CONTENT

Content Across Domains: From Words to Discourse

Coordinatore	UNIVERSITE PAUL SABATIER TOULOUSE III    more  Organization address address: ROUTE DE NARBONNE 118 city: TOULOUSE CEDEX 9 postcode: 31062 contact info Titolo: Mrs. Nome: Carole Cognome: Matthia Email: send email Telefono: +33 5 61 55 66 04 Fax: +33 5 61 55 73 13
Nazionalità Coordinatore	France [FR]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2013-CIG
Funding Scheme	MC-CIG
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-09-01   -   2017-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITE PAUL SABATIER TOULOUSE III  Organization address address: ROUTE DE NARBONNE 118 city: TOULOUSE CEDEX 9 postcode: 31062 contact info Titolo: Mrs. Nome: Carole Cognome: Matthia Email: send email Telefono: +33 5 61 55 66 04 Fax: +33 5 61 55 73 13	FR (TOULOUSE CEDEX 9)	coordinator	100˙000.00

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'My project proposes to combine the strengths of traditional linguistics (in particular formal semantics) and natural language processing in computer science in order to develop more sophisticated theories of semantic content at the word, sentence and discourse level. Methodologically, it aims at enlarging the set of theoretical tools both in formal semantics and in computational (distributive) semantics. It is hoped that by developing novel methods towards semantic content and by building bridges with the computer science community my research can open new theoretical perspectives as well as contribute to the development of further technical advances in the field of natural language processing. Such innovations could help various natural language tasks become much more efficient and thus might have a significant impact for a number of automatic language processing tasks as well as information retrieval.'