Research on computational argumentation faces the problem of how to automatically assess
the quality of an argument or argumentation. While different quality dimensions have been …

This paper surveys and organizes research works in an under-studied area, which we call
automated evaluation for student argumentative writing. Unlike traditional automated writing …

Given any argument on any controversial topic, how to counter it? This question implies the
challenging retrieval task of finding the best counterargument. Since prior knowledge of a …

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

Though preceding work in computational argument quality (AQ) mostly focuses on
assessing overall AQ, researchers agree that writers would benefit from feedback targeting …

As argumentation about controversies is culture-and language-dependent, porting a serious
game that deals with daily argumentation to another language requires substantial …

Social bias in language-towards genders, ethnicities, ages, and other social groups-poses a
problem with ethical impact for many NLP applications. Recent research has shown that …

We solve the argument mining problem by investigating discourse and communicative text
structure. A new formal graph-based structure called communicative discourse tree (CDT) is …

This book discusses the state of the art of automated essay scoring, its challenges and its
potential. One of the earliest applications of artificial intelligence to language data (along …

In the context of language learning, feedback comment generation is the task of generating
hints or explanatory notes for learner texts that help understand why a part of text is …