The evolution of argumentation mining: From models to social media and emerging tools

by   Anastasios Lytos, et al.

Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law, Scientific Papers) serving specific needs (completeness, effectiveness). With the emerge of Web 2.0 and the explosion in the use of social media both the diffusion of the data and the argument structure have changed. In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media. We review, compare, and classify existing approaches, techniques and tools, identifying the positive outcome of combining tasks and features, and eventually propose a conceptual architecture framework. The proposed theoretical framework is an argumentation mining scheme able to identify the distinct sub-tasks and capture the needs of social media text, revealing the need for adopting more flexible and extensible frameworks.


page 1

page 2

page 3

page 4


Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness

Argumentation mining from social media content has attracted increasing ...

Argumentation Mining in User-Generated Web Discourse

The goal of argumentation mining, an evolving research field in computat...

Enacting Social Argumentative Machines in Semantic Wikipedia

This research advocates the idea of combining argumentation theory with ...

Mining Arguments from Cancer Documents Using Natural Language Processing and Ontologies

In the medical domain, the continuous stream of scientific research cont...

Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning

Deep learning is bringing remarkable contributions to the field of argum...

A Survey of Signed Network Mining in Social Media

Many real-world relations can be represented by signed networks with pos...

Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?

With the increasing diversity of use cases of large language models, a m...

Please sign up or login with your details

Forgot password? Click here to reset