Peer review and rebuttal, with rich interactions and argumentative discussions in between,
are naturally a good resource to mine arguments. However, few works study both of them …

Most of the existing natural language processing systems for legal texts are developed for
the English language. Nevertheless, there are several application domains where multiple …

Argumentation analysis is a field of computational linguistics that studies methods for
extracting arguments from texts and the relationships between them, as well as building …

Recent research on sequence labelling has been exploring different strategies to mitigate
the lack of manually annotated data for the large majority of the world languages. Among …

We study annotation projection in text classification problems where source documents are
published in multiple languages and may not be an exact translation of one another. In …

Abstract Available corpora for Argument Mining differ along several axes, and one of the key
differences is the presence (or absence) of discourse markers to signal argumentative …

Argument mining has typically been researched for specific corpora belonging to concrete
languages and domains independently in each research work. Human argumentation …

The technological leaps of artificial intelligence (AI) and the rise of machine learning have
triggered significant progress in a plethora of natural language processing (NLP) and …

Our research focuses on extracting exchanged views from dialogical documents through
argument pair extraction (APE). The objective of this process is to facilitate comprehension …

Computational Argumentation studies how human argumentative reasoning can be
approached from a computational viewpoint. Human argumentation is a complex process …