@inproceedings{budzynska-reed-2019-advances,
title = "Advances in Argument Mining",
author = "Budzynska, Katarzyna and
Reed, Chris",
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/P19-4008",
doi = "10.18653/v1/P19-4008",
pages = "39--42",
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.",
}
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%0 Conference Proceedings
%T Advances in Argument Mining
%A Budzynska, Katarzyna
%A Reed, Chris
%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 budzynska-reed-2019-advances
%X 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.
%R 10.18653/v1/P19-4008
%U https://aclanthology.org/P19-4008
%U https://doi.org/10.18653/v1/P19-4008
%P 39-42
Markdown (Informal)
[Advances in Argument Mining](https://aclanthology.org/P19-4008) (Budzynska & Reed, ACL 2019)
ACL
- Katarzyna Budzynska and Chris Reed. 2019. Advances in Argument Mining. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, pages 39–42, Florence, Italy. Association for Computational Linguistics.