mwe pos 0.002600727
mwe representation 0.002067096
mwe identification 0.0020242990000000002
category mwe 0.001993785
mwe accuracy 0.001991407
mwe categories 0.0019894030000000003
mwe instances 0.001969415
the mwe 0.0019497660000000001
specific mwe 0.0019415880000000002
mwe level 0.0019390030000000001
gold mwe 0.0019355120000000001
frequent mwe 0.001928281
mwe tagging 0.001921739
eral mwe 0.00190726
ent mwe 0.001900764
mwe identifi 0.001892287
mwe spans 0.0018909250000000001
mwe iden 0.0018909250000000001
mwe subcate 0.0018909250000000001
mwe knowl 0.0018909250000000001
word model 0.001837891
parsing model 0.0017392089999999998
pos tag 0.001581438
other mwes 0.001477768
different pos 0.001468109
pos tags 0.001454996
dependency parsing 0.001337381
several pos 0.0012953449999999998
different parsing 0.001295261
model notation 0.0012939849999999999
internal pos 0.0012905249999999998
other words 0.0012845299999999999
tag set 0.0012791819999999998
dependency parser 0.001279003
morphological information 0.001278352
parsing models 0.001275167
ftb pos 0.001270885
first word 0.001270612
ptsg model 0.001259873
grammar features 0.001256251
regular mwes 0.001220381
model outper 0.001203347
dop model 0.001202545
product model 0.001202545
ond model 0.001202545
test set 0.001193493
other models 0.0011867660000000001
level pos 0.0011616299999999999
general parsing 0.001160449
pos sequence 0.001159434
frequent pos 0.001150908
probabilistic tree 0.001149233
word types 0.00114894
standard parsing 0.00113975
few mwes 0.001136592
pos sequences 0.001136301
global pos 0.001120949
ungrammatical pos 0.00111412
compositional mwes 0.001110094
training set 0.0011070960000000001
unlabeled word 0.0010946509999999999
surface features 0.001093855
syntactic structure 0.001091763
gold word 0.001083973
tree substitution 0.001082783
tree fragment 0.001076125
training corpus 0.001063211
unknown word 0.00106248
french parsing 0.001056844
syntactic trees 0.001051118
unique tree 0.001044164
ous mwes 0.001043632
word boundaries 0.001043004
word segmen 0.001040561
parsing experiments 0.001031442
pervasive mwes 0.001029589
terms tree 0.001027988
tree inter 0.0010270169999999999
elementary tree 0.00102641
tree fragments 0.001023401
tree manipulation 0.001021257
data likelihood 0.001005116
model 0.00100038
other nodes 9.98077E-4
parsing metrics 9.935579999999999E-4
stanford parser 9.90421E-4
constituency parsing 9.87853E-4
tag sets 9.72343E-4
data representations 9.721129999999999E-4
treebank annotation 9.68064E-4
phrasal tag 9.656039999999999E-4
label set 9.591269999999999E-4
data split 9.52801E-4
parsing mod 9.45057E-4
data ori 9.42521E-4
factored parsing 9.424769999999999E-4
ented parsing 9.41037E-4
other languages 9.30331E-4
small set 9.25568E-4
such rules 9.23758E-4
