TY - GEN
T1 - Mining wikipedia resources for discovering answers to list questions in web snippets
AU - Figueroa, Alejandro
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=60749098580&partnerID=8YFLogxK
U2 - 10.1109/SKG.2008.31
DO - 10.1109/SKG.2008.31
M3 - Conference contribution
AN - SCOPUS:60749098580
SN - 9780769534015
T3 - Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
SP - 133
EP - 140
BT - Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
T2 - 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
Y2 - 3 December 2008 through 5 December 2008
ER -