AthNLP 2024 - Athens Natural Language Processing Summer School
Το Athens Natural Language Processing Summer School προσκαλεί, ερευνητές, φοιτητές και επαγγελματίες του κλάδου στο 2ο Athens Natural Language Processing Summer School που θα πραγματοποιηθεί στην Αθήνα μεταξύ 19-25 Σεπτεμβρίου 2024.
Nέα Προθεσμία υποβολής αιτήσεων: 1 Ιουλίου 2024.
Παρακάτω ακολουθεί η πρόσκληση στην αγγλική γλώσσα:
Extended Call for Participation
New Deadline: Monday 1 July 2024
AthNLP 2024 - Athens Natural Language Processing Summer School
We invite everyone interested in Natural Language Processing and Machine Learning to participate in the 2nd Athens Natural Language Processing Summer School
taking place in Athens, Greece between 19 - 25 September 2024.
Important Dates
Application Deadline: 1 July 2024
Decision announcement: 10 July 2024
Registration until: 30 July 2024
Summer School: 19 - 25 September 2024
Description
Following on from the success of the 1st AthNLP in 2019, AthNLP 2024 will take place at the campus of NCSR Demokritos in Athens and is organised jointly by NCSR Demokritos, the Athens University of Economics and Business, RC ATHENA, and Heriot-Watt University. AthNLP cooperates closely with the organisers of LxMLS, taking place in Lisbon (11-17 July).
The school will cover a range of NLP topics focusing on machine learning (ML) methods. There will be morning lectures focusing on theoretical aspects, afternoon lab sessions focusing on implementation and experimentation, and evening talks on research topics and perspectives, as well as demos and posters from the participants and industry research labs. The lectures and the evening talks will be given by internationally recognized researchers from academic and industrial research labs. The topics to be covered include: classification, sequence prediction, linear models, neural networks, encoder-decoder architectures, machine translation, large language models, and multimodality.
Our target audience is:
- Researchers and students in the fields of NLP and Computational Linguistics;
- Computer scientists who have interests in natural language processing and machine learning;
- Industry practitioners who desire a more in-depth understanding of these subjects.
While previous experience with the topics will be helpful, the school assumes no previous knowledge of natural language processing and machine learning. The only background required is basic mathematics and Python programming.
Features of AthNLP:
- Attendance at the Social Event, daily lunch as well as morning and afternoon coffee breaks are included in the application fee.
- Lecturers are leading researchers in machine learning and natural language processing.
- Students will be able to (optionally) show their current work in poster sessions during coffee breaks.
- In the demo day, students will be able to interact with technical companies and research institutions working in machine learning.
Confirmed Speakers
- Antonis Anastasopoulos, George Mason Computer Science
- Raquel Fernández, University of Amsterdam
- Ferenc Huszár, University of Cambridge
- Martin Krallinger, Barcelona Supercomputing Center
- Mirella Lapata, University of Edinburgh
- Ryan McDonald, ASAPP
- Aida Nematzadeh, Google DeepMind
- Vlad Niculae, University of Amsterdam
- Barbara Plank, Ludwig Maximilian University of Munich
- Anna Rogers, IT University of Copenhagen
Fees
- 300 EUR for students
- 400 EUR for university professors or researchers at a public institute
- 500 EUR for everyone else
Any questions should be directed to: athnlp2024@athenarc.gr
