@inproceedings{ce0670ab5959448ebe19c06a04b0b211,
title = "Are wikipedia resources useful for discovering answers to list questions within web snippets?",
abstract = "This paper presents LiSnQA, a list question answering system that extracts answers to list queries from the short descriptions of web-sites returned by search engines, called web snippets. LiSnQA mines Wikipedia resources in order to obtain valuable information that assists in the extraction of these answers. The interesting facet of LiSnQA is, that in contrast to current systems, it does not account for lists in Wikipedia, but for its redirections, categories, sandboxes, and first definition sentences. Results show that these resources strengthen the answering process.",
keywords = "Distinct answers, List questions, Question answering, Web mining",
author = "Alejandro Figueroa",
year = "2009",
doi = "10.1007/978-3-642-01344-7_13",
language = "English",
isbn = "9783642013430",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "174--185",
booktitle = "Web Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers",
note = "4th International Conference on Web Information Systems and Technologies, WEBIST 2008 ; Conference date: 04-05-2008 Through 07-05-2008",
}