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21
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
In: Tang, Gongbo; Sennrich, Rico; Nivre, Joakim (2020). Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. In: Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain, 8 December 2020 - 13 December 2020, 4251-4262. (2020)
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22
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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23
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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24
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited ...
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25
Encoders Help You Disambiguate Word Senses in Neural Machine Translation ...
Tang, Gongbo; Sennrich, Rico; Nivre, Joakim. - : Association for Computational Linguistics, 2019
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26
Encoders Help You Disambiguate Word Senses in Neural Machine Translation ...
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27
Interrelating Treebanks with Language-Specific Descriptions of Information Structure
Kübler, Sandra [Herausgeber]; Hinrichs, Erhard [Herausgeber]; Wunsch, Holger [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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28
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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29
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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30
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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31
CoNLL 2018 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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32
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models ...
Abstract: We present the Uppsala system for the CoNLL 2018 Shared Task on universal dependency parsing. Our system is a pipeline consisting of three components: the first performs joint word and sentence segmentation; the second predicts part-of- speech tags and morphological features; the third predicts dependency trees from words and tags. Instead of training a single parsing model for each treebank, we trained models with multiple treebanks for one language or closely related languages, greatly reducing the number of models. On the official test run, we ranked 7th of 27 teams for the LAS and MLAS metrics. Our system obtained the best scores overall for word segmentation, universal POS tagging, and morphological features. ... : Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1809.02237
https://dx.doi.org/10.48550/arxiv.1809.02237
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33
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation ...
Tang, Gongbo; Sennrich, Rico; Nivre, Joakim. - : Association for Computational Linguistics, 2018
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34
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation ...
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35
Evaluating Evaluation Measures
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]; Nivre, Joakim [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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36
Universal Dependencies are hard to parse – or are they?
Rehbein, Ines [Verfasser]; Steen, Julius [Verfasser]; Do, Bich-Ngoc [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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37
Report on ACL survey on preprint publishing and reviewing
Foster, Jennifer; Nivre, Joakim; Zhao, Shiqi. - : Association for Computational Linguistics (ACL), 2017
In: Foster, Jennifer orcid:0000-0002-7789-4853 , Hearst, Marti, Nivre, Joakim orcid:0000-0002-7873-3971 and Zhao, Shiqi (2017) Report on ACL survey on preprint publishing and reviewing. Policy Report. Association for Computational Linguistics (ACL). (2017)
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38
Universal Dependencies 2.1
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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39
Universal Dependencies 2.0 alpha (obsolete)
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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40
CoNLL 2017 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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