Span-level emotion cause analysis with neural sequence tagging

• Main Authors: LI, Xiangju, GAO, Wei, FENG, Shi, WANG, Daling, JOTY, Shafiq
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: neural network; sequence tagging; span-level emotion cause analysis; Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/6688; https://ink.library.smu.edu.sg/context/sis_research/article/7691/viewcontent/3459637.3482186.pdf
• Institution: Singapore Management University

This paper addresses the task of span-level emotion cause analysis (SECA). It is a finer-grained emotion cause analysis (ECA) task, which aims to identify the specific emotion cause span(s) behind certain emotions in text. In this paper, we formalize SECA as a sequence tagging task for which several...