term ambiguity 0.0034879919999999997
term final 0.00326509
term sets 0.0032596409999999998
tweet term 0.003179706
term category 0.003145095
category term 0.003145095
initial term 0.003129164
term ambigu 0.003114297
target word 0.002237251
common word 0.002134547
topic domain 0.00206091
word sense 0.002051365
word usage 0.002041065
general word 0.001961725
word ambigu 0.0019133169999999999
information extraction 0.00188296
domain ambiguity 0.001863712
information retrieval 0.001712084
ambiguous terms 0.0016829459999999998
unambiguous terms 0.001681511
contextual information 0.001649318
initial terms 0.0016249139999999999
terms call 0.0016114979999999998
polysemous terms 0.001606533
topical domain 0.001559288
given domain 0.0014876350000000002
source language 0.001484066
translation systems 0.001439294
machine translation 0.001364926
information 0.00135471
single topic 0.001339007
terms 0.00133439
many words 0.001331423
data set 0.0013050520000000001
combined model 0.0012666069999999999
test data 0.001263445
other ambiguity 0.00125565
ambiguity detection 0.001251804
corresponding topic 0.001246818
domain 0.00121436
modeling method 0.001200476
ontology method 0.001189927
topic mod 0.001179912
large data 0.001175066
committee method 0.001170165
many nlp 0.001166177
extraction system 0.001163028
weighted words 0.001161193
twitter corpus 0.001161145
high performance 0.001153789
topic modeling 0.001151041
data sets 0.001127769
different modules 0.001123973
quent words 0.001121641
several nlp 0.001102
nlp tasks 0.0010835039999999999
final system 0.001061228
detection framework 0.001044302
annotated data 0.00103453
first module 0.001033906
ambiguity problem 0.001030167
ambiguity resolution 0.0010202599999999998
performance increases 0.0010200959999999999
tial performance 0.00101986
translation 0.00101527
poor performance 0.001007678
other tasks 0.001007129
twitter data 0.001005399
large text 0.0010026610000000002
initial data 9.972919999999999E-4
practical ambiguity 9.924E-4
model 9.89371E-4
detection problem 9.83267E-4
data assumptions 9.79607E-4
nlp applications 9.761889999999999E-4
general ambiguity 9.73417E-4
tion task 9.72203E-4
ambiguity prob 9.711489999999999E-4
other cases 9.66184E-4
ambiguity judgments 9.62751E-4
other modules 9.36038E-4
ambiguity detec 9.30477E-4
detection determination 9.287879999999999E-4
document collection 9.27914E-4
detection prob 9.24249E-4
clustering methods 9.21371E-4
wsi methods 9.21343E-4
language 9.11426E-4
single sense 9.06162E-4
second module 9.016720000000001E-4
common phrase 8.99569E-4
method 8.95985E-4
experimental evaluation 8.91561E-4
induction task 8.89857E-4
disambiguation page 8.87657E-4
disambiguation pages 8.86225E-4
ity detection 8.832339999999999E-4
detection pipeline 8.75834E-4
hybrid approach 8.75624E-4
text collection 8.75324E-4
