resolution model 0.0018870419999999998
unsupervised model 0.0018368159999999998
probabilistic model 0.0017616659999999998
tion model 0.001720686
generative model 0.0017144889999999998
model parameters 0.0017053049999999998
topic model 0.0017049609999999998
full model 0.0017042009999999998
model source 0.001680013
context feature 0.001675033
model estimates 0.001628797
our model 0.001628299
model best 0.0016258029999999999
first word 0.001535891
context features 0.001526236
model 0.00139348
measure word 0.0013854089999999998
different number 0.001339825
word list 0.001324243
same data 0.001302091
other words 0.0012778389999999998
additional context 0.001247881
gender word 0.0012210419999999999
der word 0.0012072089999999999
quantity word 0.0012038779999999998
word listwl 0.0012038779999999998
different method 0.001202227
other candidate 0.0011920289999999998
same number 0.001187559
training data 0.0011486439999999999
test set 0.001130158
context proba 0.001124469
context sur 0.001120459
dependency parser 0.0011163599999999998
dependency parse 0.0011141509999999999
different pronouns 0.001112954
such cases 0.001092948
training test 0.001090247
feature ablation 0.001082952
measure words 0.0010565969999999998
same sentence 0.001054243
efficient dependency 0.001042613
dependency path 0.001041528
dependency paths 0.001037549
probability term 0.001028481
useful feature 0.001019277
different gender 0.001018911
other languages 0.001011848
different speaker 0.001010791
nmod dependency 0.0010107739999999999
dependency labels 0.0010107739999999999
different speakers 0.001007757
other sentences 9.89026E-4
training set 9.87271E-4
first sentence 9.81483E-4
maximum probability 9.79257E-4
probability value 9.78802E-4
probability terms 9.737020000000001E-4
joint probability 9.40521E-4
hidden data 9.36332E-4
novel features 9.289810000000001E-4
subject candidate 9.28831E-4
labeled data 9.247260000000001E-4
resolution results 9.22487E-4
english translation 9.204479999999999E-4
additional candidate 9.188709999999999E-4
prior probability 9.17436E-4
equal probability 9.14463E-4
annotated data 9.14375E-4
test document 9.042570000000001E-4
context 8.95912E-4
pronouns number 8.93993E-4
candidate antecedents 8.918660000000001E-4
work chinese 8.76643E-4
relative performance 8.70977E-4
first step 8.69954E-4
same gender 8.66645E-4
same way 8.65901E-4
models 8.64368E-4
resolution system 8.638750000000001E-4
azp resolution 8.617970000000001E-4
positional features 8.61168E-4
syntactic information 8.59187E-4
same speaker 8.58525E-4
other hand 8.581559999999999E-4
entire test 8.577060000000001E-4
gigaword corpus 8.500949999999999E-4
test sets 8.49025E-4
ation corpus 8.45948E-4
possible values 8.456480000000001E-4
unannotated corpus 8.44164E-4
ontonotes corpus 8.42536E-4
test documents 8.397400000000001E-4
test instances 8.397400000000001E-4
evaluation measures 8.38354E-4
supervised azp 8.28292E-4
first person 8.16422E-4
overall performance 8.1224E-4
unsupervised azp 8.115710000000001E-4
pronoun resolution 8.01855E-4
