Home Call for papers Program Organizers

Contact

For inquiries, please contact moomin.nlp.workshop@gmail.com

Workshop Organizers

Timothee Mickus, University of Helsinki

Timothee Mickus is a post-doctoral researcher at the University of Helsinki, within the ERC project Found in Translation (FoTran), where he develops and maintains the MAMMOTH modular MT framework. His research focuses on representation learning, model interpretability and natural language generation. He previously organized the CoDWoE shared task at SemEval 2022 and is a current co-organizer for the SHROOM shared task at SemEval 2024.

Jörg Tiedemann, University of Helsinki

Jörg Tiedemann is a professor of language technology at the University of Helsinki. His research interests are in multilingual and cross-lingual NLP including machine translation and representation learning. He is the PI of the ERC project Found in Translation (FoTran) and the GreenNLP project, which are both supporting the workshop.

Ahmet Üstün, Cohere For AI

Ahmet Üstün is a research scientist at Cohere For AI. He has previously earned a PhD from the University of Groningen. His research interests are multi-task, multilingual, and efficient natural language processing with a particular focus on modular approaches and low-resource languages. He is a leading member of AYA Open Science Initiative.

Raúl Vázquez, University of Helsinki

Raúl is a soon-to-defend PhD student at the University of Helsinki. His research is centered around the ERC project FoTran, where he develops models for natural language understanding using multilingual data and neural machine translation systems; also analyzing the internal dynamics of those systems. He is a current co-organizer for the SemEval 2024 shared task SHROOM.

Ivan Vulic, University of Cambridge and PolyAI

Ivan is a Principal Research Associate and a Royal Society University Research Fellow in the Language Technology Lab at the University of Cambridge, and a Senior Scientist at PolyAI. His research interests are in multilingual, multimodal and modular representation learning, and transfer learning for low-resource languages and applications such as task-oriented dialogue systems.

Program Committee

Below are our program committee members.