context similarity 0.0019959749999999997
different similarity 0.001943059
document name 0.001803654
similarity features 0.001791408
similarity feature 0.001784121
same name 0.001777061
name string 0.001678789
different entities 0.0016737219999999999
entity names 0.001587808
person name 0.001552921
name disambiguation 0.0015459839999999998
name list 0.001528169
different names 0.001526536
context features 0.0015126229999999998
relationship similarity 0.001504507
similarity vector 0.0014932309999999998
key name 0.001488389
first context 0.001455161
proper name 0.00145273
same entity 0.0014443120000000001
similarity measure 0.001439269
ambiguous name 0.001419082
name ambiguity 0.001417427
unambiguous name 0.001416877
entity coreference 0.001405548
similarity values 0.0013962749999999998
similarity measures 0.0013764979999999999
training data 0.001349629
training corpus 0.001347786
learning system 0.001322992
same names 0.0012982179999999999
new context 0.001268803
basic context 0.0012434759999999999
probability distribution 0.001239716
context pairs 0.001238938
entity relationship 0.001234078
same training 0.00122139
full context 0.001221358
person entities 0.0012212640000000001
above algorithm 0.001208948
second context 0.001206375
new algorithm 0.001171594
language information 0.0011658340000000001
context vectors 0.001165021
different person 0.0011589
pairwise context 0.001155026
entity aliasing 0.001139816
similarity 0.00113738
final entity 0.001135096
context pair 0.001134907
previous algorithm 0.0011333609999999998
entity tagger 0.001125982
context representation 0.001121223
disambiguation algorithm 0.0011076699999999998
heterogeneous context 0.001104443
context similarities 0.001099032
entity tracking 0.001090648
unique entities 0.00109046
predefined context 0.001088777
space model 0.001087489
distinct entities 0.001084385
person names 0.001074078
different people 0.001063884
construct word 0.0010570010000000001
different persons 0.001050631
information extraction 0.001044854
basic features 0.001038909
system recall 0.00102154
data analysis 0.001021501
testing corpus 0.001016236
possible feature 0.001016051
large document 9.99067E-4
location names 9.96801E-4
multiple names 9.94949E-4
algorithm design 9.91072E-4
organization names 9.90131E-4
other categories 9.8934E-4
scaling algorithm 9.825209999999999E-4
greedy algorithm 9.81488E-4
other people 9.80416E-4
entropy model 9.79553E-4
prior probability 9.690759999999999E-4
hard clustering 9.67446E-4
training corpora 9.61684E-4
generative model 9.568999999999999E-4
product names 9.46936E-4
other hand 9.4498E-4
ambiguous names 9.40239E-4
unambiguous names 9.38034E-4
feature configuration 9.306000000000001E-4
same person 9.30582E-4
significant information 9.264620000000001E-4
corpus construction 9.25038E-4
conditional probability 9.23257E-4
tipster corpus 9.20391E-4
training procedure 9.15559E-4
automatic corpus 9.148559999999999E-4
heterogeneous features 8.99876E-4
identification information 8.94523E-4
cross document 8.89712E-4
