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

Salvatore Gaglio, Giorgio Vassallo, Giovanni Pilato, Salvatore Gaglio, Agnese Augello

Risultato della ricerca: Articlepeer review

Abstract

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.
Lingua originaleEnglish
pagine (da-a)42-51
RivistaLECTURE NOTES IN COMPUTER SCIENCE
Volume4692
Stato di pubblicazionePublished - 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
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