Sentence Matching
Sentence Matching is a computational task within natural language processing that involves determining the degree of semantic equivalence or correspondence between two sentences, distinguished from related tasks by its focus on full-sentence-level alignment rather than word- or phrase-level matching.
245
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17.3K
Citations
708
Authors
281
Institutions
Publications per year
2017–2026
118
Parents
245
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li et al. · arXiv (Cornell University) · 2015 · 971 citations · Full text
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li et al. · arXiv (Cornell University) · 2015 · 555 citations · Full text
Text Matching as Image Recognition
Liang Pang, Yanyan Lan, Jiafeng Guo et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2016 · 455 citations · Full text
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Chinese Academy of Sciences
Beijing, China
11 h-index
38 publications
6.9K citations
Fudan University
Shanghai, China
8 h-index
26 publications
3.3K citations
Google (United States)
Mountain View, United States
7 h-index
28 publications
1.3K citations
Tencent (China)
Shenzhen, China
7 h-index
25 publications
986 citations

Beihang University
Beijing, China
7 h-index
19 publications
913 citations
Institute of Computing Technology
Beijing, China
7 h-index
23 publications
3.3K citations
University of Science and Technology of China
Hefei, China
6 h-index
21 publications
2.3K citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
9 publications
703 citations
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Repository · 27 publications · 2.7K citations
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7 publications · 251 citations
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Conference · 8 publications · 1.1K citations
8
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5 publications · 276 citations
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JSLHR · 3 publications · 215 citations
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