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First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
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In: https://hal.inria.fr/hal-03161685 ; 2021 (2021)
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Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi
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In: https://hal.inria.fr/hal-03161677 ; 2021 (2021)
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First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
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In: EACL 2021 - The 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03239087 ; EACL 2021 - The 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kyiv / Virtual, Ukraine ; https://2021.eacl.org/ (2021)
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When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
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In: NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.inria.fr/hal-03251105 ; NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2021, Mexico City, Mexico (2021)
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Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering ...
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First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT ...
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When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models ...
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Establishing a New State-of-the-Art for French Named Entity Recognition
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02617950 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell
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In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889804 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, Canada. ⟨10.18653/v1/2020.acl-main.107⟩ (2020)
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CamemBERT: a Tasty French Language Model
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In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889805 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States. ⟨10.18653/v1/2020.acl-main.645⟩ (2020)
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When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
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In: https://hal.inria.fr/hal-03109106 ; 2020 (2020)
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Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi ...
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When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models ...
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Unsupervised Learning for Handling Code-Mixed Data: A Case Study on POS Tagging of North-African Arabizi Dialect
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In: EurNLP - First annual EurNLP ; https://hal.archives-ouvertes.fr/hal-02270527 ; EurNLP - First annual EurNLP, Oct 2019, Londres, United Kingdom (2019)
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CamemBERT: a Tasty French Language Model
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In: https://hal.inria.fr/hal-02445946 ; 2019 (2019)
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Enhancing BERT for Lexical Normalization
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In: The 5th Workshop on Noisy User-generated Text (W-NUT) ; https://hal.inria.fr/hal-02294316 ; The 5th Workshop on Noisy User-generated Text (W-NUT), Nov 2019, Hong Kong, China (2019)
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ELMoLex: Connecting ELMo and Lexicon features for Dependency Parsing
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In: CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies ; https://hal.inria.fr/hal-01959045 ; CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Oct 2018, Brussels, Belgium. ⟨10.18653/v1/K18-2023⟩ (2018)
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CoNLL 2018 Shared Task System Outputs
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Zeman, Daniel; Potthast, Martin; Duthoo, Elie; Mesnard, Olivier; Rybak, Piotr; Wróblewska, Alina; Che, Wanxiang; Liu, Yijia; Wang, Yuxuan; Zheng, Bo; Liu, Ting; Li, Zuchao; He, Shexia; Zhang, Zhuosheng; Zhao, Hai; Wu, Yingting; Tong, Jia-Jun; Nguyen, Dat Quoc; Verspoor, Karin; Wan, Hui; Naseem, Tahira; Lee, Young-Suk; Castelli, Vittorio; Ballesteros, Miguel; Hershcovich, Daniel; Abend, Omri; Rappoport, Ari; Smith, Aaron; Bohnet, Bernd; de Lhoneux, Miryam; Nivre, Joakim; Shao, Yan; Stymne, Sara; Kırnap, Ömer; Dayanık, Erenay; Yuret, Deniz; Kanerva, Jenna; Ginter, Filip; Miekka, Niko; Leino, Akseli; Salakoski, Tapio; Lim, KyungTae; Park, Cheoneum; Lee, Changki; Poibeau, Thierry; Bhat, Riyaz Ahmad; Bhat, Irshad; Bangalore, Srinivas; Qi, Peng; Dozat, Timothy; Zhang, Yuhao; Manning, Christopher; Boroș, Tiberiu; Dumitrescu, Stefan Daniel; Burtica, Ruxandra; Arakelyan, Gor; Hambardzumyan, Karen; Khachatrian, Hrant; Rosa, Rudolf; Mareček, David; Straka, Milan; Seker, Amit; More, Amir; Tsarfaty, Reut; Önder, Berkay Furkan; Gümeli, Can; Jawahar, Ganesh; Muller, Benjamin; Fethi, Amal; Martin, Louis; Villemonte de la Clergerie, Eric; Sagot, Benoît; Seddah, Djamé; Özateş, Şaziye Betül; Özgür, Arzucan; Gungor, Tunga; Öztürk, Balkız; Ji, Tao; Liu, Yufang; Wang, Yijun; Wu, Yuanbin; Lan, Man; Chen, Danlu; Lin, Mengxiao; Hu, Zhifeng; Qiu, Xipeng. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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Abstract:
Test data parsed by systems submitted to the CoNLL 2018 UD parsing shared task.
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Keyword:
conllu; parsed data; universal dependencies
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URL: http://hdl.handle.net/11234/1-2885
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