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Multi-level head-wise match and aggregation in transformer for textual sequence matching

Transformer has been successfully applied to many natural language processing tasks. However, for textual sequence matching, simple matching between the representation of a pair of sequences might bring in unnecessary noise. In this paper, we propose a new approach to sequence pair matching with Tra...

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Main Authors: WANG, Shuohang, LAN, Yunshi, TAY, Yi, JIANG, Jing, LIU, Jingjing
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語言:English
出版: Institutional Knowledge at Singapore Management University 2020
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/5601
https://ink.library.smu.edu.sg/context/sis_research/article/6604/viewcontent/AAAI_2020b.pdf
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機構: Singapore Management University
語言: English