Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence-Reference-Cited by-同舟云学术

Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence

Published:2024-08-24 Issue: Volume:21 Page:83-94
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Bai Yinhao¹^ORCID,Zhao Yuhua²^ORCID,Han Zhixin²^ORCID,Gao Hang³^ORCID,Xue Chao⁴^ORCID,Hu Mengting¹^ORCID

Affiliation:

1. College of Software, Nankai University & Tianjin Key Laboratory of Software Experience and Human Computer Interaction, Tianjin, China

2. College of Software, Nankai University, Tianjin, China

3. College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China

4. JD Explore Academy, Beijing, Chile

Funder

The youth program of National Science Fund of Tianjin, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3672067

Reference44 articles.

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2. Distributional Semantics and Linguistic Theory

3. Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions

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5. Leyang Cui, Yu Wu, Jian Liu, Sen Yang, and Yue Zhang. 2021. Template-based named entity recognition using BART. arXiv preprint arXiv:2106.01760 (2021).