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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 4

Zeitschriftenartikel

Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet B. (2020): A Graph Auto-encoder Model of Derivational Morphology. In: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020): S. 1127-1138

Konferenzbeitrag

Hofmann, Valentin; Schütze, Hinrich und Pierrehumbert, Janet B. (Mai 2022): An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 22-27, 2022. Muresan, Smarandakov; Nakov, Preslav und Villavicencio, Aline (Hrsg.): In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Stroudsburg, PA: Association for Computational Linguistics. S. 385-393 [PDF, 480kB]

Hofmann, Valentin; Pierrehumbert, Janet B. und Schütze, Hinrich (August 2021): Dynamic Contextualized Word Embeddings. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021. Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.): In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics. S. 6970-6984 [PDF, 4MB]

Hofmann, Valentin; Pierrehumbert, Janet B. und Schütze, Hinrich (August 2021): Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 2021. Zong, Chengqing; Xia, Fei; Li, Wenjie und Navigli, Roberto (Hrsg.): In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), S. 3594-3608 [PDF, 1MB]

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