Two-day workshop on Natural Language Processing

The workshop started with an introduction to Transformers and pre-trained language models, followed by a hands-on coding session. We then had talks on personalized longitudinal NLP, active learning in NLP, multilingual machine translation with hyper-adapters, context-aware machine translation evaluation, the dangers of large language models, privacy preservation in NLP, multilingual and low-resource models, fact checking, language modelling for programming languages, modeling how the brain creates language, the linguistic aspect of resources, and dialectal variation.

Two-day workshop on Natural Language Processing

Ion Androutsopoulos

Introduction to Transformers & pretrained large language models (LLMs)

Dimitris Galanis

Hands-on coding for Transformers & pretrained LLMs

Maria Liakata

Personalised Longitudinal Natural Language Processing

Katerina Margatina

On the Limitations of Simulating Active Learning

Christos Baziotis

Multilingual Machine Translation with Hyper Adapters

Giorgos Vernikos

Machine Translation Evaluation

Yannis Konstas

The Dangers of Trusting Stochastic Parrots

Dimitra Gatzia

Privacy Preservation in Natural Language Processing

Antonis Anastasopoulos

Multilingual & lowresource models & code

Andreas Vlachos

Fact Checking as a conversation

Gerasimos Lampouras

Language Modelling for Programming Languages

Christos Papadimitriou

How does the brain create language

Stella Markantonatou

The linguistic aspect of resources. The case of dialectal variation


The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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