DLinNLP 2023 - Deep Learning Summer School at RANLP 2023 Second 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 ***There will be an informal poster presentation session where attendees can present their research work and get feedback from the experts in the field. ***
Contact Email: dlinnlp2023@gmail.commailto:dlinnlp2023@gmail.com