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» A Noisy-Channel Approach to Question Answering
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LREC
2010
131views Education» more  LREC 2010»
13 years 8 months ago
MACAQ : A Multi Annotated Corpus to Study how we Adapt Answers to Various Questions
This paper presents a new corpus of human answers in natural language. The answers were collected in order to build a base of examples useful when generating natural language answ...
Anne Garcia-Fernandez, Sophie Rosset, Anne Vilnat
NAACL
2003
13 years 8 months ago
In Question Answering, Two Heads Are Better Than One
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
TREC
2007
13 years 7 months ago
IITD-IBMIRL System for Question Answering Using Pattern Matching, Semantic Type and Semantic Category Recognition
A Question Answering (QA) system aims to return exact answers to natural language questions. While today information retrieval techniques are quite successful at locating within l...
Ashish Kumar Saxena, Ganesh Viswanath Sambhu, Saro...
WWW
2004
ACM
14 years 7 months ago
Self-learning web question answering system
While being quite successful in providing keyword based access to web pages, commercial search portals, such as Google, Yahoo, AltaVista, and AOL, still lack the ability to answer...
Dmitri Roussinov, Jose Antonio Robles-Flores
LREC
2008
123views Education» more  LREC 2008»
13 years 8 months ago
Answering List Questions using Co-occurrence and Clustering
Although answering list questions is not a new research area, answering them automatically still remains a challenge. The median F-score of systems that participated in TREC 2007 ...
Majid Razmara, Leila Kosseim