El centro HiTZ organiza una serie de webinars sobre Tecnología del Lenguaje con charlas de los principales investigadores del área. Esta es la lista de los próximos webinars así como de las grabaciones de los ya celebrados.

Si desea recibir información de los webinars por e-mail rellene sus datos aquí

Si desea asistir al siguiente webinar, rellene sus datos aquí y recibirá el enlace.

próximos webinarios

Iryna Gurevych (Technische Universität Darmstadt)

Let's Argue - Understanding and Generating Natural Language Arguments   (March 4, 2021, 15:00 CET)   

 

Summary:
People love to argue. In recent years, Artificial Intelligence has achieved great advances in modelling natural language argumentation. While analysing and creating arguments is a highly complex (and enjoyable!) task at which even humans are not good, let alone perfect, we describe our natural language processing (NLP) research to identify arguments, their stance and aspects, aggregate arguments into topically coherent clusters, and finally, even to generate new arguments, given their desired topic, aspect and stance. The talk will tell you the story how the ArgumenText project has been conceptualized into a set of novel NLP tasks and highlight their main research outcomes. Argument mining has a tremendous number of possible applications, of which the talk discusses a few selected ones.

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

Title to be announced.   (May 6, 2021, 15:00 CET)   

 

Summary:
Coming soon.

Heidi Christensen (University of Sheffield)

Title to be announced.   (June 3, 2021, 15:00 CET)   

 

Summary:
Coming soon.

webinarios anteriores

Puede ver todos los seminarios anteriores aquí

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