piwik-script

Intern
    Natural Language Processing

    Fabian David Schmidt

    Fabian David Schmidt

    Research associate / Doctoral student
    WüNLP (LS Informatik XII)
    Julius-Maximilians-Universität
    John-Skilton-Str. 8a
    97074 Würzburg
    Gebäude: Sensalight (SK8)
    Raum: 03.003

    I am a Ph.D. candidate at WüNLP and work on topics of multilingual representation learning and sample-efficient cross-lingual transfer. I am co-advised by Prof. Dr. Goran Glavaš and Ivan Vulić from the University of Cambridge. 

    • Machine Learning & Deep Learning
    • Representation Learning for Multilingual & Low-Resource Cross-Lingual NLP
    • Cross-Lingual Lexical and Distributional Semantics
    • Information Retrieval

    Papers
    • Fabian David Schmidt, Ivan Vulić, Goran Glavaš. Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models, In Proceedings of the Conference on Empirical Methods in Natural Language Processing: Main Conference. forthcoming, Abu Dhabi, 2022.
    • Fabian David Schmidt, Ivan Vulić, Goran Glavaš. SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition, In Proceedings of the Conference on Empirical Methods in Natural Language Processing: Main Conference. forthcoming, Abu Dhabi, 2022.
    System Demonstrations
    • Fabian David Schmidt, Markus Dietsche, Simone Ponzetto, Goran Glavaš. SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval, In Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pages 199–204, Hong Kong, 2019.