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parser state 0.002825299
parsing accuracy 0.0024283100000000004
parser language 0.002400316
chinese parsing 0.002385101
structure parsing 0.0023041570000000003
type parser 0.002276109
dependency parsers 0.0022752090000000003
baseline parser 0.002271098
parsing process 0.002260931
final parser 0.002241549
final parsing 0.002220339
parsing accuracies 0.0022150250000000002
model features 0.002198046
local parsing 0.002190544
extended parser 0.0021889939999999997
constituent parsing 0.002187764
chart parser 0.00218089
level parser 0.002173558
input word 0.002169143
parser perfor 0.002157789
supervised parser 0.00213685
parser accu 0.00212197
berkeley parser 0.002121735
dency parsing 0.002111244
stituent parsing 0.002101179
chinese word 0.0020521510000000003
lexical dependency 0.00204625
dependency information 0.001966914
word cluster 0.001952923
dependency language 0.0019483859999999999
word segmentation 0.0019344240000000001
dependency trees 0.001899384
state item 0.001896871
word clustering 0.001893223
clustering word 0.001893223
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parser 0.00185233
parsing 0.00183112
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dependency relations 0.001815096
word numbers 0.001806393
front word 0.001796993
word clusters 0.001789444
word com 0.001789145
corresponding dependency 0.001757756
baseline features 0.0017300280000000002
training data 0.001725299
dependency grammars 0.001722923
dependency lists 0.0016763519999999999
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different sentence 0.0016205149999999999
context features 0.001617467
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feature vector 0.0016070949999999998
data set 0.001600604
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chinese data 0.0015909210000000001
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features blml 0.001574712
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large data 0.001566698
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feature templates 0.001532135
input words 0.001505153
unlabeled data 0.0014781490000000002
feature vectors 0.001477309
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feature vec 0.0014668119999999998
english data 0.001456566
different phrase 0.001439498
different candidate 0.001438366
language model 0.001434772
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queue item 0.001400695
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different lengths 0.0013879489999999999
data this 0.0013836340000000001
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development data 0.00136727
data sets 0.001365305
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chinese pos 0.0013508930000000001
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ctb data 0.001339787
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chinese results 0.0013264940000000001
experimental data 0.001322153
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features 0.00131126
different hardware 0.0013089949999999999
perceptron algorithm 0.001305659
clustering algorithm 0.001304177
notated data 0.001300981
data statistics 0.0013002040000000001
