http://www.cnr.it/ontology/cnr/individuo/prodotto/ID41947
Multimodal sentence similarity in human-computer interaction systems (Articolo in rivista)
- Type
- Label
- Multimodal sentence similarity in human-computer interaction systems (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-540-74827-4_51 (literal)
- Alternative label
Ferri Fernando, Grifoni Patrizia, Paolozzi Stefano (2007)
Multimodal sentence similarity in human-computer interaction systems
in Lecture notes in computer science; Springer-Verlag, Berlin Heidelberg (Germania)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Ferri Fernando, Grifoni Patrizia, Paolozzi Stefano (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/chapter/10.1007%2F978-3-540-74827-4_51#page-1 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- Volume Title: Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007 . XVII Italian Workshop on Neural Networks . Vietri sul Mare, Italy, September 12-14, 2007 . Proceedings, Part II (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopus (literal)
- ISI Web of Science (WOS) (literal)
- Google Scholar (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Ferri Fernando, Grifoni Patrizia, Paolozzi Stefano: IRPPS-CNR (literal)
- Titolo
- Multimodal sentence similarity in human-computer interaction systems (literal)
- Abstract
- Human-to-human conversation remain such a significant part of our
working activities because its naturalness. Multimodal interaction systems
combine visual information with voice, gestures and other modalities to provide
flexible and powerful dialogue approaches. The use of integrated multiple input
modes enables users to benefit from the natural approach used in human
communication. However natural interaction approaches may introduce interpretation
problems. This paper proposes a new approach to match a multimodal
sentence with a template stored in a knowledge base to interpret the multimodal
sentence and define the multimodal templates similarity. We have assumed to
map each multimodal sentence to the natural language one. The system then
provides the exact/approximate interpretation according to the template
similarity level. (literal)
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