In this paper we present the results of the evaluation of an automatic mapping between two lexical resources, WordNet/ItalWordNet and ImagAct, a conceptual ontology of action types instantiated by video scenes. Results are compared with those obtained from a previous experiment performed only on Italian data. Differences between the two evaluation strategies, as well as between the quality of the mappings for the two languages considered in this paper, are iscussed
The article deals with the difficulty of translating Italian action verbs into German. In an empiric...
Lexical resources are basic components of many text processing system devoted to information extract...
This paper presents a vector representation and a clustering of action concepts based on lexical fea...
Action verbs have many meanings, covering actions in different ontological types. Moreover, each lan...
Action verbs express important information in a sentence and they are the most frequent elements in ...
none7siNegli ultimi venti anni dizionari e risorse lessicografiche come WordNet sono stati arricchit...
Action verbs express important information in a sentence and they are the most frequent elements in ...
IMAGACT is a corpus-based ontology of action concepts, derived from English and Italian spontaneous ...
1noThe paper presents IMAGACT, a freely accessible online ontology of action verbs. Based on corpora...
none6Action verbs are the less predictable linguistic type for bilingual dictionaries and they cause...
Action verbs, which are highly frequent in speech, cause disambiguation problems that are relevant t...
none6This paper presents the IMAGACT annotation infrastructure which uses both corpus-based and comp...
The article deals with the difficulty of translating Italian action verbs into German. In an empiric...
Lexical resources are basic components of many text processing system devoted to information extract...
This paper presents a vector representation and a clustering of action concepts based on lexical fea...
Action verbs have many meanings, covering actions in different ontological types. Moreover, each lan...
Action verbs express important information in a sentence and they are the most frequent elements in ...
none7siNegli ultimi venti anni dizionari e risorse lessicografiche come WordNet sono stati arricchit...
Action verbs express important information in a sentence and they are the most frequent elements in ...
IMAGACT is a corpus-based ontology of action concepts, derived from English and Italian spontaneous ...
1noThe paper presents IMAGACT, a freely accessible online ontology of action verbs. Based on corpora...
none6Action verbs are the less predictable linguistic type for bilingual dictionaries and they cause...
Action verbs, which are highly frequent in speech, cause disambiguation problems that are relevant t...
none6This paper presents the IMAGACT annotation infrastructure which uses both corpus-based and comp...
The article deals with the difficulty of translating Italian action verbs into German. In an empiric...
Lexical resources are basic components of many text processing system devoted to information extract...
This paper presents a vector representation and a clustering of action concepts based on lexical fea...