Using Abstraction Level in Question Answering System

Bei Xu, Xiaodong Wang, Hai Zhuge

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

Traditional question answering systems extract answers in terms of the relevance between answer and question. However, when there are multiple relevant answers to a question, people usually use other dimensions besides relevance to select answers. Abstraction level is a frequently used dimension to distinguish general answer and specific answer. Previous question answering systems seldom consider the dimension. This paper proposes a way to calculate the abstraction level of answer. Experiments show that abstraction level can improve question answering in certain situations.

Original languageEnglish
Title of host publicationProceedings - 2018 14th International Conference on Semantics, Knowledge and Grids, SKG 2018
PublisherIEEE
Pages253-256
Number of pages4
ISBN (Electronic)9781728104416
DOIs
Publication statusPublished - 2 May 2019
Event14th International Conference on Semantics, Knowledge and Grids, SKG 2018 - Guangzhou, China
Duration: 12 Sep 201814 Sep 2018

Publication series

Name2018 14th International Conference on Semantics, Knowledge and Grids (SKG)
PublisherIEEE
ISSN (Print)2325-0623

Conference

Conference14th International Conference on Semantics, Knowledge and Grids, SKG 2018
CountryChina
CityGuangzhou
Period12/09/1814/09/18

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