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word sense 0.0027032799999999997
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seed word 0.002636049
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vehicle words 0.002620028
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appropriate words 0.0026067110000000003
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action words 0.002561563
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polysemous words 0.002520604
inappropriate words 0.0025200400000000003
extraneous words 0.002516056
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word list 0.002279719
words 0.00227923
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semantic lexicon 0.00224771
next word 0.0022054600000000002
word lists 0.002198065
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single word 0.002163778
word definitions 0.002148754
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semantic knowledge 0.0020821240000000003
semantic dictionary 0.001970508
semantic lexicons 0.00194695
semantic classes 0.001910798
semantic lasses 0.001906043
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category context 0.001587874
text corpus 0.001578581
category score 0.001571586
energy category 0.0015337509999999999
target category 0.001514668
vehicle category 0.001509238
candidate category 0.001504974
appropriate category 0.0014959209999999999
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category members 0.001477527
good category 0.001466085
location category 0.001464492
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commercial category 0.001446669
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category membership 0.001418751
category member 0.001415662
military category 0.001411152
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category ani 0.001405579
category judgements 0.001405579
person category 0.001405579
corpus frequency 0.0013438080000000002
category 0.00116844
development corpus 0.001156345
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sense disambiguation 0.001117368
new seed 0.001102194
large text 0.001098251
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useful categories 0.001053379
first noun 0.001053222
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text processing 0.00103457
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lexical knowledge 0.001020094
different contexts 0.0010182049999999999
initial seed 9.99359E-4
other approaches 9.93582E-4
ferent seed 9.881220000000001E-4
same problem 9.78417E-4
other types 9.72605E-4
other researchers 9.68783E-4
raw text 9.522339999999999E-4
energy results 9.47333E-4
different numbers 9.40031E-4
representative text 9.33346E-4
mantic lexicon 9.30337E-4
different degrees 9.252919999999999E-4
language processing 9.23098E-4
vehicle results 9.2282E-4
