word sense 0.003330866
medical word 0.002935867
target word 0.002836342
context features 0.0027330799999999997
word expressions 0.002669436
right word 0.002602164
other feature 0.00225647
different context 0.002127258
domain system 0.0020496079999999996
same features 0.002029607
unsupervised features 0.0020240419999999998
feature types 0.002013197
such features 0.001997503
additional features 0.001960216
important feature 0.0019537829999999997
feature generation 0.001914463
individual feature 0.001894851
target words 0.001891232
feature group 0.001890611
next features 0.001881207
use features 0.001869622
medical domain 0.001862997
domain text 0.001861193
third feature 0.001856313
similar words 0.0018554
feature groups 0.0018550939999999998
feature gen 0.0018519
other context 0.00184033
single words 0.00183967
prominent features 0.001805386
delexicalized features 0.001805386
icalized features 0.001805386
same context 0.001659027
right words 0.001657054
boring words 0.001642236
feature 0.00159739
general domain 0.0015766419999999998
features 0.00155183
context fea 0.001546476
domain resource 0.0015426799999999998
present context 0.001521648
open domain 0.0015206109999999998
context sentence 0.001515226
domain experts 0.0015124739999999998
lexical substitution 0.001510608
medical corpus 0.0014801710000000002
language system 0.001444102
entailment task 0.00139544
medical data 0.0013916290000000001
substitution task 0.0013908330000000002
text data 0.001389825
words 0.00138702
text similarity 0.0013573
substitution system 0.001305236
baseline system 0.001304446
substitution data 0.00130278
sense disambiguation 0.0012783640000000001
tion task 0.001267006
different domains 0.001266781
domain 0.00125926
medical language 0.001257491
annotation task 0.001255863
lexical substitu 0.001249633
different dts 0.0012376940000000001
different meanings 0.001201365
context 0.00118125
system map 0.001148372
semantic text 0.001131171
clear task 0.001130772
target term 0.001111779
data sets 0.0010948239999999999
input data 0.001086011
entailment relation 0.001022179
tion test 0.001018035
sense 9.98736E-4
equal results 9.95793E-4
new dataset 9.90392E-4
mutual information 9.82444E-4
same target 9.81989E-4
unsupervised method 9.81221E-4
hybrid approach 9.69323E-4
gold standard 9.3859E-4
first substitute 9.38075E-4
substitution candidates 9.27539E-4
term nail 9.27202E-4
other hand 9.228190000000001E-4
same score 9.15576E-4
ing entailment 9.123530000000001E-4
single classifier 9.07131E-4
significance measure 9.03458E-4
substitution dataset 9.01422E-4
same google 8.894409999999999E-4
target terms 8.83478E-4
substitution candidate 8.8294E-4
relevant term 8.82393E-4
permutation test 8.81726E-4
error class 8.78494E-4
corpus 8.76434E-4
possible substitutes 8.74064E-4
unified medical 8.73303E-4
