Data Selection Strategies for Multi-Domain Sentiment Analysis

Domain Adaptation with Structural Correspondence Learning

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Analysis of representations for domain adaptation

Shai Ben-David, John Blitzer, Koby Crammer, and Fernando Pereira. 2007 · 2007

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Instance Weighting for Domain Adaptation in NLP

Jing Jiang and ChengXiang Zhai. 2007 · 2007

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Domain Adaptation from Multiple Sources via Auxiliary Classifiers

Lixin Duan, Ivor W. Tsang, Dong Xu, and Tat-Seng Chua. 2009 · 2009

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Domain Adaptation with Multiple Sources

Yishay Mansour. 2009 · 2009

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Cross-Domain Sentiment Classification via Spectral Feature Alignment

Sinno Jialin Pan, Xiaochuan Ni, Jian-tao Sun, Qiang Yang, and Zheng Chen. 2010 · 2010

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Using Domain Similarity for Performance Estimation

Vincent Van Asch and Walter Daelemans. 2010 · 2010

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Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification

John Blitzer, Mark Dredze, and Fernando Pereira. 2007 · 2011

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Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification

Danushka Bollegala, David Weir, and John Carroll. 2011 · 2011

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Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach

Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011 · 2011

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Multi-aspect Sentiment Analysis with Topic Models

Bin Lu, Myle Ott, Claire Cardie, and Benjamin Tsou. 2011 · 2011

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Effective Measures of Domain Similarity for Parsing

Barbara Plank and Gertjan van Noord. 2011 · 2011

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Multi-Source Domain Adaptation and Its Application to Early Detection of Fatigue

Rita Chattopadhyay, Qian Sun, Jieping Ye, Sethuraman Panchanathan, Wei Fan, and Ian Davidson. 2012 · 2012

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Marginalized Denoising Autoencoders for Domain Adaptation

Minmin Chen, Zhixiang Xu, Kilian Q. Weinberger, and Fei Sha. 2012 · 2012

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Domain adaptation using Domain Similarity- and Domain Complexity-based Instance Selection for Cross-Domain Sentiment Analysis

Robert Remus. 2012 · 2012

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Adaptation Data Selection using Neural Language Models : Experiments in Machine Translation

Unsupervised Multi-Domain Adaptation with Feature Embeddings

Yi Yang and Jacob Eisenstein. 2015 · 2015

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Supervised Representation Learning: Transfer Learning with Deep Autoencoders

Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, and Qing He. 2015 · 2015

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What to do about non-standard (or non-canonical) language in NLP

Original

Barbara Plank. 2016 · 2016

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Towards a continuous modeling of natural language domains

Sebastian Ruder, Parsa Ghaffari, and John G Breslin. 2016 · 2016

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Towards Universal Paraphrastic Sentence Embeddings

Original

John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2016 · 2016

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