Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction
This work presents an approach decomposing propositions into four functional components and identify the patterns linking those components to determine argument structure. The entities addressed by a proposition are target concepts and the features selected to make a point about the target concepts are aspects. A line of reasoning is followed by providing evidence for the points made about the target concepts via aspects. Opinions on target concepts and opinions on aspects are used to support or attack the ideas expressed by target concepts and aspects. The relations between aspects, target concepts, opinions on target concepts and aspects are used to infer the argument relations. Propositions are connected iteratively to form a graph structure. The approach is generic in that it is not tuned for a specific corpus and evaluated on three different corpora from the literature: AAEC, AMT, US2016G1tv and achieved an F score of 0.79, 0.77 and 0.64, respectively.
Code (0)
등록된 구현이 없습니다.
Tasks
Argument Mininggraph constructionSimilar Papers 제목 키워드 기반
Can Large Language Models perform Relation-based Argument Mining?
Argument mining (AM) is the process of automatically extracting arguments, their components and/or relations amongst arguments and components from text. As the number of platforms supporting online debate increases, the …
Argument MiningRelationA Robustness Evaluation Framework for Argument Mining
Standard practice for evaluating the performance of machine learning models for argument mining is to report different metrics such as accuracy or F1. However, little is usually known about the model’s stability and cons…
Argument MiningSentenceTACAM: Topic And Context Aware Argument Mining
In this work we address the problem of argument search. The purpose of argument search is the distillation of pro and contra arguments for requested topics from large text corpora. In previous works, the usual approach i…
Argument MiningKnowledge GraphsDetecting Arguments in CJEU Decisions on Fiscal State Aid
The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law. For this purpose, we present Demosthenes, a novel corpus for argument mining in legal documents, …
Argument MiningA Dataset Independent Set of Baselines for Relation Prediction in Argument Mining
Argument Mining is the research area which aims at extracting argument components and predicting argumentative relations (i.e.,support and attack) from text. In particular, numerous approaches have been proposed in the l…
Argument MiningPredictionRelationRelation Prediction