Three major organisations from Greece, NCSR Demokritos, the Athens University of Economics and Business, Research Center «Athena» and one from Scotland, Heriot-Watt University, joined their forces in the co-organisation of the 1st Athens Natural Language Processing Summer School (AthNLP), which took place at NCSR Demokritos campus in Agia Paraskevi, Athens. During the eight days of the summer school more than 100 students, researchers and leading scholars from all around the world participated in the plenaries talks and laboratories from 18 to 25 September 2019.

The keynote lectures were given by leading researchers in NLP, from universities, research centers, and ΙΤ companies from around the globe (for more information http://athnlp.iit.demokritos.gr/speakers/). Over 100 people (from the 260 applicants) attended the summer school, the majority from abroad.

The lectures of the Summer School are available to view here.

AthNLP 2019 summer school was sponsored by many contributors like EY, Google, Omilia, Workable, Facebook, Causaly, DeepSea, Cognitiv+, and Voiceweb (for more information: http://athnlp.iit.demokritos.gr/sponsors/). Also received academic support from NCSR Demokritos, ΚΕΔιΒίΜ and ‘Data Science’ Master Program of Athens University of Economics and Business, as well as the Hellenic Artificial Intelligence Society. 

Dr. Vangelis Karkaletsis, director of IIT,  welcomed participants: “Our initiative to organise the AthNLP Summer School here in Greece gathered great support and proves the existence of significant potential in research, in this particular field of Artificial Intelligence. Our aim is to establish AthNLP as a major international Summer School by drwaing researchers from all over the world and to proliferate pertinent actions of Greek research groups.

Natural Language Processing, as a discipline of Artificial Intelligence, develops algorithms and computational models that allows computers to understand, produce texts and/or speech of natural languages, extract information from them, answer questions, etc.