Tutorials

Vulic

Linguistic Typology and Computational Language Learning, Cross-Lingual NLP

Ivan Vulic
University of Cambridge, UK

https://sites.google.com/site/ivanvulic/

Abstract: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Ioannis

Deep Learning, NLG and Dialogue

Konstas Ioannis
Heriot Watt University, UK

http://www.ikonstas.net/ Mail: i.konstas@hw.ac.uk

Abstract: Abstract: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Chrupała

Analysis of representations emerging in multilayer recurrent neural networks

Grzegorz Chrupała
Tilburg University, Netherlands

http://grzegorz.chrupala.me/ Mail: g.a.chrupala@uvt.nl

Abstract: Abstract: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Zanzotto

Introduction to Distributed Representations in NLP

Fabio Massimo Zanzotto
Univ. Roma, Tor Vergata

http://art.uniroma2.it/zanzotto/

Possible Structure: Distributed models of word meaning (count-based and language modelling), text and sense embeddings, BERT-like representations, Models of compositionality in DSM (addition, multiplication etc.). Data-driven metrics for Similarity.