This document describes a strawman specification for an Argument Interchange Format (AIF) that might be used for data exchange between Argumentation tools or communication in Multi-Agent Systems (MAS). The document started life as a skeleton for contributions from participants in the Technical Forum Group meeting in Budapest in September 2005, receiving also input from third parties. The result...

This paper introduces OVA+, an on-line interface for the analysis of arguments. It is the result of an attempt to provide a tool relying on the Argument Interchange Format theory and Inference Anchoring Theory schemes.

In this paper, we present an extension to the recently proposed Argument Interchange Format (AIF) to capture Walton’s argument schemes.

As a profession, we have standard practices for handling reasoning and argumentation. One feature of these practices is so familiar and pervasive that it is almost invisible: the medium of philosophical argumentation is prose. We spend a great deal of time articulating arguments in written prose, and identifying arguments in the writings of others. The dominance of prose goes beyond writing; ev...

This paper is concerned with the problem of quantifying the strength of arguments in controversial debates, which we model as abstract argumentation frameworks [Dung, 1995]. Standard approaches to abstract argumentation provide only a qualitative account of the status of arguments, whereas numerical measures of argument strength might provide a more precise evaluation of their individual status...

In order to determine argument structure in text, one must understand how different individual components of the overall argument are linked. This work presents the first neural network-based approach to link extraction in argument mining. Specifically, we propose a novel architecture that applies Pointer Network sequence-tosequence attention modeling to structural prediction in discourse parsi...

Peer-review systems such as SWoRD lack intelligence for detecting and responding to problems with students’ reviewing performance. While prior work has demonstrated the feasibility of automatically identifying desirable feedback features in free-text reviews of student papers, similar methods have not yet been developed for feedback regarding argument diagrams. One desirable feedback feature is...

This paper describes a Multi-Argument Classification (MAC) approach to Semantic Role Labeling. The goal is to exploit dependencies between semantic roles by simultaneously classifying all arguments as a pattern. Argument identification, as a pre-processing stage, is carried at using the improved Predicate-Argument Recognition Algorithm (PARA) developed by Lin and Smith (2006). Results using sta...