coreference performance 0.00371485
coreference resolution 0.0036707700000000003
coreference data 0.003604234
training coreference 0.003464545
coreference system 0.003384091
coreference class 0.003296187
coreference systems 0.003159173
coreference classifier 0.003098406
standard coreference 0.003055244
phrase coreference 0.003036562
coreference chain 0.002975674
coreference accuracy 0.002974639
coreference classifiers 0.002960784
coreference learner 0.002956863
coreference sys 0.0029378349999999998
coreference perfor 0.002928671
coreference likelihood 0.00292784
coreference chains 0.002927796
coreference 0.00262145
anaphoricity feature 0.00218062
resolution performance 0.00214272
anaphoricity model 0.00203636
learning algorithm 0.001934818
rule learning 0.00174215
resolution systems 0.0015870430000000002
anaphoricity information 0.001585377
ing anaphoricity 0.001577036
learning approach 0.001570414
machine learning 0.0015484639999999998
anaphoricity decisions 0.00153094
training instance 0.001502252
learning framework 0.001492883
learning algorithms 0.001477069
anaphoricity values 0.001472274
different classes 0.001460739
anaphoricity classifier 0.001452846
determination model 0.001442649
possible anaphoricity 0.001439767
ence performance 0.001435393
anaphoricity models 0.001434542
step learning 0.001430715
overall performance 0.0014246530000000001
evaluation results 0.001410522
different values 0.001407344
new instance 0.0013902139999999999
probability model 0.001366337
parametric model 0.0013628
maxent model 0.001359959
anaphoricity determination 0.001358069
probablistic model 0.001356079
chine learning 0.0013519369999999999
data sets 0.00134789
features 0.0013409
training instances 0.001338044
metric anaphoricity 0.001331943
anaphoricity classifiers 0.001315224
binary anaphoricity 0.001309783
development data 0.001307863
probabilistic anaphoricity 0.001282127
parametric anaphoricity 0.00127822
computed anaphoricity 0.00127323
anaphoricity mod 0.001273046
anaphoricity determina 0.001272261
conservative anaphoricity 0.001271532
training texts 0.001220793
different def 0.001210232
different combinations 0.0012091480000000002
feature 0.00120473
negative instance 0.001190983
class values 0.001171121
determination system 0.00114482
training insts 0.0011404499999999999
training doc 0.00113974
positive instance 0.001126233
erence system 0.00112575
ence system 0.001104634
first method 0.001099129
performance 0.0010934
instance representation 0.001088459
noun phrase 0.00108481
preceding nps 0.001078373
ace research 0.0010751900000000002
model 0.00106047
learning 0.00105562
evaluation details 0.001053275
clustering 0.00105263
resolution 0.00104932
other words 0.001038746
common approach 0.001035844
muc cor 0.001035244
instance cost 0.001024637
propositional rule 0.001011159
default value 0.0010105280000000001
other hand 0.001007626
anaphoric nps 9.99614E-4
parameter values 9.92392E-4
noun phrases 9.846260000000002E-4
anaphoricity 9.7589E-4
instance rep 9.748579999999999E-4
test texts 9.74473E-4
