.630677
- british 0.626782
- soldier 0.624082
Cluster #5 1 instances