[CogSci] Call for Participation: Deep Learning Summer School at RANLP 2019

[Slavi Slavov]

*Deep Learning Summer School at RANLP 2019*

*Call for Participation*

Varna, Bulgaria

29-30 August 2019

*https://dlinnlp.github.io/ <https://dlinnlp.github.io/index.html>*


*Purpose*

Deep Learning is a branch of machine learning that has gained significant
traction in the field of Artificial Intelligence, pushing the envelope in
the state-of-the-art, with many sub-areas including natural language,
image, and speech processing employing it widely in their best-performing
models.

This summer school will feature presentations from outstanding researchers
in the field of Natural Language Processing (NLP) and Deep Learning. These
will include coverage of recent advances in theoretical foundations and
extensive practical coding sessions showcasing the latest relevant
technology.

The summer school would be of interest to novices and established
practitioners in the fields of natural language processing, corpus
linguistics, language technologies, translation technology and cognitive
studies. It will be held as part of the 12th biennial conference on Recent
Advances in Natural Language Processing (RANLP 2019).


*Important Dates**:*

29-30 August 2019: Deep Learning Summer School in NLP


*Invited **presentations**:*

Tim Rocktäschel (University College London/ Facebook AI Research) -
Introduction to Deep Learning for NLP

Hinrich Schütze (Ludwig Maximilian University, Munich) - Neural-based
representation Learning

Kyunghyun Cho (New York University/ Facebook AI Research) - Latest topics
in representation learning for language

Marek Rei (University of Cambridge) – Practical talk on application of deep
learning in NLP

*Invited** practical sessions:*

Heike Adel (Bosch Center for Artificial Intelligence)

Omid Rohanian (RGCL, University of Wolverhampton)

Shiva Taslimipoor (RGCL, University of Wolverhampton)

Alexander Popov (Bulgarian Academy of Sciences)

More to be announced


*Registration*

Registration details will be soon available on:


*https://dlinnlp.github.io/ <https://dlinnlp.github.io/index.html>*


*Programme*

Please refer to the website for the details of the programme:


*https://dlinnlp.github.io/programme.html
<https://dlinnlp.github.io/programme.html>*


*Participation fees*

Please refer to the website for the details on the fees for participation:

*https://dlinnlp.github.io/fees.html <https://dlinnlp.github.io/fees.html>*


*Contact Email*:  *dlinnlp at gmail.com <dlinnlp at gmail.com>*
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