dependency parsing 0.0037905400000000002
dependency parser 0.0033572999999999997
dependency length 0.0029592209999999997
dependency parsers 0.002953535
statistical dependency 0.002750962
dependency relationships 0.002536393
long dependency 0.002535736
dependency pars 0.002524434
dependency relation 0.002524367
tistical dependency 0.002506632
dependency 0.00224151
baseline features 0.0021303570000000003
different feature 0.0020939590000000003
preference features 0.001938503
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data set 0.0018928740000000001
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pendency parsing 0.0018459650000000002
scale data 0.0017856340000000001
representative data 0.001758197
assistant data 0.001758197
baseline feature 0.001755347
word pair 0.001640694
feature set 0.001633824
features 0.00161402
feature functions 0.001584058
parsing 0.00154903
feature sets 0.001538459
word forms 0.0015020950000000002
parse tree 0.0014156350000000002
discriminative parser 0.0014147819999999998
optimization algorithm 0.00138091
model 0.00135621
feature 0.00123901
statistical parsers 0.001221477
different granularity 0.001117654
parser 0.00111579
learning methods 0.001112977
domain depen 0.001077029
previous work 0.001045668
large coverage 0.00104491
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resources length 0.001026349
algorithm 0.00101001
pendency parsers 0.0010089600000000002
length increases 0.001007572
training 9.96566E-4
good results 9.771060000000002E-4
robust performance 9.71556E-4
projective parse 9.70985E-4
domain adaptation 9.558489999999999E-4
particular sentence 9.355189999999999E-4
overall performance 9.30543E-4
specific words 9.18659E-4
domain testing 9.13171E-4
penn treebank 9.07185E-4
english penn 8.998579999999999E-4
brown corpus 8.68251E-4
previous studies 8.68061E-4
partition function 8.6074E-4
models 8.58899E-4
novel approach 8.565479999999999E-4
tive function 8.56451E-4
scale corpus 8.350510000000001E-4
wsj text 8.15884E-4
new domains 8.080450000000001E-4
information source 8.001940000000001E-4
related work 7.888740000000001E-4
cluster method 7.861490000000001E-4
long dependencies 7.650160000000001E-4
optimization techniques 7.57799E-4
cent dependencies 7.56137E-4
selectional preference 7.31401E-4
lexical statistics 7.302809999999999E-4
lexical intermediaries 7.19193E-4
modifier parts 7.178589999999999E-4
length 7.17711E-4
learning 7.1615E-4
parsers 7.12025E-4
building depen 7.10154E-4
additional informa 7.08986E-4
internal depen 7.06885E-4
experimental evaluation 7.053809999999999E-4
extra resources 7.006E-4
pair acquisition 6.983639999999999E-4
selectional preferences 6.93326E-4
ditional distribution 6.929449999999999E-4
web texts 6.79832E-4
wide interest 6.78037E-4
level relationships 6.76589E-4
brief introduction 6.72001E-4
sibling parts 6.701999999999999E-4
selectional pref 6.698769999999999E-4
results 6.63108E-4
effective optimization 6.59118E-4
dual exponenti 6.50753E-4
performance 6.49233E-4
annotated corpora 6.43558E-4
ated gradient 6.420040000000001E-4
