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CLEF
2006
Springer
15 years 1 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...
JAPLL
2007
86views more  JAPLL 2007»
14 years 10 months ago
Using logical relevance for question answering
We propose a novel method of determining the appropriateness of an answer to a question through a proof of logical relevance rather than a logical proof of truth. We define logic...
Marco De Boni
CLEF
2008
Springer
14 years 12 months ago
Combining Logic and Machine Learning for Answering Questions
Abstract. LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen....
Ingo Glöckner, Björn Pelzer
LOGCOM
2008
104views more  LOGCOM 2008»
14 years 10 months ago
Testing the Reasoning for Question Answering Validation
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
Anselmo Peñas, Álvaro Rodrigo, Valen...
LREC
2008
108views Education» more  LREC 2008»
14 years 11 months ago
Creating a Research Collection of Question Answer Sentence Pairs with Amazon's Mechanical Turk
Each year NIST releases a set of question, document id, answer-triples for the factoid questions used in the TREC Question Answering track. While this resource is widely used and ...
Michael Kaisser, John Lowe