Description

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.

Speakers

Reut Tsarfaty (The Open University of Israel)
Afra Alishahi (University of Tilburg)
Andreas van Cranenburgh (Heinrich Heine Universität Düsseldorf)
Raquel Alhama (BCBL San Sebastian)
Stefan Frank (Radboud University Nijmegen)
Khalil Sima'an (University of Amsterdam)
Daniel Wiechmann (University of Amsterdam)

Registration

The registration for the workshop is closed.

Workshop organisers

Willem Zuidema & Dieuwke Hupkes (University of Amsterdam)

Schedule