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What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations

Authors :
Jichuan Zeng
Jing Li
Irwin King
Michael R. Lyu
Yulan He
Cuiyun Gao
Source :
Transactions of the Association for Computational Linguistics, Vol 7, Pp 267-281 (2019)
Publication Year :
2019
Publisher :
The MIT Press, 2019.

Abstract

This paper presents an unsupervised framework for jointly modeling topic content and discourse behavior in microblog conversations. Concretely, we propose a neural model to discover word clusters indicating what a conversation concerns (i.e., topics) and those reflecting how participants voice their opinions (i.e., discourse). Extensive experiments show that our model can yield both coherent topics and meaningful discourse behavior. Further study shows that our topic and discourse representations can benefit the classification of microblog messages, especially when they are jointly trained with the classifier.<br />Accepted in Transactions of the Association for Computational Linguistics

Details

Language :
English
ISSN :
2307387X
Volume :
7
Database :
OpenAIRE
Journal :
Transactions of the Association for Computational Linguistics
Accession number :
edsair.doi.dedup.....d0fc1c531eebaa13d10a0c01d04fbb3c
Full Text :
https://doi.org/10.1162/tacl_a_00267