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tree node 0.002683328
tree path 0.0025426090000000004
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training parse 0.002397287
parse trees 0.0022806
tree paths 0.002277454
penn tree 0.002261253
different parse 0.002213465
dependency parse 0.00215909
relation information 0.002143047
second parse 0.001945951
paths parse 0.001890264
alternative parse 0.001879586
example parse 0.001844526
accurate parse 0.001824413
frequent parse 0.001812513
overlapping parse 0.001812174
syntactic parsing 0.001801727
node information 0.0016819650000000001
path features 0.001585999
parse 0.00157796
path feature 0.0015030780000000001
training data 0.001502513
additional features 0.001497082
role information 0.00145601
parsing systems 0.001445911
different parsing 0.001440053
linguistic information 0.001433015
ency relation 0.0014181609999999998
lexical information 0.00140406
same path 0.00138594
dependency parsing 0.001385678
syntactic representation 0.001353075
training corpus 0.001333571
path node 0.001295637
semantic role 0.001284202
syntactic relationship 0.001280752
trees nodes 0.001266935
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predictive features 0.0012468940000000001
descriptive features 0.001246576
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semantic type 0.0012448259999999999
entire information 0.001236501
syntactic analy 0.001232612
dependency parser 0.001223018
ing data 0.001210071
relational information 0.0012009710000000001
parsing techniques 0.00118035
relation 0.00117926
parsing methods 0.001174388
ing systems 0.0011682480000000002
training examples 0.001167934
test set 0.001163491
learning curves 0.001160719
comparative learning 0.001158171
linguistic data 0.001152414
same class 0.001144037
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learning curve 0.001142396
performance results 0.001131469
individual learning 0.001127016
semantic annotations 0.001116309
charniak learning 0.001115996
different argument 0.001109645
automated parsing 0.0011053600000000001
favorable learning 0.001102781
training sets 0.001080929
last node 0.00107513
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approach argument 0.0010710750000000001
recall performance 0.0010621229999999999
test sentence 0.0010611449999999999
parsing algorithms 0.0010507049999999999
argument structure 0.001050193
ency parsing 0.001043449
single node 0.001036628
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precision performance 0.001021755
features 0.00100854
specific node 0.001007802
empty node 0.001004773
different types 0.001003227
other verbs 9.90729E-4
set size 9.85058E-4
other minipar 9.84419E-4
test sentences 9.8067E-4
additional candidate 9.79373E-4
future systems 9.726610000000001E-4
governing node 9.71278E-4
information 9.63787E-4
minipar system 9.60891E-4
other combinations 9.5349E-4
many examples 9.50835E-4
argument figure 9.501749999999999E-4
different spans 9.46941E-4
performance evaluation 9.459709999999999E-4
path types 9.45181E-4
overall performance 9.436539999999999E-4
