Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Research on computational argumentation faces the problem of how to automatically assess
the quality of an argument or argumentation. While different quality dimensions have been …

Computational argumentation is expected to play a critical role in the future of web search.
To make this happen, many search-related questions must be revisited, such as how people …

This paper is a condensed report on Touché: the first shared task on argument retrieval that
was held at CLEF 2020. With the goal to create a collaborative platform for research in …

This paper is a condensed report on the second year of the Touché shared task on
argument retrieval held at CLEF 2021. With the goal to provide a collaborative platform for …

Given any argument on any controversial topic, how to counter it? This question implies the
challenging retrieval task of finding the best counterargument. Since prior knowledge of a …

Argument mining has become a popular research area in NLP. It typically includes the
identification of argumentative components, eg claims, as the central component of an …

This paper is a condensed report on the third year of the Touché lab on argument retrieval
held at CLEF 2022. With the goal to foster and support the development of technologies for …

The segmentation of an argumentative text into argument units and their non-argumentative
counterparts is the first step in identifying the argumentative structure of the text. Despite its …

The process of obtaining high quality labeled data for natural language understanding tasks
is often slow, error-prone, complicated and expensive. With the vast usage of neural …