6533b870fe1ef96bd12cf25c
RESEARCH PRODUCT
Wordnet and semidiscrete decomposition for sub-symbolic representation of words
Giovanni PilatoSalvatore GaglioSalvatore GaglioGiorgio Vassallosubject
Information retrievalComputer sciencebusiness.industryWordNetDecomposition (computer science)Artificial intelligenceRepresentation (mathematics)computer.software_genrebusinessLexical databasecomputerNatural language processingMatrix decompositiondescription
A methodology for sub-symbolic semantic encoding of words is presented. The methodology uses the standard, semantically highly-structured WordNet lexical database and the SemiDiscrete matrix Decomposition to obtain a vector representation with low memory requirements in a semantic n-space. The application of the proposed algorithm over all the WordNet words would lead to a useful tool for the sub-symbolic processing of texts.
year | journal | country | edition | language |
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2009-03-06 |