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.
|Titolo della pubblicazione ospite||Interdisciplinary Aspects of Information Systems Studies|
|Numero di pagine||6|
|Stato di pubblicazione||Published - 2008|
All Science Journal Classification (ASJC) codes
- Economics, Econometrics and Finance(all)
- Business, Management and Accounting(all)
Gaglio, S., Vassallo, G., Pilato, G., Gaglio, S., & Augello, A. (2008). Sub-Symbolic Knowledge Representation for Evocative Chat-bots. In Interdisciplinary Aspects of Information Systems Studies (pagg. 343-349)