DLinNLP 2023 – Deep Learning Summer School at RANLP 2023
Call for Participation
Varna, Bulgaria
30th August – 1st September
https://dlinnlp2023.github.io/
We invite everyone interested in Machine Learning and Natural Language
Processing to attend the Deep Learning Summer School at 14th biennial
RANLP conference (RANLP 2023).
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 NLP, corpus linguistics, language
technologies, and similar related areas.
Important Dates:
30 August – 1 September: Deep Learning Summer School in NLP
Lectures:
• Lucas Beyer (Google Brain)
• Tharindu Ranasinghe (Aston University, UK)
• Iacer Calixto (University of Amsterdam, Holland)
Practical Sessions:
• Damith Premasiri (practical sessions) (University of Wolverhampton,
UK)
• Isuri Anuradha (practical sessions) (University of Wolverhampton, UK)
• Anthony Hughes (practical sessions) (University of Wolverhampton, UK)
Registration:
**** Registration is now open: ******
https://ranlp.org/ranlp2023/index.php/fees-registration/
Programme:
Please refer to the website for the details of the programme:
https://dlinnlp2023.github.io/#programme
Contact Email: [email protected]