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Exploring Representation-Learning Approaches to Domain Adaptation
Fei Huang
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Alexander Yates
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
WS |
Citations
URL
Biased Representation Learning for Domain Adaptation
Fei Huang
|
Alexander Yates
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Online Updating of Word Representations for Part-of-Speech Tagging
Wenpeng Yin
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Tobias Schnabel
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Hinrich Schütze
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Learning Representations for Weakly Supervised Natural Language Processing Tasks
Fei Huang
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Arun Ahuja
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Doug Downey
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Yi Yang
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Yuhong Guo
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Alexander Yates
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Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text
Yi Yang
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Alexander Yates
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Doug Downey
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Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Thien Huu Nguyen
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Ralph Grishman
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New Transfer Learning Techniques for Disparate Label Sets
Young-Bum Kim
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Karl Stratos
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Ruhi Sarikaya
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Minwoo Jeong
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Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
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Barbara Plank
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Ralph Grishman
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Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation
Min Xiao
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Yuhong Guo
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FLORS: Fast and Simple Domain Adaptation for Part-of-Speech Tagging
Tobias Schnabel
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Hinrich Schütze
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Language Models as Representations for Weakly Supervised NLP Tasks
Fei Huang
|
Alexander Yates
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Arun Ahuja
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Doug Downey
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Estimating User Location in Social Media with Stacked Denoising Auto-encoders
Ji Liu
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Diana Inkpen
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http://sourceforge.net/projects/crf/
http://bioie.ldc.upenn.edu/
Field Of Study
Task
Tagging
Chunking
Information Extraction
Biomedical
Approach
Deep Learning
Representation Learning
Semi-supervised Learning
Language
English
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