6533b829fe1ef96bd128a1ca

RESEARCH PRODUCT

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

Salvatore GaglioGiovanni PilatoAgnese AugelloGiorgio Vassallo

subject

Computer sciencebusiness.industryLatent semantic analysisBigramInformationSystems_INFORMATIONSTORAGEANDRETRIEVALcomputer.software_genreGeometric algebraOrthonormal basisArtificial intelligencebusinesscomputerSentenceNatural language processingNatural languageCoding (social sciences)

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
2007-09-11
https://doi.org/10.1007/978-3-540-74819-9_6