Semantic Parsing for Vietnamese Question Answering System

Autor:	Nguyen Le Minh, Duc Tam Hoang, Vu Xuan Tung
Rok vydání:	2015
Předmět:	Parsing business.industry Computer science Vietnamese Context (language use) computer.software_genre Semantics language.human_language Feature (linguistics) Question answering language S-attributed grammar Artificial intelligence business computer Natural language processing Natural language
Zdroj:	KSE
DOI:	10.1109/kse.2015.42
Popis:	Based on a framework for English, we developed a Vietnamese Question Answering System. The learning paradigm in the framework reduces the burden of providing supervision during semantic parsing. Whilst taking the advantages from this mechanism, we further create our own feature calculation which is suitable for Vietnamese. A method of dynamic learning for feature computation is also presented in this work.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::10e0c4db37073558d62d6eb06ee56bdc https://doi.org/10.1109/kse.2015.42 Zobrazit plný text záznamu