complete model 0.002736406
graphical model 0.002727884
probabilistic model 0.002721397
statistical model 0.0027128
model discov 0.0026762509999999997
mention word 0.002553945
model 0.00245877
context word 0.002433242
first word 0.002239179
word tokens 0.002157835
text word 0.002078957
current word 0.002077897
case word 0.002072332
second word 0.002071317
word shape 0.002014367
last word 0.002005204
vious word 0.001975359
preceding word 0.0019751309999999998
mention words 0.001555891
entity mention 0.001536452
mention context 0.001450287
context distribution 0.001448599
context words 0.001435188
other words 0.0014188199999999999
entity context 0.001415749
feature vector 0.001405145
context features 0.001298865
sports data 0.0012580830000000001
same entity 0.001232901
context information 0.0012203119999999999
dirichlet distribution 0.001194549
linear distribution 0.001190955
mention tokens 0.00117488
vector values 0.0011245209999999999
mention form 0.001104561
text words 0.001080903
mention vocabulary 0.001071494
laplace distribution 0.0010588659999999999
multinomial distribution 0.001053479
context distributions 0.0010531310000000001
ture vector 0.001051058
weight vector 0.001045207
entity row 0.001042725
entity types 0.0010370029999999999
match words 0.001035975
mention likelihood 0.0010318649999999999
base distribution 0.001027489
attribute words 0.001022439
similar context 0.00101934
breaking distribution 0.001008127
unique mention 0.001005216
inference algorithm 0.0010048779999999998
similarity function 9.95573E-4
mention strings 9.95161E-4
mth mention 9.90696E-4
ing context 9.87024E-4
current context 9.74239E-4
entity recognizer 9.73614E-4
news corpus 9.67021E-4
entity attributes 9.64879E-4
entity recog 9.64801E-4
gibbs sampling 9.62794E-4
context vocabulary 9.50791E-4
column sampling 9.23078E-4
context likelihood 9.11162E-4
bayesian inference 8.94263E-4
other elements 8.896539999999999E-4
sampling procedure 8.856059999999999E-4
shape features 8.7999E-4
context vocabu 8.70026E-4
coreference res 8.69861E-4
feature weights 8.68165E-4
large size 8.614849999999999E-4
arbitrary features 8.59893E-4
surface features 8.54519E-4
binary features 8.539839999999999E-4
possible index 8.48129E-4
sitional features 8.422799999999999E-4
servable features 8.40742E-4
standard gibbs 8.323779999999999E-4
blogs corpus 8.27928E-4
column index 8.275400000000001E-4
vector 8.24496E-4
partition function 8.22492E-4
inference our 8.17253E-4
simple baseline 8.16318E-4
clustering approach 8.15171E-4
clustering algorithm 8.15167E-4
standard table 8.10123E-4
similarity score 8.07428E-4
inference technique 8.03644E-4
dirichlet process 8.02657E-4
exact inference 8.02462E-4
baseline system 7.9886E-4
small number 7.90715E-4
clustering baseline 7.898250000000001E-4
baseline clustering 7.898250000000001E-4
approximate inference 7.87247E-4
mention 7.85495E-4
distribution 7.83807E-4
