Argumentation Mining
@article{Lippi2016ArgumentationM, title={Argumentation Mining}, author={Marco Lippi and Paolo Torroni}, journal={ACM Transactions on Internet Technology (TOIT)}, year={2016}, volume={16}, pages={1 - 25} }
Argumentation mining aims at automatically extracting structured arguments from unstructured textual documents. It has recently become a hot topic also due to its potential in processing information originating from the Web, and in particular from social media, in innovative ways. Recent advances in machine learning methods promise to enable breakthrough applications to social and economic sciences, policy making, and information technology: something that only a few years ago was unthinkable…
270 Citations
The evolution of argumentation mining: From models to social media and emerging tools
- Computer ScienceInf. Process. Manag.
- 2019
Argumentation Mining: Techniques and Emerging Trends
- Computer ScienceJournal of University of Shanghai for Science and Technology
- 2021
This survey article will review the existing systems and applications and will cover the three categories of argumentation models and a comparative table depicting the most frequently applied ML method.
Mining Bipolar Argumentation Frameworks from Natural Language Text
- Computer ScienceCMNA@ICAIL
- 2017
A methodology for mining topic-dependent Bipolar Argumentation Frameworks (BAFs) from natural language text by identifying attack and support argumentative relations between texts about the same topic is described.
Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness
- PhilosophyArXiv
- 2017
The motivation for social media argumentation mining, as well as the tasks and challenges involved, are discussed.
Five Years of Argument Mining: a Data-driven Analysis
- Computer ScienceIJCAI
- 2018
This paper presents the argument mining tasks, and the obtained results in the area from a data-driven perspective, and highlights the main weaknesses suffered by the existing work in the literature, and proposes open challenges to be faced in the future.
Argumentation Mining in User-Generated Web Discourse
- Computer ScienceCL
- 2017
The findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task and offers the data, source codes, and annotation guidelines to the community under free licenses.
Automatic argumentation mining and the role of stance and sentiment
- Computer Science, Linguistics
- 2020
Argumentation mining is a subfield of Computational Linguistics that aims at automatically finding arguments and their structural components in natural language text and two other applications that are popular in computational linguistics: sentiment analysis and stance detection are described.
Cross-Lingual Argumentation Mining
- Computer Science
- 2018
This document presents an argumentation mining system to extract arguments from news articles or essays, in Portuguese and English, using a cross-language machine learning approach based on deep neural networks.
Argument Mining: A Survey
- PhilosophyComputational Linguistics
- 2019
The techniques that establish the foundations for argument mining are explored, a review of recent advances in argument mining techniques are provided, and the challenges faced in automatically extracting a deeper understanding of reasoning expressed in language in general are discussed.
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