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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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
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Online Access: | 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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Institution: | Singapore Management University |
Language: | English |
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