Question analysis for Vietnamese legal question answering
| Autor: | Tu Minh Phuong, Ngo Xuan Bach, Le Thi Ngoc Cham, Tran Ha Ngoc Thien |
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| Rok vydání: | 2017 |
| Předmět: |
Closed-ended question
Computer science business.industry Vietnamese 06 humanities and the arts 02 engineering and technology 0603 philosophy ethics and religion computer.software_genre Sequence labeling language.human_language Domain (software engineering) Action (philosophy) 0202 electrical engineering electronic engineering information engineering language Question answering 020201 artificial intelligence & image processing 060301 applied ethics Artificial intelligence Precision and recall business computer Natural language processing Natural language |
| Zdroj: | KSE |
| Popis: | This paper presents a study on analyzing questions in legal domain for Vietnamese language, which is an important step in building an automated question answering system for the domain. We focus on questions about transportation law — the law with arguably the largest number of violations and thus is the most asked about. Given a legal question in natural language, our goal is to extract important information such as Type of Vehicle, Action of Vehicle, Location, and Question Type. We model the question analysis task as a sequence labeling problem and present a CRF-based method to deal with it. Experimental results on a corpus consisting of 1678 Vietnamese questions show that our method can extract 16 types of information with high precision and recall. |
| Databáze: | OpenAIRE |
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