1,721,366 research outputs found
Linguistica computazionale. Strumenti e risorse per il trattamento automatico della lingua
No full textLe ricerche sul Trattamento Automatico della Lingua hanno aperto nuove prospettive per la creazione di applicazioni per l’accesso intelligente al contenuto digitale. Gli sviluppi più significativi riguardano in particolare i sistemi per l’analisi “robusta” del testo, i metodi per l’acquisizione automatica di conoscenza dai documenti e le infrastrutture per lo sviluppo e gestione di risorse linguistiche di grandi dimensioni. Grazie alla loro integrazione è oggi possibile realizzare modelli e strumenti per il trattamento della lingua utilizzabili in contesti operativi reali
SIMPLE: Plurilingual Semantic Lexicons for Natural Language Processing
No full textOne of the main challenges for computational lexical semantics is to bridge the gap between on the one hand theoretical research on the organization of the lexicon and on the formal representation of word meaning, and on the other hand the increasing request by natural language processing systems of accessing large repositories of lexical knowledge. Starting from some recent extensions of Generative Lexicon theory, we present a general model for the development of a set of large-scale lexical resources developed in the context of the SIMPLE project. SIMPLE is an innovative attempt to build harmonized syntactic-semantic lexicons for twelve European languages, aimed at use in different Human Language Technology applications. SIMPLE provides a general design model for the encoding of a large amount of semantic information, spanning from ontological typing, to argument structure and terminology
La qualità educativa e didattica nella scuola dell’infanzia. Dalle procedure di valutazione alla formazione in servizio
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From text to Content. Computational Lexicons and the Semantic Web
No full textThe vision of the Semantic Web is to turn the World Wide Web
into a machine-understandable knowledge base. According to this view, Web content is annotated with respect to particular ontologies, which provide the definition of the basic vocabulary and semantics of the annotations. In this paper we
will argue that strengthening the synergies between ontology design and computational lexicon development is a key precondition for the Semantic Web and HLT communities to truly benefit of each other’s results
Generative Lexicon and the SIMPLE Model: Developing Semantic Resources for NLP
No full textIn this paper, we present recent extensions of Generative Lexicon theory (Pustejovsky, 1995; Pustejovsky, 1998) in the context of the development of large-scale lexical resources for twelve different European languages: the SIMPLE model.
The development of lexical resources must be guided by an underlying framework for structuring word meaning and generating concepts, which satisfies both onto logical considerations as well as the need to capture linguistic generalizations. The model presented here is a proposal toward this goal
Content Interoperability of Lexical Resources: Open Issues and "MILE" Perspectives
No full textThe paper tackles the issue of content interoperability among lexical resources, by presenting an experiment of mapping differently
conceived lexicons, FrameNet and NOMLEX, onto MILE (Multilingual ISLE Lexical Entry), a meta-entry for the encoding of
multilingual lexical information, acting as a general schema of shared and common lexical objects. The aim is to (i) raise problems and (ii) test the expressive potentialities of MILE as a standard environment for Computational Lexicons
Towards a Language Infrastructure for the Semantic Web
No full textIn recent years, the Internet evolved from a global medium for information exchange (directed mainly towards human users) into a "global, virtual work environment" (for both human users and machines). Building on the world-wide-web, developments such as grid technology, web services and the semantic web contributed to this transformation, the implications of which are now slowly but clearly being integrated into all areas of the new digital society (e-business, e-government, e-science, etc.) In this conctext the semantic web allows for increasingly intelligent and therefore autonomous processing. This development brings new challenges for Human Language Technology (HLT), which require not only some adaptation of processes within the state of the art processing chain of HLT, but also changes at the infrastructure level of HLT resources
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