Sub-Symbolic Knowledge Representation for Evocative Chat-bots

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

Risultato della ricerca: Chapter

1 Citazioni (Scopus)

Abstract

The proposed work illustrates how “primitive concepts”can be automatically induced from a text corpus. The pri-mitive concepts are identified by the orthonormal axis of a“conceptual” space induced by a methodology inspired tothe Latent Semantic Analysis approach. The methodologyrepresents a natural language sentence by means of a setof rotations of an orthonormal basis in the “conceptual”space. The rotations, triggered by the sequence of wordscomposing the sentence and realized by means of Geomet-ric Algebra rotors, allow to highlight “conceptual” rela-tions that can arise among the primitive concepts.
Lingua originaleEnglish
Titolo della pubblicazione ospiteInterdisciplinary Aspects of Information Systems Studies
Pagine343-349
Numero di pagine6
Stato di pubblicazionePublished - 2008

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.2000.2000???
  • ???subjectarea.asjc.1400.1400???

Fingerprint Entra nei temi di ricerca di 'Sub-Symbolic Knowledge Representation for Evocative Chat-bots'. Insieme formano una fingerprint unica.

Cita questo