Automatic LSA-Based Retrieval of Synonyms (for Search Space Extension)

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 156)

Abstract

This paper describes a research, experiments, and theoretical considerations leading towards automatic computational thesaurus construction based upon identification of synonyms in large sets of texts for the needs of question-answering (QA) systems. The method benefits from and is founded on Latent Semantic Analysis (LSA) technique. LSA serves as a hypothesis generator which produces hypotheses about the words that might be synonyms. Subsequently, the generated hypotheses are proven right or wrong by means of examination of morphologic bindings between the two words and of the overall syntactic structure of the context in which they appear, namely the subject-object relation. The retrieved synonyms are used to extend the search space where a QA system mines the answers.

Keywords

Latent Semantic Anal Question Answering Question Answering System Search Phrase Synonym Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Laboratory of Intelligent Communication Systems, Dept. of Computer Science and EngineeringUniversity of West BohemiaPlzeňCzech Republic
  2. 2.Text-Mining Research Group, Dept. of Computer Science and EngineeringUniversity of West BohemiaPlzeňCzech Republic

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