Overview of the SIGHAN 2024 Shared Task for Chinese Dimensional Aspect-Based Sentiment Analysis

Lung Hao Lee, Liang Chih Yu, Suge Wang, Jian Liao

研究成果: Conference contribution同行評審

10 引文 斯高帕斯(Scopus)

摘要

This paper describes the SIGHAN-2024 shared task for Chinese dimensional aspect-based sentiment analysis (ABSA), including task description, data preparation, performance metrics, and evaluation results. Compared to representing affective states as several discrete classes (i.e., sentiment polarity), the dimensional approach represents affective states as continuous numerical values (called sentiment intensity) in the valence-arousal space, providing more fine-grained affective states. Therefore, we organized a dimensional ABSA (shorted dimABSA) shared task, comprising three subtasks: 1) intensity prediction, 2) triplet extraction, and 3) quadruple extraction, receiving a total of 214 submissions from 61 registered participants during evaluation phase. A total of eleven teams provided selected submissions for each subtask and seven teams submitted technical reports for the subtasks. This shared task demonstrates current NLP techniques for dealing with Chinese dimensional ABSA. All data sets with gold standards and evaluation scripts used in this shared task are publicly available for future research.

原文English
主出版物標題SIGHAN 2024 - 10th SIGHAN Workshop on Chinese Language Processing, Proceedings of the Workshop
編輯Kam-Fai Wong, Min Zhang, Ruifeng Xu, Jing Li, Zhongyu Wei, Lin Gui, Bin Liang, Runcong Zhao
發行者Association for Computational Linguistics (ACL)
頁面165-174
頁數10
ISBN(電子)9798891761551
出版狀態Published - 2024
事件10th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2024 - Bangkok, 泰國
持續時間: 16 8月 2024 → …

出版系列

名字SIGHAN 2024 - 10th SIGHAN Workshop on Chinese Language Processing, Proceedings of the Workshop

Conference

Conference10th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2024
國家/地區泰國
城市Bangkok
期間16/08/24 → …

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