6533b827fe1ef96bd1285922

RESEARCH PRODUCT

Geometric Algebra Rotors for Sub-Symbolic Coding of Natural Language Sentences

Agnese AugelloGiovanni PilatoGiorgio VassalloSalvatore Gaglio

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniLatent Semantic AnalysisInformationSystems_INFORMATIONSTORAGEANDRETRIEVALGeometric Algebra RotorsGeometric Algebra Rotors Latent Semantic Analysis

description

A sub-symbolic encoding methodology for natural language sentences is presented. The procedure is based on the creation of an LSA-inspired semantic space and associates rotation operators derived from Geometric Algebra to word bigrams of the sentence. The operators are subsequently applied to an orthonormal standard basis of the created semantic space according to the order in which words appear in the sentence. The final rotated basis is then coded as a vector and its orthogonal part constitutes the sub-symbolic coding of the sentence. Preliminary experimental results for a classification task, compared with the traditional LSA methodology, show the effectiveness of the approach.

yearjournalcountryeditionlanguage
2007-01-01
http://www.cnr.it/prodotto/i/14507