Distantly Supervised Sequence Labeling
Distantly Supervised Sequence Labeling is a sequence labeling approach that leverages external, noisy sources of supervision—such as heuristic rules or knowledge bases—to automatically generate training labels without manual annotation, thereby reducing reliance on costly human-labeled data while addressing the misalignment between indirect supervision and true token-level labels.
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341
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37
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Publications per year
2017–2026
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Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu et al. · 2018 · 233 citations · Full text
Pattern-enhanced Named Entity Recognition with Distant Supervision
Xuan Wang, Yingjun Guan, Yu Zhang et al. · 2020 · 29 citations
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University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
13 publications
1.2K citations
Kunming University of Science and Technology
Kunming, China
1 h-index
4 publications
52 citations
University of Southern California
Los Angeles, United States
1 h-index
4 publications
932 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
23 citations
Iowa State University
Ames, United States
1 h-index
1 publications
29 citations
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Repository · 2 publications · 33 citations
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Conference · 1 publications · 23 citations
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Repository · 1 publications · 10 citations
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1 publications · 13 citations
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