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Language Models as Representations for Weakly Supervised NLP Tasks
Fei Huang
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Alexander Yates
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Arun Ahuja
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Doug Downey
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Paper Details:
Month: June
Year: 2011
Location: Portland, Oregon, USA
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
Simon Šuster
|
Gertjan van Noord
|
Biased Representation Learning for Domain Adaptation
Fei Huang
|
Alexander Yates
|
Segmentation-Free Word Embedding for Unsegmented Languages
Takamasa Oshikiri
|
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Fei Huang
|
Arun Ahuja
|
Doug Downey
|
Yi Yang
|
Yuhong Guo
|
Alexander Yates
|
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation
Min Xiao
|
Yuhong Guo
|
Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
Qingqing Cai
|
Alexander Yates
|
Automatic Grading of Scientific Inquiry
Avirup Sil
|
Angela Shelton
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Diane Jass Ketelhut
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Alexander Yates
|
http://metaoptimize.com/projects/wordreprs/
http://sourceforge.net/projects/crf/
http://bioie.ldc.upenn.edu/
Field Of Study
Task
Tagging
Information Extraction
Biomedical
Approach
Graphical Model
Language
English
Dataset
Biomedical Texts
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