6533b870fe1ef96bd12cf25c

RESEARCH PRODUCT

Wordnet and semidiscrete decomposition for sub-symbolic representation of words

Giovanni PilatoSalvatore GaglioSalvatore GaglioGiorgio Vassallo

subject

Information retrievalComputer sciencebusiness.industryWordNetDecomposition (computer science)Artificial intelligenceRepresentation (mathematics)computer.software_genrebusinessLexical databasecomputerNatural language processingMatrix decomposition

description

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.

10.1007/1-4020-3432-6_23https://publications.cnr.it/doc/186095