Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence

Author:

Bai Yinhao1ORCID,Zhao Yuhua2ORCID,Han Zhixin2ORCID,Gao Hang3ORCID,Xue Chao4ORCID,Hu Mengting1ORCID

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

Reference44 articles.

1. Peggy M. Andersen, Philip J. Hayes, Alison K. Huettner, Linda M. Schmandt, Irene B. Nirenburg, and Steven P. Weinstein. 1992. Automatic Extraction of Facts from Press Releases to Generate News Stories. In Proceedings of the Third Conference on Applied Natural Language Processing (Trento, Italy) (ANLC '92). Association for Computational Linguistics, USA, 170--177. https://doi.org/10. 3115/974499.974531

2. Distributional Semantics and Linguistic Theory

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

4. Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

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).

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