http://www.cnr.it/ontology/cnr/individuo/prodotto/ID286990
The IMAGACT Visual Ontology. an Extendable Multilingual Infrastructure for the Representation of Lexical Encoding of Action (Contributo in atti di convegno)
- Type
- Label
- The IMAGACT Visual Ontology. an Extendable Multilingual Infrastructure for the Representation of Lexical Encoding of Action (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Alternative label
Massimo Moneglia, Susan Brown, Francesca Frontini, Gloria Gagliardi, Fahad Khan, Monica Monachini and Alessandro Panunzi (2014)
The IMAGACT Visual Ontology. an Extendable Multilingual Infrastructure for the Representation of Lexical Encoding of Action
in 9th International Conference on Language Resources and Evaluation, LREC 2014, Reykjavik, Iceland, 26-31 may
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Massimo Moneglia, Susan Brown, Francesca Frontini, Gloria Gagliardi, Fahad Khan, Monica Monachini and Alessandro Panunzi (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.lrec-conf.org/proceedings/lrec2014/index.html (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- - CNR-ILC
- University of Florence
Piazza Savonarola 1, Florence (Italy)
E-mail: moneglia@unifi.it, susanwbrown@att.net, francescafrontini@gmail.com, gloria.gagliardi@gmail.com, anasfkhan81@gmail.com, monica.monachini@ilc.cnr.it, alessandro.panunzi@unifi.it (literal)
- Titolo
- The IMAGACT Visual Ontology. an Extendable Multilingual Infrastructure for the Representation of Lexical Encoding of Action (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-2-9517408-8-4 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, S. Piperidis (literal)
- Abstract
- Action verbs have many meanings, covering actions in different ontological types. Moreover, each language categorizes action in its own way. One verb can refer to many different actions and one action can be identified by more than one verb. The range of variations within and across languages is largely unknown, causing trouble for natural language processing tasks. IMAGACT is a corpus-based ontology of action concepts, derived from English and Italian spontaneous speech corpora, which makes use of the universal language of images to identify the different action types extended by verbs referring to action in English, Italian, Chinese and Spanish. This paper presents the infrastructure and the various linguistic information the user can derive from it. IMAGACT makes explicit the variation of meaning of action verbs within one language and allows comparisons of verb variations within and across languages. Because the action concepts are represented with videos, extension into new languages beyond those presently implemented in IMAGACT is done using competence-based judgments by mother-tongue informants without intense lexicographic work involving underdetermined semantic description (literal)
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