Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

The identification of causal relationships between events or entities within biomedical texts
is of great importance for creating scientific knowledge bases and is also a fundamental …

ChatGPT and similar generative AI models have attracted hundreds of millions of users and
have become part of the public discourse. Many believe that such models will disrupt society …

Throughout history, scholars and laypeople alike have believed that our words contain
subtle clues about what we are like as people, psychologically speaking. However, the ways …

In this article, we present a novel approach for parsing argumentation structures. We identify
argument components using sequence labeling at the token level and apply a new joint …

By introducing a small set of additional parameters, a probe learns to solve specific linguistic
tasks (eg, dependency parsing) in a supervised manner using feature representations (eg …

In this paper, we present a novel approach for identifying argumentative discourse structures
in persuasive essays. The structure of argumentation consists of several components (ie …

The goal of argumentation mining, an evolving research field in computational linguistics, is
to design methods capable of analyzing people's argumentation. In this article, we go …

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the
associated documents. Inspired by how the authors compose documents for guiding end …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …