Objetivo "Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natural languages and the wide range of contextual dependencies required to resolve them. Discovering the semantics behind language input is necessary for proper interpretation in interactive tools, which requires an abstraction from language-specific forms to language-independent meaning representations. With this project, I propose a line of research that will focus on the development of novel data-driven models that can learn such meaning representations from indirect supervision provided by human translations covering a substantial proportion of the linguistic diversity in the world. A guiding principle is cross-lingual grounding, the effect of resolving ambiguities through translation. The beauty of that idea is the use of naturally occurring data instead of artificially created resources and costly manual annotations. The framework is based on deep learning and neural machine translation and my hypothesis is that training on increasing amounts of linguistically diverse data improves the abstractions found by the model. Eventually, this will lead to universal sentence-level meaning representations and we will test our ideas with multilingual machine translation and tasks that require semantic reasoning and inference." Ámbito científico humanitieslanguages and literaturelinguisticsnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning Palabras clave computational linguistics distributional semantics representation learning machine translation deep learning artificial neural networks Programa(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Tema(s) ERC-2017-COG - ERC Consolidator Grant Convocatoria de propuestas ERC-2017-COG Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-COG - Consolidator Grant Institución de acogida HELSINGIN YLIOPISTO Aportación neta de la UEn € 1 817 622,00 Dirección YLIOPISTONKATU 3 00014 Helsingin Yliopisto Finlandia Ver en el mapa Región Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 817 622,00 Beneficiarios (1) Ordenar alfabéticamente Ordenar por aportación neta de la UE Ampliar todo Contraer todo HELSINGIN YLIOPISTO Finlandia Aportación neta de la UEn € 1 817 622,00 Dirección YLIOPISTONKATU 3 00014 Helsingin Yliopisto Ver en el mapa Región Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 1 817 622,00