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CLEF
2006
Springer
13 years 11 months ago
Using Machine Learning and Text Mining in Question Answering
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
Antonio Juárez-González, Alberto T&e...
CLEF
2005
Springer
14 years 1 months ago
A Full Data-Driven System for Multiple Language Question Answering
Abstract. This paper describes a full data-driven system for question answering. The system uses pattern matching and statistical techniques to identify the relevant passages as we...
Manuel Montes-y-Gómez, Luis Villaseñ...
CLEF
2006
Springer
13 years 11 months ago
Relevance Measures for Question Answering, The LIA at QA@CLEF-2006
This article presents the first participation of the Avignon University Science Laboratory (LIA) to the Cross Language Evaluation Forum (CLEF). LIA participated to the monolingual ...
Laurent Gillard, Laurianne Sitbon, Eric Blaudez, P...
CIKM
2010
Springer
13 years 2 months ago
Modeling betweenness for question answering
The gap between the user's information need and query is expanding due to the pervasiveness of Web search. Multimedia question answering is restricted by disjoint infrastruct...
Brandeis Marshall
ACL
2008
13 years 9 months ago
Collecting a Why-Question Corpus for Development and Evaluation of an Automatic QA-System
Question answering research has only recently started to spread from short factoid questions to more complex ones. One significant challenge is the evaluation: manual evaluation i...
Joanna Mrozinski, Edward W. D. Whittaker, Sadaoki ...