Wei Tan
2022
ECO v1: Towards Event-Centric Opinion Mining
Ruoxi Xu
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Hongyu Lin
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Meng Liao
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Xianpei Han
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Jin Xu
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Wei Tan
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Yingfei Sun
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Le Sun
Findings of the Association for Computational Linguistics: ACL 2022
Events are considered as the fundamental building blocks of the world. Mining event-centric opinions can benefit decision making, people communication, and social good. Unfortunately, there is little literature addressing event-centric opinion mining, although which significantly diverges from the well-studied entity-centric opinion mining in connotation, structure, and expression. In this paper, we propose and formulate the task of event-centric opinion mining based on event-argument structure and expression categorizing theory. We also benchmark this task by constructing a pioneer corpus and designing a two-step benchmark framework. Experiment results show that event-centric opinion mining is feasible and challenging, and the proposed task, dataset, and baselines are beneficial for future studies.
2019
A Real-World Human-Machine Interaction Platform in Insurance Industry
Wei Tan
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Chia-Hao Chang
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Yang Mo
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Lian-Xin Jiang
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Gen Li
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Xiao-Long Hou
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Chu Chen
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Yu-Sheng Huang
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Meng-Yuan Huang
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Jian-Ping Shen
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)
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Co-authors
- Ruoxi Xu 1
- Hongyu Lin 1
- Meng Liao 1
- Xianpei Han 1
- Jin Xu 1
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