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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 – 11 of 11 1 Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations Kankanampati, Yash; Le Roux, Joseph; Tomeh, Nadi... In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03168039 ; 28th International Conference on Computational Linguistics, Dec 2020, Barcelona (on line), Spain. ⟨10.18653/v1/2020.coling-main.225⟩ (2020) BASE Show details 2 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Bouamor, Houda. - : arXiv, 2020 BASE Show details 3 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 4 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 5 A Panoramic Survey of Natural Language Processing in the Arab World ... Darwish, Kareem; Habash, Nizar; Abbas, Mourad. - : arXiv, 2020 BASE Show details 6 The Paradigm Discovery Problem ... Erdmann, Alexander; Elsner, Micha; Wu, Shijie; Cotterell, Ryan; Habash, Nizar. - : ETH Zurich, 2020 Abstract: This work treats the paradigm discovery problem (PDP), the task of learning an inflectional morphological system from unannotated sentences. We formalize the PDP and develop evaluation metrics for judging systems. Using currently available resources, we construct datasets for the task. We also devise a heuristic benchmark for the PDP and report empirical results on five diverse languages. Our benchmark system first makes use of word embeddings and string similarity to cluster forms by cell and by paradigm. Then, we bootstrap a neural transducer on top of the clustered data to predict words to realize the empty paradigm slots. An error analysis of our system suggests clustering by cell across different inflection classes is the most pressing challenge for future work. ... : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ... URL: https://dx.doi.org/10.3929/ethz-b-000462310 http://hdl.handle.net/20.500.11850/462310 BASE Hide details 7 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... The 28th International Conference on Computational Linguistics 2020; Abdul-Mageed, Muhammad; Bouamor, Houda. - : Underline Science Inc., 2020 BASE Show details 8 An Online Readability Leveled Arabic Thesaurus ... The 28th International Conference on Computational Linguistics 2020; Al Khalil, Muhamed; Habash, Nizar. - : Underline Science Inc., 2020 BASE Show details 9 Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ... The 28th International Conference on Computational Linguistics 2020; Alhafni, Bashar; Bouamor, Houda. - : Underline Science Inc., 2020 BASE Show details 10 The Paradigm Discovery Problem Wu, Shijie; Habash, Nizar; Elsner, Micha... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details 11 Multitask Easy-First Dependency Parsing ... The 28th International Conference on Computational Linguistics 2020; Habash, Nizar; Kankanampati, Yash. - : Underline Science Inc., 2020 BASE Show details

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