Paper Info
Title
The IMAGACT Visual Ontology. An Extendable Multilingual Infrastructure for the representation of lexical encoding of Action.
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.
Year
Venue
Keywords
2014
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Action ontology,Semantic variation,Visual representation
Field
DocType
Citations 
Ontology,Information retrieval,Computer science,Artificial intelligence,Natural language processing,Encoding (memory)
Conference
0
PageRank 
References 
Authors
0.34
1
7
Name
Order
Citations
PageRank
Massimo Moneglia1347.05
Susan Brown200.34
Francesca Frontini34517.89
Gloria Gagliardi442.18
Fahad Khan51588.26
Monica Monachini6486.03
Alessandro Panunzi7326.29