Argument mining systems for student essays need to be able to reliably identify argument components independently of particular essay topics. Thus in addition to features that model argumentation through topic-independent linguistic indicators such as discourse markers, features that can abstract over lexical signals of particular essay topics might also be helpful to improve performance. Prior...

In order to determine argument structure in text, one must understand how 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 parsing tasks. ...

Argument extraction is a challenging task in event extraction. However, most of previous studies focused on intra-sentence information and failed to extract inter-sentence arguments. This paper proposes a discourse-level joint model of argument identification and role determination to infer those inter-sentence arguments in a discourse. Moreover, to better represent the relationship among relev...

Argument(ation) mining (AM) is an area of research in Artificial Intelligence (AI) that aims to identify, analyse and automatically generate arguments natural language. In a pipeline, the identification analysis their components (i.e. premises claims) texts prediction relations attack support) are then handled by argument-based reasoning frameworks so that, for example, fallacies inconsistencie...

This paper presents ParTes, the first test suite in Spanish and Catalan for parsing qualitative evaluation. This resource is a hierarchical test suite of the representative syntactic structure and argument order phenomena. ParTes proposes a simplification of the qualitative evaluation by contributing to the automatization of this task.

Argument Mining is defined as the task of automatically identifying and extracting argumentative components (e.g., premises, claims, etc.) detecting existing relations among them (i.e., support, attack, rephrase, no relation). One main issues when approaching this problem lack data, size publicly available corpora. In work, we use recently annotated US2016 debate corpus. largest argument corpus...

Argument by multimodal metaphor usually plays a vital role of persuasion daily. In this paper, we analyse the argumentation of Lin Dan Commercial (LDC), an anti-corruption advertisement broadcasted on China Central Television, with conceptual metaphor theory and multimodal metaphor, in order to carry out an evaluation of the reasonableness and effectiveness of the argument. On practice, this re...