Computer Science ›› 2022, Vol. 49 ›› Issue (11A): 210800180-5.doi: 10.11896/jsjkx.210800180

• Artificial Intelligence • Previous Articles     Next Articles

Stance Detection Based on Argument Boundary Recognition

CHEN Zi-zhuo, LIN Xi, WANG Zhong-qing   

  1. School of Computer Science and Technology,Soochow University,Suzhou,Jiangsu 215006,China
  • Online:2022-11-10 Published:2022-11-21
  • About author:CHEN Zi-zhuo,born in 2000,undergraduate.His main research interests include natural language processing and sentiment analysis.
    WANG Zhong-qing,born in 1987,Ph.D,postgraduate supervisor.His main research interests include natural language processing and sentiment analysis.

Abstract: In online debates,people often use emotional language to make their points with casual expressions.As a supporting evidence of these points,argument contains more of the author’s stance polarity,so the argument information is of great help to the stance detection.In this paper,we propose a stance detection model of BERT via argument boundary recognition to improve the effect of classification on texts in online debates.We use bidirectional encoder representations from transformers(BERT) to screen the arguments related to the topics from the debate posts.Then we combine the argument information and the text information to predict the stance polarity via BERT.Experiments are carried out on the English online debate dataset,compared with the stance analysis model of BERT using only text information and other machine learning models,the model based on argument boundary recognition has better performance in stance detection.

Key words: Argument recognition, BERT, Stance detection

CLC Number: 

  • TP391
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