TY - GEN
T1 - Learning to rank answers on large online QA collections
AU - Surdeanu, Mihai
AU - Ciaramita, Massimiliano
AU - Zaragoza, Hugo
PY - 2008
Y1 - 2008
N2 - This work describes an answer ranking engine for non-factoid questions built using a large online community-generated question-answer collection (Yahoo! Answers). We show how such collections may be used to effectively set up large supervised learning experiments. Furthermore we investigate a wide range of feature types, some exploiting NLP processors, and demonstrate that using them in combination leads to considerable improvements in accuracy.
AB - This work describes an answer ranking engine for non-factoid questions built using a large online community-generated question-answer collection (Yahoo! Answers). We show how such collections may be used to effectively set up large supervised learning experiments. Furthermore we investigate a wide range of feature types, some exploiting NLP processors, and demonstrate that using them in combination leads to considerable improvements in accuracy.
UR - http://www.scopus.com/inward/record.url?scp=80052136505&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052136505&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80052136505
SN - 9781932432046
T3 - ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference
SP - 719
EP - 727
BT - ACL-08
T2 - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT
Y2 - 15 June 2008 through 20 June 2008
ER -