Linking Objects to Vectors in distributional semantics: A framework to anchor corpus-based meaning representations to the external world

Información del proyecto

LOVe

Identificador del acuerdo de subvención: 655577

DOI

10.3030/655577

Proyecto finalizado el 31 Diciembre 2016

Fecha de la firma de la CE 25 Marzo 2015

Fecha de inicio 1 Junio 2015

Fecha de finalización 31 Mayo 2017

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 180 277,20

Aportación de la UE

€ 180 277,20

Coordinado por

UNIVERSITA DEGLI STUDI DI TRENTO
Italy

Objetivo

Language mediates between concepts in our mind and the things they refer to in the world. Semantic theories are typically biased towards conceptual or referential aspects. My goal is to develop a theory of meaning that takes both aspects into account, and is supported by computational modelling experiments, so that it will also enable computers to match linguistic expressions with entities in the world. This is a highly interdisciplinary proposal that will bring computational linguistics, artificial intelligence, and theoretical linguistics forward.

My model is based on distributional semantics, a scalable and flexible approach to computational semantics that, by inducing meaning representations from naturally occurring data with statistical methods, can model large portions of the lexicon and account for nuances in meaning that pose difficulties to traditional semantic theories. Distributional semantics has so far largely eschewed the reference issue, by testing its models on language-internal tasks. The project bridges this language-world gap, and integrates the distributional framework into a referential semantic theory. The project promises to advance our scientific understanding of language, a defining trait of the human species, and to make significant progress towards building computers we can talk to, with the ensuing strong impact on our everyday lives.

Even though I am an established researcher in computational semantics and also contributed to semantic theory, I still need to fully develop my own line of research to become a leading, independent researcher in Europe. Carrying out the present proposal at the University of Trento CLIC laboratory will be a fundamental step towards achieving my goal, since CLIC is a world leader in distributional semantics. Conversely, my unique profile, addressing theoretical linguistic questions through computational means, will fill a gap in the lab, widening the scope and outreach of the research conducted at CLIC.

Ámbito científico (EuroSciVoc)

• humanidades › lenguas y literatura › lingüística
• ciencias naturales › informática y ciencias de la información › internet
• ciencias naturales › informática y ciencias de la información › base de datos
• ciencias naturales › informática y ciencias de la información › inteligencia artificial › aprendizaje automático › aprendizaje profundo

Palabras clave

• distributional semantics
• computational semantics
• corpus-based methods
• lexical semantics
• semantic theory
• reference
• grounding
• computational linguistics
• natural language processing

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)
  

Régimen de financiación

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Convocatoria de propuestas

H2020-MSCA-IF-2014

Coordinador

UNIVERSITA DEGLI STUDI DI TRENTO

• Aportación neta de la UEn: € 180 277,20
• Dirección: VIA CALEPINA 14 ; 38122 TRENTO ; Italia
• Región: Nord-Est › Provincia Autonoma di Trento › Trento
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 180 277,20