@inproceedings{joty-etal-2019-discourse,
title = "Discourse Analysis and Its Applications",
author = "Joty, Shafiq and
Carenini, Giuseppe and
Ng, Raymond and
Murray, Gabriel",
editor = "Nakov, Preslav and
Palmer, Alexis",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-4003",
doi = "10.18653/v1/P19-4003",
pages = "12--17",
abstract = "Discourse processing is a suite of Natural Language Processing (NLP) tasks to uncover linguistic structures from texts at several levels, which can support many downstream applications. This involves identifying the topic structure, the coherence structure, the coreference structure, and the conversation structure for conversational discourse. Taken together, these structures can inform text summarization, machine translation, essay scoring, sentiment analysis, information extraction, question answering, and thread recovery. The tutorial starts with an overview of basic concepts in discourse analysis {--} monologue vs. conversation, synchronous vs. asynchronous conversation, and key linguistic structures in discourse analysis. We also give an overview of linguistic structures and corresponding discourse analysis tasks that discourse researchers are generally interested in, as well as key applications on which these discourse structures have an impact.",
}
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%0 Conference Proceedings
%T Discourse Analysis and Its Applications
%A Joty, Shafiq
%A Carenini, Giuseppe
%A Ng, Raymond
%A Murray, Gabriel
%Y Nakov, Preslav
%Y Palmer, Alexis
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F joty-etal-2019-discourse
%X Discourse processing is a suite of Natural Language Processing (NLP) tasks to uncover linguistic structures from texts at several levels, which can support many downstream applications. This involves identifying the topic structure, the coherence structure, the coreference structure, and the conversation structure for conversational discourse. Taken together, these structures can inform text summarization, machine translation, essay scoring, sentiment analysis, information extraction, question answering, and thread recovery. The tutorial starts with an overview of basic concepts in discourse analysis – monologue vs. conversation, synchronous vs. asynchronous conversation, and key linguistic structures in discourse analysis. We also give an overview of linguistic structures and corresponding discourse analysis tasks that discourse researchers are generally interested in, as well as key applications on which these discourse structures have an impact.
%R 10.18653/v1/P19-4003
%U https://aclanthology.org/P19-4003
%U https://doi.org/10.18653/v1/P19-4003
%P 12-17
Markdown (Informal)
[Discourse Analysis and Its Applications](https://aclanthology.org/P19-4003) (Joty et al., ACL 2019)
ACL
- Shafiq Joty, Giuseppe Carenini, Raymond Ng, and Gabriel Murray. 2019. Discourse Analysis and Its Applications. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, pages 12–17, Florence, Italy. Association for Computational Linguistics.