Learning sentence embeddings with auxiliary tasks for cross-domain sentiment classification

In this paper, we study cross-domain sentiment classification with neural network architectures. We borrow the idea from Structural Correspondence Learning and use two auxiliary tasks to help induce a sentence embedding that supposedly works well across domains for sentiment classification. We also...

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Bibliographic Details
Main Authors: YU, Jianfei, JIANG, Jing
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/3437
https://ink.library.smu.edu.sg/context/sis_research/article/4438/viewcontent/emnlp2016__2_.pdf
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Institution: Singapore Management University
Language: English

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