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 …

The field of computational models of argument is emerging as an important aspect of
artificial intelligence research. The reason for this is based on the recognition that if we are …

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

Argumentation and eXplainable Artificial Intelligence (XAI) are closely related, as in the
recent years, Argumentation has been used for providing Explainability to AI. Argumentation …

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 …

Argumentation mining is an application of natural language processing (NLP) that emerged
a few years ago and has recently enjoyed considerable popularity, as demonstrated by a …

In this paper, we publicly release an annotated corpus of 42 decisions of the European
Court of Human Rights (ECHR). The corpus is annotated in terms of three types of clauses …

The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …

Federico Cerutti, Sarah A. Gaggl, Matthias Thimm, Johannes P. Wallner abstract. We survey
the current state of the art of general techniques, as well as specific software systems for …

In this paper we present US2016, the largest publicly available set of corpora of annotated
dialogical argumentation. The annotation covers argumentative relations, dialogue acts and …