word sense 0.004384922
word frequency 0.004272276
word class 0.00424405
particular word 0.004162369
word pair 0.004117249
word type 0.004090744
word classes 0.004059918
middle word 0.004051385
ambiguous word 0.0040423230000000004
word link 0.004029345
word british 0.004008454
word types 0.0040079370000000005
word brief 0.003998752
cular word 0.003987692
biguous word 0.003987692
clustering words 0.0025605090000000003
middle words 0.0024050350000000002
ambiguous words 0.002395973
unambiguous words 0.0023639100000000003
words finance 0.0023437170000000004
sify words 0.002341159
words 0.00208973
corpus noun 0.001853709
text corpus 0.0016364180000000002
large corpus 0.0015780300000000002
context vectors 0.00143807
distributional method 0.001387412
pos vectors 0.001379924
other clusters 0.0013754779999999999
national corpus 0.0013690590000000002
morphological information 0.001359364
brown corpus 0.001342106
full corpus 0.0013277520000000002
local context 0.001325369
corpus simulation 0.0013176870000000001
corpus occurrences 0.001313491
different parts 0.001254917
noun verb 0.0012517589999999999
pos induction 0.001229525
appropriate context 0.001218488
pos frequencies 0.0011626240000000001
context width 0.001155405
proper noun 0.001147536
several clusters 0.001129724
large text 0.001114788
such neighbors 0.001102083
likely pos 0.001096256
statistical approach 0.001083131
other cases 0.00106659
corpus 0.00104983
sense induction 0.001033644
row vector 0.001030095
matrix columns 0.001030086
similarity measure 0.0010024440000000001
many questions 9.97678E-4
neighbor pairs 9.77285E-4
test vocabulary 9.759039999999999E-4
clustering algorithm 9.597410000000001E-4
semantic reasons 9.37193E-4
form rains 9.362169999999999E-4
inflected form 9.362169999999999E-4
same part 9.32504E-4
single cluster 9.21023E-4
singular value 9.20481E-4
way ambiguity 9.19261E-4
respective cluster 9.15505E-4
context 9.02869E-4
approach let 8.9383E-4
appropriate clusters 8.90472E-4
correct class 8.880329999999999E-4
previous work 8.84516E-4
cluster centroids 8.83319E-4
value decomposition 8.667530000000001E-4
particular part 8.56643E-4
local contexts 8.54805E-4
association measure 8.43133E-4
way neighbor 8.423E-4
first glance 8.39507E-4
column vectors 8.32251E-4
future work 8.28795E-4
centroid vectors 8.19973E-4
several reasons 8.18844E-4
data sparseness 8.15555E-4
previous section 8.08363E-4
same left 7.98582E-4
ambiguity problem 7.93904E-4
similar pattern 7.914290000000001E-4
umn vectors 7.884420000000001E-4
large variation 7.816400000000001E-4
human performance 7.80673E-4
objective measure 7.787580000000001E-4
contexts neighbor 7.65352E-4
ambiguity detection 7.52259E-4
centroid values 7.50322E-4
particular choice 7.35723E-4
matrix 7.32955E-4
ambiguity reduction 7.302809999999999E-4
simultaneous clustering 7.24312E-4
human intuition 7.22482E-4
previous study 7.209930000000001E-4
