chinese word 0.0037038699999999997
word segmentation 0.0028673229999999997
word segmenta 0.0024944249999999998
word order 0.002477727
word seg 0.002471424
imple word 0.002453611
disk word 0.0024512229999999998
chinese information 0.0024426919999999998
chinese language 0.002437634
chinese words 0.002346543
chinese web 0.001873691
modern chinese 0.001773545
relation features 0.001707079
different features 0.001684361
linguistic features 0.001654404
effective feature 0.001623722
tagging system 0.001600813
identification system 0.001570858
feature sets 0.001551535
predefined feature 0.001524779
feature weighting 0.001515851
icf feature 0.001515851
chinese 0.00151275
system development 0.001445622
language processing 0.001437307
specific system 0.001409764
entity relation 0.001403464
system user 0.0014011499999999999
training corpus 0.001399488
system design 0.001381678
application system 0.001378714
system chineris 0.0013785289999999999
different ner 0.001373719
prototype system 0.001373164
system cor 0.0013647709999999999
system imple 0.001361231
computational model 0.001351702
pos tag 0.0013334430000000001
information extraction 0.0013272940000000001
tional model 0.001317309
entity recognition 0.001292895
learning approach 0.001288502
recognition ner 0.001285868
pos tagging 0.001269905
feature 0.00125418
machine learning 0.001244467
language tech 0.00122114
innovative language 0.001204485
entity identification 0.001200883
crucial information 0.001199856
ner identification 0.001193856
language technology 0.0011877909999999999
training set 0.001169216
relation identification 0.001146817
entity relations 0.001140052
trigger words 0.001115202
system 0.00109874
annotation method 0.001097267
special entity 0.001095379
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tion performance 0.0010670879999999999
experimental results 0.001063967
ner candidates 0.001057852
resources lexical 0.001055201
model 0.0010424
ication performance 0.001038476
latter nes 0.001035984
former nes 0.001035984
features 0.00103238
first stage 0.00102275
identification error 0.001014018
first experiment 0.0010086750000000001
entity constructions 9.97538E-4
ner ident 9.96221E-4
ner identi 9.83714E-4
ner identifica 9.8192E-4
different errors 9.79195E-4
first component 9.692380000000001E-4
effective rules 9.59131E-4
linguistic structures 9.579020000000001E-4
character set 9.557210000000001E-4
lexical sports 9.529009999999999E-4
team name 9.47959E-4
processing sequence 9.38887E-4
relation identifi 9.35298E-4
relation identitfication 9.35298E-4
semantic relationships 9.3085E-4
special recognition 9.307440000000001E-4
information 9.29942E-4
lexical ontology 9.282209999999999E-4
repair rules 9.27984E-4
language 9.24884E-4
tion rules 9.235409999999999E-4
first compo 9.20039E-4
different ners 9.136140000000001E-4
linguistic levels 9.04876E-4
context constraints 9.00579E-4
constraint symbols 8.9079E-4
sports domain 8.855930000000001E-4
context con 8.806459999999999E-4
