Call for Participation
Varna, Bulgaria 29-30 August 2019
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).
August 29–30, 2019: Deep Learning Summer School in NLP
Tim Rocktäschel (University College London) - Introduction to Deep Learning for NLP
Hinrich Schütze (Ludwig Maximilian University, Munich) - Neural-based representation Learning
Kyunghyun Cho (New York University) - Latest topics in representation learning for language
Speakers and hosts of practical sessions: to be announced soon
Registration details will be available soon on https://dlinnlp.github.io<https://dlinnlp.github.io/>
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