👋 Hi there
I'm working at Bavarian State Library
I'm currently working on the awesome Flair
library and love contributing to
📰 Latest news
Latest news of new language models, PRs and many more!
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02.11.2020: Public release of Italian XXL ELECTRA model. New repo for Italian BERT and ELECTRA models is now available here
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22.10.2020: Preprint of "German's Next Language Model" is now available here. Models are also available on the Hugging Face model hub
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22.10.2020: Our shared task paper Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German together with Luisa März is released
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30.09.2020: "German's Next Language Model" together with Branden Chan and Timo Möller was accepted at COLING 2020! Expect new language models for German on the Hugging Face model hub soon
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23.09.2020: Flair in version 0.6.1 is out now!
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02.09.2020: Slow response time - I'm currently focussing on EACL 2021. Expect great new things
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18.08.2020: French BERT model, trained on Historic newspapers from Europeana: find the model here and the corresponding repository here.
📃 Publications
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Branden Chan, Stefan Schweter and Timo Möller. German's Next Language Model. In Proceedings of the 27th International Conference on Computational Linguistics. To appear. [Preprint].
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Stefan Schweter and Luisa März. Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - Proceedings of the Eleventh International Conference of the CLEF Association (CLEF 2020).
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Stefan Schweter and Sajawel Ahmed. Deep-EOS: General-Purpose Neural Networks for Sentence Boundary Detection. In Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019).
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Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter and Roland Vollgraf. FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations).
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Stefan Schweter and Johannes Baiter. Towards Robust Named Entity Recognition for Historic German. In Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019).
💬 Contact
Please open an issue in the corresponding repository or tag me (@stefan-it) in issues/prs/commits on GitHub :)
You can also find me on the
