same corpus 0.001809878
english language 0.001581694
candidate nes 0.001557824
largest corpus 0.001410223
corpus size 0.001399342
corpus harvesting 0.001364751
corpus resources 0.00135704
common words 0.001336624
brown corpus 0.001334823
following nes 0.001328817
first name 0.001307353
other names 0.00129729
web corpora 0.0012091139999999998
web pages 0.001171332
ing candidate 0.001169535
nes figure 0.0011662769999999999
first names 0.001162659
web page 0.001156252
science information 0.001142763
full name 0.001129046
language engineering 0.00110561
machine learning 0.001102098
name lewis 0.00109609
independent nes 0.001095198
specific type 0.001087652
corpus 0.00108637
common candidates 0.001085526
information publicauons 0.001079763
information center 0.001079763
search string 0.001072506
accessible web 0.001061272
incorrect nes 0.001055563
unrelated words 0.001054291
name goffman 0.0010527610000000001
tual name 0.0010527610000000001
productive nes 0.001046973
organization names 0.001040197
other ones 0.001038252
search engine 0.001035993
typed nes 0.001035271
recognition task 0.001013106
list parser 0.001004815
such authors 9.98695E-4
phrase search 9.95325E-4
string list 9.94827E-4
such lists 9.87134E-4
guistic features 9.86223E-4
muc type 9.792870000000001E-4
same yield 9.74064E-4
textual data 9.720060000000001E-4
other types 9.66515E-4
possible abbre 9.59522E-4
possible extension 9.59522E-4
ions data 9.56393E-4
different figures 9.53972E-4
partial names 9.49287E-4
international organizations 9.47507E-4
different sets 9.42563E-4
different modes 9.34613E-4
different ypes 9.34613E-4
different capabili 9.34613E-4
total candidates 9.2643E-4
online data 9.22848E-4
search engines 9.21233E-4
wrong type 9.167909999999999E-4
international organization 9.11374E-4
type ambiguity 9.103E-4
botanic names 9.07296E-4
finer search 9.05337E-4
list parsers 9.02166E-4
lexical acquisition 8.915519999999999E-4
pattern list 8.69577E-4
language 8.55498E-4
international bank 8.52812E-4
large corpora 8.51613E-4
html documents 8.43486E-4
lexical means 8.43098E-4
lexical resources 8.412129999999999E-4
poor performance 8.3687E-4
query string 8.35077E-4
tern list 8.33774E-4
first collection 8.330869999999999E-4
cue list 8.322469999999999E-4
unrelated list 8.31243E-4
long list 8.30587E-4
information 8.28703E-4
stop list 8.272819999999999E-4
lexical cue 8.24134E-4
lexical indices 8.24125E-4
lexical ele 8.2153E-4
lexical cues 8.2153E-4
tagging task 8.206730000000001E-4
common hypernym 8.18865E-4
international agencies 8.02905E-4
large number 8.023139999999999E-4
words 8.01704E-4
international companies 7.9542E-4
knowledge acquisition 7.929079999999999E-4
second case 7.91547E-4
linguistic patterns 7.88415E-4
