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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 CaMEL: Case Marker Extraction without Labels ... Weissweiler, Leonie; Hofmann, Valentin; Sabet, Masoud Jalili; Schütze, Hinrich. - : arXiv, 2022 Abstract: We introduce CaMEL (Case Marker Extraction without Labels), a novel and challenging task in computational morphology that is especially relevant for low-resource languages. We propose a first model for CaMEL that uses a massively multilingual corpus to extract case markers in 83 languages based only on a noun phrase chunker and an alignment system. To evaluate CaMEL, we automatically construct a silver standard from UniMorph. The case markers extracted by our model can be used to detect and visualise similarities and differences between the case systems of different languages as well as to annotate fine-grained deep cases in languages in which they are not overtly marked. ... : ACL 2022 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2203.10010 https://arxiv.org/abs/2203.10010 BASE Hide details 2 Geographic Adaptation of Pretrained Language Models ... Hofmann, Valentin; Glavaš, Goran; Ljubešić, Nikola. - : arXiv, 2022 BASE Show details 3 Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 4 Dynamic Contextualized Word Embeddings ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 5 Predicting the Growth of Morphological Families from Social and Linguistic Factors Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 6 A Graph Auto-encoder Model of Derivational Morphology Schütze, Hinrich; Pierrehumbert, Janet; Hofmann, Valentin. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 7 Dynamic Contextualized Word Embeddings ... Hofmann, Valentin; Pierrehumbert, Janet B.; Schütze, Hinrich. - : arXiv, 2020 BASE Show details 8 Predicting the Growth of Morphological Families from Social and Linguistic Factors ... Hofmann, Valentin; Pierrehumbert, Janet; Schütze, Hinrich. - : Association for Computational Linguistics, 2020 BASE Show details 9 A Graph Auto-encoder Model of Derivational Morphology ... Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet. - : Association for Computational Linguistics, 2020 BASE Show details

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