word similarity 0.00488008
word vector 0.004716499
word sense 0.004573397
word vectors 0.00437377
lsa word 0.004356052
same word 0.0043410079999999995
word thesaurus 0.004280228
word senses 0.004271083
word level 0.004266845
similar word 0.004252667999999999
target word 0.0041599539999999996
word categories 0.004141399
word representations 0.0041403049999999995
last word 0.004117552
unknown word 0.004099198
word vec 0.004084729
word coverage 0.004083867
times word 0.004059637
word vocab 0.004055368
matched word 0.004054877
compound word 0.004052236
word lev 0.004052236
other words 0.00304265
such words 0.002900079
words lsa 0.0027453720000000003
same words 0.002730328
thesaurus words 0.002669548
similar words 0.002641988
opposite words 0.002639631
multiple words 0.002593124
new words 0.002573473
related words 0.002528729
columns words 0.00251703
unknown words 0.002488518
choice words 0.0024865
contrasting words 0.0024594120000000002
synonymous words 0.00245057
antonymous words 0.002445379
nearby words 0.002444355
matched words 0.002444197
mous words 0.0024435530000000002
offensive words 0.002441863
near words 0.002441863
words 0.00222024
space model 0.001849153
context vector 0.001665668
vector space 0.001613252
context space 0.001507762
model form 0.001503483
pilsa model 0.001412223
cosine similarity 0.001397204
similarity questions 0.0013812669999999998
similarity scores 0.001381266
distributional similarity 0.001373211
similarity score 0.001373202
corpus space 0.001369951
initial model 0.00135175
original matrix 0.0013492500000000002
model perfor 0.00134791
other pairs 0.001341292
space models 0.001339179
similarity metric 0.001330057
context vectors 0.001322939
projection matrix 0.0013169750000000002
different training 0.001310083
jection matrix 0.0013064720000000001
lsa context 0.001305221
diagonal matrix 0.001304838
learning method 0.001302427
inal matrix 0.001291412
other methods 0.001289174
sine similarity 0.0012768179999999999
pairwise similarity 0.001270623
butional similarity 0.001270623
different thesaurus 0.001260473
text corpus 0.001246897
new vector 0.0012388120000000002
semantic analysis 0.001206716
novel method 0.00120191
vector representation 0.001200195
dimensional vector 0.001197575
vector representations 0.0011949640000000002
input vector 0.0011913420000000002
method increases 0.001184358
output vector 0.001177674
thesaurus space 0.001176981
pilsa vector 0.001176322
proposed method 0.0011686
text data 0.001124893
model 0.00112148
other collection 0.001121115
concept vector 0.0011191550000000001
vector rep 0.0011145360000000002
other forms 0.001109789
umn vector 0.001106926
latent semantic 0.001105995
other approaches 0.001092904
lsa approach 0.0010888059999999999
different antonyms 0.001080037
raw context 0.00107716
