This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus
on its potential to address issues related to Social and Political Science. More specifically …

Few-shot crosslingual transfer has been shown to outperform its zero-shot counterpart with
pretrained encoders like multilingual BERT. Despite its growing popularity, little to no …

Some of the major limitations identified in the areas of argument mining, argument
generation, and natural language argument analysis are related to the complexity of …

Abstract Argumentation has long been studied in a number of disciplines, including several
branches of linguistics. In recent years, computational processing of argumentation has …

Despite extensive research efforts in recent years, computational argumentation (CA)
remains one of the most challenging areas of natural language processing. The reason for …

In this paper, we analyze comparative questions and answers. At least 3%~ of the questions
submitted to search engines are comparative; ranging from simple facts like" Did Messi or …

The growing interest in employing counter narratives for hatred intervention brings with it a
focus on dataset creation and automation strategies. In this scenario, learning to recognize …

Targeted Sentiment Analysis (TSA) is a central task for generating insights from consumer
reviews. Such content is extremely diverse, with sites like Amazon or Yelp containing …

Argumentation mining is a field of computational linguistics that is devoted to extracting from
texts and classifying arguments and relations between them, as well as constructing an …

The automatic identification of argument units within a text is a crucial task, as it is the first
step that should be performed by an end-to-end argument mining system. In this work, we …