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Artificial neural networks play an important role in machine learning and cognitive sciences. Recent research in the field of natural language processing has shown that deep neural network models are quite brittle and can only model linguistic principles to a limited degree. To build NLP systems that can generalise and work well in practice, it is important to integrate linguistic knowledge into such systems, as well as investigate the ability of current models to capture linguistic phenomena. Ke Tran addresses those two aspects from different angles.

Event details of Predicting linguistic structure with neural networks
Date 30 November 2018
Time 12:00 -13:00
Location Agnietenkapel
Room Location

M.K. Tran: Predicting and Discovering Linguistic Structure with Neural Networks.

Supervisor

Dr C. Monz

Co-supervisor

Dr A. Bisazza

Agnietenkapel

Room Location

Oudezijds Voorburgwal 229 - 231
1012 EZ Amsterdam

Entrance

This event is open to the public.