Iryna Gurevych (Technische Universität Darmstadt)

Jose Luis Alba Castro - Carmen García Mateo (University of Vigo)

Heidi Christensen (University of Sheffield)

Ricardo Baeza-Yates (Northeastern University)

Biases on Social Media (February 11th at 15:00 pm CET)

Summary:
Is social media data representative? If not, what are their biases? Can we mitigate those biases and make them representative? Does all this depend on the language? Can word embeddings help? We will answer partially all these questions with concrete use cases.
Video

Kyunghyun Cho (NYU)

Unreasonably Shallow Deep Learning (January 29, 2021, 17:30 CET) 

Summary:
The talk will be about some gotcha's in Deep Learning.
Video  PDF

Eduard Hovy (CMU)

The Birth of a New NLP Centre: Making the Most of a Newborn Technology (2020/11/05)     

Summary:
Natural Language Processing (NLP) is at a very exciting time in its history. In the last 5 years a new technology has revolutionized the way we do our work. Even without special adaptation it tends to work better than almost every prior method, and yet we still don't really know how it works! So this is also a dangerous time: how can you trust a system that might (and sometimes does) do very strange things for which you can find no explanation or correction? In such a situation it is not a bad idea to look at the history of NLP, what NLP is at its core, and how the new technology fits into the NLP landscape. And, most importantly, where NLP is going (with or without this new technology) and how we can best prepare for it. The HiTZ Centre has a wonderful opportunity to help shape a future in which NLP will be as ubiquitous and as useful as the cellphone.
Video