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What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
- 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
- Subjects :
- FOS: Computer and information sciences
Linguistics and Language
Computer Science - Computation and Language
Computer science
business.industry
Microblogging
Communication
lcsh:P98-98.5
HM
computer.software_genre
QA76
Computer Science Applications
Human-Computer Interaction
Artificial Intelligence
Joint (building)
Social media
Artificial intelligence
lcsh:Computational linguistics. Natural language processing
business
Computation and Language (cs.CL)
computer
Natural language processing
Word (computer architecture)
Subjects
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