TETI: a TimeML Compliant TimEx Tagger for Italian

In this paper we will present an ongoing research on the development of a temporal expression tagger and normalizer for Italian, compliant with the TimeML specifications. Similarly to other existing temporal expression taggers, the system is rule-based and benefits from an extensive corpus study to identify the reserved time words. However, it differs from other systems since it implements WordNet-based semantic relations between temporal expressions in order to improve its accuracy. So far, the system reports an F-measure of 86.41% for the subtask of temporal expression detection and bracketing

an efficient context free parser for augmented phrase structure grammars

In this paper we present an efficient context-free (CF) bottom-up, non deterministic parser. It is an extension of the ICA (Immediate Constituent Analysis) parser proposed by Grishman (1976), and its major improvements are described.It has been designed to run Augmented Phrase-Structure Grammars (APSG) and performs semantic interpretation in parallel with syntactic analysis.It has been implemented in Franz Lisp and runs on VAX 11/780 and, recently, also on a SUN workstation, as the main component of a transportable Natural Language Interface (SAIL = Sistema per l'Analisi e l'Interpretazione del Linguaggio). Subsets of grammars of italian written in different formalisms and for different applications have been experimented with SAIL. In particular, a toy application has been developed in which SAIL has been used as interface to build a knowledge base in MRS (Genesereth et al. 1980, Genesereth 1981) about ski paths in a ski environment, and to ask for advice about the best touristic path under specific weather and physical conditions

The Morphosyntactic Analyser for Italian

Documentation on MIRA, the natural language front-end for Italia

Derivazione lessicale in italiano: passi verso la creazione di un modello computazionale

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Semantica e pragmatica del linguaggio naturale. Seminario di linguistica applicata

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