Abstract Information technology is so ubiquitous and AI's progress so inspiring that also
legal professionals experience its benefits and have high expectations. At the same time, the …

When courts started publishing judgements, big data analysis (ie large-scale statistical
analysis of case law and machine learning) within the legal domain became possible. By …

Abstract Argumentation represents the study of views and opinions that humans express
with the goal of reaching a conclusion through logical reasoning. Since the 1950's, several …

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 …

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 …

Argument mining is a core technology for automating argument search in large document
collections. Despite its usefulness for this task, most current approaches to argument mining …

In populous countries, pending legal cases have been growing exponentially. There is a
need for developing techniques for processing and organizing legal documents. In this …

Generating a concise summary from a large collection of arguments on a given topic is an
intriguing yet understudied problem. We propose to represent such summaries as a small …

Recent years have seen a surge of interest in stance classification in online debates.
Oftentimes, however, it is important to determine not only the stance expressed by an author …

With the advent of the big-data era, massive information stored in electronic and digital forms
on the internet become valuable resources for knowledge discovery in engineering design …