ERC Consolidator Grant · 2017
Found in Translation – Natural Language Understanding with Cross-Lingual Grounding
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…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.