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» Using Machine Learning and Text Mining in Question Answering
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ACL
2009
13 years 6 months ago
Learning foci for Question Answering over Topic Maps
This paper introduces the concepts of asking point and expected answer type as variations of the question focus. They are of particular importance for QA over semistructured data,...
Alexander Mikhailian, Tiphaine Dalmas, Rani Pinchu...
CIKM
2008
Springer
13 years 10 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti
AIMSA
2004
Springer
14 years 1 months ago
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
Jae-Hong Eom, Byoung-Tak Zhang
FLAIRS
2000
13 years 10 months ago
Mining Textual Answers with Knowledge-Based Indicators
This paper describes a knowledge-based methodologyof miningtextual answersinto large collections of texts. Wepresent SOMBRERO,a knowledge processing module implemented in the LASS...
Sanda M. Harabagiu, Marius Pasca
CIKM
2010
Springer
13 years 7 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...