Title :
Mining Wikipedia for Discovering Multilingual Definitions on the Web
Author :
Figueroa, Alejandro
Author_Institution :
German Centre for Artificial Intell., Saarbrucken, Germany
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;
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
DOI :
10.1109/SKG.2008.36
