Mining Wikipedia for Discovering Multilingual Definitions on the Web

Author

Figueroa, Alejandro

Author_Institution

German Centre for Artificial Intell., Saarbrucken, Germany

fYear

2008

fDate

3-5 Dec. 2008

Firstpage

125

Lastpage

132

Abstract

Ml-DfWebQA is a multilingual definition question answering system (QAS) that extracts answers to definition queries from the short descriptions of web-sites returned by search engines, called web snippets. These answers are discriminated on the ground of lexico-syntactic regularities mined from multilingual resources supplied by wikipedia. Results support that these regularities serve to significantly strengthen the answering process. In addition, Ml-DfWebQA increases the robustness of multilingual definition QASs by making use of aliases found in wikipedia.

Keywords

data mining; Web; discovering multilingual definitions; mining wikipedia; question answering system; search engines; web snippets; Artificial intelligence; Biographies; Data mining; Frequency; Natural languages; Robustness; Search engines; Target tracking; Terminology; Wikipedia; Definition; Definitions; definition patterns; definition questions; mining wikipedia; question answering; question answering on the web; web question answering; wikipedia;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3401-5

Electronic_ISBN

978-0-7695-3401-5

Type

conf

DOI

10.1109/SKG.2008.36

Filename

4725905