34.2501, Summer Schools: DLinNLP 2023 – Deep Learning Summer School at RANLP 2023 / Bulgaria
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LINGUIST List: Vol-34-2501. Wed Aug 16 2023. ISSN: 1069 - 4875.
Subject: 34.2501, Summer Schools: DLinNLP 2023 – Deep Learning Summer School at RANLP 2023 / Bulgaria
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================================================================
Date: 16-Aug-2023
From: Amal Haddad Haddad [haddad.amal at ymail.com]
Subject: DLinNLP 2023 – Deep Learning Summer School at RANLP 2023 / Bulgaria
DLinNLP 2023 – Deep Learning Summer School at RANLP 2023
Host Institution: Bulgarian Academy of Science (Institute for
Bulgarian Language)
Website: https://dlinnlp2023.github.io/
Dates: 30-Aug-2023 - 01-Sep-2023
Location: Varna, Varna
Focus: 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 at gmail.com
Minimum Education Level: MA
Description:
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 at gmail.com
Registration: 16-Aug-2023 to 29-Aug-2023
Contact Person: Amal Haddad Haddad
Email: dlinnlp2023 at gmail.com
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