Talks

Many FoTran related presentations have been given throughout the years. Below is a selection of talks presented by FoTran team members and guest speakers (in bold face):

2023

• Jörg Tiedemann (December 11, 2023): Don’t be afraid of large language models – Study them!, Invited keynote at the HELSLANG December Seminar, Helsinki
• Jörg Tiedemann (November 27, 2023): Releasing the MAMMOTH – a framework for large-scale modular multilingual NLP models, FCAI ML Coffee Seminar [video]
• Timothee Mickus (November 8, 2023): SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes, AI Day
• Jörg Tiedemann (October 16, 2023): Lost in meaning – found in translation
  Natural language understanding with multilingual data, Invited keynote at the CLARIN Annual Conference 2023, Leuven, Belgium
• Jörg Tiedemann (October 6, 2023): The blessings and curse of multilinguality in NLP, Invited talk at the Multi* Workshop on Linguistic Variation, Copenhagen, Denmark
• Jörg Tiedemann (September 22, 2023): Lost in Translation Models – Messing Around with Massively Multilingual Data, Invited talk at the Lectures on Natural Language Processing at Uppsala University
• Jörg Tiedemann, Raul Vazquez and Timothee Mickus (August 28, 2023): Multilingual NMT, Invited lecture at the MT Marathon in Tartu, Estonia (slides, video)
• Yves Scherrer (May 25, 2023): Neural machine translation for low-resource and variation-rich languages, Invited talk at Paris-Lodron University of Salzburg, Austria
• Jörg Tiedemann (May 22, 2023): Democratizing Machine Translation with OPUS and OPUS-MT, Invited keynote at RESOURCEFUL-2023 at NoDaLiDa, Torshavn, Faroe Islands
• Jörg Tiedemann (March 30, 2023): To share and what to share, that is the question in multilingual machine translation, Invited talk at the mini-workshop in connection with Ahmet Üstün’s PhD defense, Groningen, The Netherlands

2022

• Jörg Tiedemann (December 5, 2022): What can we learn from translations about languages and human communication, LADAL Webinar, [video]
• Raul Vazquez (November 16, 2022): A Closer Look at Parameter Contributions When Training Neural Language and Translation Models, AI Day
• Thimothée Mickus (October 19, 2022): Linear structures in Transformer Embedding Spaces, FCAI Machine Learning Coffee Seminars [video]
• Jörg Tiedemann (September 29, 2022): Translations as semantic mirrors – Representation learning with multilingual data. RISE Learning Machines Seminar [video]

2021

• Yves Scherrer (April, 2021): Workshop on neural tagging, Invited talk, Freiburg, Germany

2020

• Alessandro Raganato (November 26, 2020): Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation, AI Day 2020

2019

• Jörg Tiedemann (November 26, 2019): Language (technology) is the key to (artificial) intelligence, AI Day
• Yves Scherrer, (November 12, 2019): Computational dialectology with machine translation techniques, Invited talk at the University of Gothenburg, Sweden
• Jörg Tiedemann (November 7, 2019): Learning to understand languages with neural networks, HELDIG Summit
• Tommaso Pasini (October 2019)
  Presentation (seminar): Different Approaches for Enabling Multilinguality in Word Sense Disambiguation
• David Mareček (September 2019)
  Presentation (seminar): Searching for hidden linguistic structures in neural networks
• Desmond Elliot (June 2019)
  Presentation (seminar): Shortcomings in (some) Vision and Language Models
• Nikola Ljubešić (May 2019)
  Presentation (seminar): Let’s do it together! Developing an LT infrastructure for Slovene, Croatian and Serbian
• Marianna Apidianaki (April 2019)
  Presentation (seminar): Word similarity and difference: discovering meaning through paraphrases, translations and context
• Danny Merkx (March 2019)
  Presentation (seminar): Learning semantic representations of sentences from visually grounded language without words
• Mans Hulden (January 2019)
  Presentation: Linguistic with Neural Networks

2018

• Ana V. González Garduño (November 2018)
  Presentation (seminar): Goal Oriented chit chat: Hybrid approach for improving dialogue generation
• Talha Çolakoğlu (November 2018)
  Presentation (seminar): Tackling the Problem of Non-Canonical Text Normalization for Turkish Using Deep Learning Techniques
  Research output: Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches
• Ivan Vulić (October 2018)
  Presentation (invited talk): Multilingual NLP via Cross-Lingual Word Embeddings
• Manaal Faruqui (October 2018)
  Presentation (invited talk): Understanding Structure in Language through Wikipedia Edits
• Stergios Chatzikyriakidis (September 2018)
  Presentation (seminar): What kind of Natural Language Inference are NLP systems learning?
• André Martins (September 2018)
  Presentation (invited talk): Beyond Softmax: Sparsity, Constraints, Latent Structure – All End-to-End Differentiable!
• Kyunghyun Cho (September 2018)
  Presentation (invited talk): Three recent directions in neural machine translation
• Yves Scherrer (June 18, 2018): Language technology for low-resource languages, LOT summer school, Groningen, The Netherlands
• Johannes Bjerva (in summer 2018)
  Presentation: One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis
• Alessandro Raganato and Hande Celikkanat (June 18, 2018): Natural Language Understanding with Cross-Lingual Grounding, Novel Applications of Artificial Intelligence in Physical Sciences and Engineering Research (AIPSE)