2018

Aspect Term Extraction with History Attention and Selective Transformation

Li, Xin, Bing, Lidong, Li, Piji et al.

Understand

Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to extract explicit aspect expressions from online user reviews.

We present a new framework for tackling ATE.
It can exploit two useful clues, namely opinion summary and aspect detection history.
Opinion summary is distilled from the whole input sentence, conditioned on each current token for aspect prediction, and thus the tailor-made summary can help aspect prediction on this token.

Built on

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Minqing Hu and Bing Liu · 2004
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Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky · 2009
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Xavier Glorot and Yoshua Bengio · 2010
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Guang Qiu, Bing Liu, Jiajun Bu, and Chun Chen · 2011
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Alex Graves · 2012
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Kang Liu, Liheng Xu, and Jun Zhao · 2012
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Bing Liu · 2012
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Opinion target extraction using partially-supervised word alignment model
Kang Liu, Heng Li Xu, Yang Liu, and Jun Zhao · 2013
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Ihs r&d belarus: Cross-domain extraction of product features using crf
Maryna Chernyshevich · 2014
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