The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

Despite being investigated for over 50 years, the task of automated essay scoring continues
to draw a lot of attention in the natural language processing community in part because of its …

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 …

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

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 …

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 …

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 advantages offered by natural language processing (NLP) and machine learning
enable students to receive automated feedback on their argumentation skills, independent …

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 …

Identifying the quality of free-text arguments has become an important task in the rapidly
expanding field of computational argumentation. In this work, we explore the challenging …