Cel "The notion of meaning is central to many areas of Computer Science, Artificial Intelligence (AI), Linguistics, Philosophy, and Cognitive Science. A formal account of the meaning of natural language utterances is crucial to AI, since an understanding of natural language is at the heart of much intelligent behaviour. More specifically, Natural Language Processing (NLP) --- the branch of AI concerned with the automatic processing, analysis and generation of text --- requires a model of meaning for many of its tasks and applications.There have been two main approaches to modelling the meaning of language in NLP. The first, the ``compositional"" approach, is based on classical ideas from Philosophy and Mathematical Logic, and includes formal accounts of how the meaning of a sentence can be determined from the relations of words in a sentence. The second, more recent approach focuses on the meanings of the words themselves. This is the ``distributional"" approach to lexical semantics and is based on the idea that the meanings of words can be determined by considering the contexts in which words appear in text.The ambitious idea in this proposal is to exploit the strengths of the two approaches, by developing a unified model of distributional and compositional semantics, and exploiting it for NLP tasks andapplications. The aim is to make the following fundamental contributions:1. advance the theoretical study of meaning in Linguistics, Computer Science and AI;2. develop new meaning-sensitive approaches to NLP applications which can be robustly applied to naturally occurring text.The claim is that language technology based on ``shallow"" approaches is reaching its performance limit, and the next generation of language technology requires a more sophisticated, but robust, model of meaning, which this project will provide." Dziedzina nauki humanitieslanguages and literaturelinguisticsnatural sciencesmathematicspure mathematicsdiscrete mathematicsmathematical logicnatural sciencescomputer and information sciencesdata sciencenatural language processingsocial sciencespsychologycognitive psychologyhumanitiesphilosophy, ethics and religionphilosophy Program(-y) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Zaproszenie do składania wniosków ERC-2012-StG_20111012 Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-SG - ERC Starting Grant Instytucja przyjmująca THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE Wkład UE € 1 087 930,00 Adres TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge Zjednoczone Królestwo Zobacz na mapie Region East of England East Anglia Cambridgeshire CC Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Stephen Clark (Dr.) Kontakt administracyjny Renata Schaeffer (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE Zjednoczone Królestwo Wkład UE € 1 087 930,00 Adres TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge Zobacz na mapie Region East of England East Anglia Cambridgeshire CC Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Stephen Clark (Dr.) Kontakt administracyjny Renata Schaeffer (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych