kernel relation 0.00465727
other kernel 0.0032132890000000002
entity relation 0.0031534740000000003
different kernel 0.003077967
same kernel 0.003063369
kernel performance 0.0029205200000000002
kernel function 0.002893308
kernel svm 0.002878944
ace relation 0.0028781460000000003
argument kernel 0.002822685
path kernel 0.002794071
work kernel 0.002786956
relation types 0.0027724470000000004
polynomial kernel 0.002740294
sequence kernel 0.00272363
relation arguments 0.0027213940000000002
link kernel 0.002718395
final kernel 0.002715401
kernel methods 0.002705662
relation examples 0.002682523
full kernel 0.002680823
composite kernel 0.002678389
relation detection 0.0026781590000000003
kernel functions 0.002666263
ferent kernel 0.002660422
relation subtypes 0.0026541140000000004
kernel setup 0.002647937
kernel properties 0.002647215
similar relation 0.0026360660000000003
nomial kernel 0.002622545
kernel framework 0.002614343
valid kernel 0.002614179
kernel func 0.002612537
subsequence kernel 0.002610749
kernel setups 0.002610205
relation example 0.00260791
bigram kernel 0.002607717
ment kernel 0.002603665
incremental kernel 0.0026029770000000002
phys relation 0.0025806410000000003
relation tagging 0.002567024
relation candidate 0.002559113
spurious relation 0.002546304
kernel 0.00235702
relation 0.00230025
syntactic relations 0.001972351
entity relations 0.001958154
syntactic information 0.001926861
dependency tree 0.001909927
different relations 0.001825877
dependency information 0.001818607
new features 0.0017922300000000001
feature space 0.00177709
syntactic kernels 0.001769867
level information 0.001690134
dependency kernels 0.0016616130000000002
relations svm 0.001626854
different kernels 0.0016233929999999999
order features 0.001618627
parse tree 0.001609074
entity type 0.00159098
normal features 0.001569495
such dependency 0.001507021
other level 0.001486963
information extraction 0.0014599790000000001
training data 0.001442141
important information 0.001437321
entity nodes 0.001421893
order feature 0.001420907
lexical information 0.001405395
dependency level 0.001389861
supplementary information 0.001366034
design feature 0.001365551
test data 0.001363253
different training 0.001358361
predefined relations 0.001352717
surface information 0.001348748
useful information 0.001344299
specific information 0.00133438
level word 0.0013324230000000001
information extrac 0.001330273
entity types 0.001325421
global information 0.0013219590000000002
ace type 0.001315652
features 0.00131456
complementary information 0.001309308
basis kernels 0.001298679
polynomial kernels 0.00128572
entity arguments 0.001274368
syntactic processing 0.001269029
other processing 0.0012578770000000001
previous kernels 0.001252411
ace corpus 0.001247499
such task 0.001246357
other examples 0.001238542
syntactic analysis 0.001232787
entity detection 0.001231133
other levels 0.001227835
composite kernels 0.001223815
ace training 0.00121531
