Loading [a11y]/accessibility-menu.js
Question analysis for Vietnamese legal question answering | IEEE Conference Publication | IEEE Xplore

Question analysis for Vietnamese legal question answering


Abstract:

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 ...Show More

Abstract:

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.
Date of Conference: 19-21 October 2017
Date Added to IEEE Xplore: 23 November 2017
ISBN Information:
Conference Location: Hue, Vietnam

References

References is not available for this document.