6 December 2017, Workshop:Grammars, Computation and Cognition. A workshop honouring the scientific legacy of Remko Scha
The field of computational linguistics has made much progress in developing models of syntactic and semantic parsing. With current models we can compute with great accuracy and speed the constituency and dependency structure of sentences, predict semantic roles and sentiment, or derive representations that allow us to retrieve and infer facts, summarize text and translate into other languages. However, do these technological advances also yield a better understanding of how language is learned and processed by humans? In this workshop we discuss recent developments in using parsing models for analyzing empirical data from psycholinguistics and brain imaging, developments in rich parsing models that do justice to intricate structural properties of natural languages and unsolved challenges from these domains.