ERC Advanced Grant · 2016
Form-Independent Semantics for Natural Language Understanding
The project addresses the most important open problem in NLP, to develop a robust semantics that is invariant across different linguistic forms within a language and across languages, and embodies aspects of common-sense knowledge. It will be derived by machine-learning from machine-reading of vast amounts of text, using an existing state-of-the-art wide-coverage CCG semantic parser developed under previous ERC funding to the PI, initially to build traditional semantic analyses of sentences relating named entities. Patterns of entailment across semantic expressions relating the same named entities will be then detected across other entities of the same types, to construct directed…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.