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word clustering 0.003442119
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word embeddings 0.003293217
word embedding 0.003274528
word representations 0.00325537
brown word 0.003239534
word rep 0.003221532
word represen 0.003188787
word repre 0.003186216
hlbl word 0.003181213
feature set 0.002294003
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domain data 0.00224069
lexical feature 0.002240039
baseline feature 0.002170426
lexical features 0.002137849
feature representation 0.002109892
latent feature 0.002107059
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various feature 0.0020341029999999998
language words 0.002007251
feature sets 0.001959073
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additional features 0.001926024
full feature 0.001885372
feature groups 0.001871852
feature augmentation 0.001868464
embedding features 0.001864498
context words 0.001860217
target domain 0.0017838250000000002
domain adaptation 0.001775979
training data 0.001714504
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bagwc words 0.0017038679999999999
feature 0.00164281
source domain 0.001637524
target data 0.0016207550000000002
features 0.00154062
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words 0.00146339
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different domains 0.0013438550000000001
testing data 0.001343044
data distributions 0.001323355
data points 0.0012995720000000001
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different informa 0.001279217
different levels 0.0012754700000000001
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data our 0.001269357
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unseen data 0.001266349
representation learning 0.00124068
language models 0.0012076769999999999
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relation extraction 0.001195594
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extraction system 0.001156714
machine learning 0.00113082
language adaptation 0.0011179599999999999
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relation extractors 0.001017568
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relation extractor 0.001012087
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deep learning 0.001008251
semantic similarity 0.001006763
automatic system 9.97168E-4
specialized system 9.71885E-4
adaptation improvement 9.51944E-4
unlabeled target 9.4806E-4
same regularization 9.38805E-4
performance order 9.379190000000001E-4
tion performance 9.31227E-4
generalization performance 9.263540000000001E-4
line performance 9.233240000000001E-4
vector representation 9.22239E-4
same dis 9.2096E-4
cal information 9.16146E-4
development set 9.15906E-4
tween training 9.158580000000001E-4
semantic analysis 9.070980000000001E-4
model 9.04937E-4
other cases 8.97779E-4
