Knowledge-driven argument mining based on the qualia structure

Autor:	Patrick Saint-Dizier
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Electronic computers. Computer science QA75.5-76.95 Computational linguistics. Natural language processing P98-98.5
Zdroj:	Argument & Computation, Vol 8, Iss 2, Pp 193-210 (2017)
Druh dokumentu:	article
ISSN:	1946-2174 1946-2166
DOI:	10.3233/AAC-170124
Popis:	Given a controversial issue, argument mining from texts in natural language is extremely challenging: besides linguistic aspects, domain knowledge is often required together with appropriate forms of inferences to identify arguments. Via the analysis of various corpora, this contribution explores the types of knowledge that are required to develop an efficient argument mining system. We show that the Qualia structure of the Generative Lexicon with some extensions and a specific interpretation has some expressive capabilities which are appropriate for this task.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e3df4e17da594419a3691d38875bfd3a Zobrazit plný text záznamu View record in DOAJ