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NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
Feb. 23, 2024, 5:48 a.m. | Ramon Ruiz-Dolz, Joaquin Taverner, John Lawrence, Chris Reed
cs.CL updates on arXiv.org arxiv.org
Abstract: Some of the major limitations identified in the areas of argument mining, argument generation, and natural language argument analysis are related to the complexity of annotating argumentatively rich data, the limited size of these corpora, and the constraints that represent the different languages and domains in which these data is annotated. To address these limitations, in this paper we present the following contributions: (i) an effective methodology for the automatic generation of natural language arguments …
abstract analysis arxiv complexity constraints cs.ai cs.cl data generated language languages limitations major mining multilingual natural natural language rich data type
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