Advances in Argument Mining

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This course aims to introduce students to an exciting and dynamic area that has witnessed remarkable growth over the past 36 months. Argument mining builds on opinion mining, sentiment analysis and related to tasks to automatically extract not just *what* people think, but *why* they hold the opinions they do. From being largely beyond the state of the art barely five years ago, there are now many hundreds of papers on the topic, millions of dollars of commercial and research investment, and the 6th ACL workshop on the topic will be in Florence in 2019. The tutors have delivered tutorials on argument mining at ACL 2016, at IJCAI 2016 and at ESSLLI 2017; for ACL 2019, we have developed a tutorial that provides a synthesis of the major advances in the area over the past three years.
Original languageEnglish
Title of host publicationProceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publicationTutorial Abstracts
PublisherAssociation for Computational Linguistics
Pages39-42
Number of pages4
DOIs
Publication statusPublished - Jul 2019
Event57th Annual Meeting of the Association for Computational Linguistics - Florence, Italy
Duration: 1 Jul 20191 Jul 2019

Conference

Conference57th Annual Meeting of the Association for Computational Linguistics
CountryItaly
CityFlorence
Period1/07/191/07/19

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