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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 ...
Abstract: Neural machine translation (NMT) has achieved new state-of-the-art performance in translating ambiguous words. However, it is still unclear which component dominates the process of disambiguation. In this paper, we explore the ability of NMT encoders and decoders to disambiguate word senses by evaluating hidden states and investigating the distributions of self-attention. We train a classifier to predict whether a translation is correct given the representation of an ambiguous noun. We find that encoder hidden states outperform word embeddings significantly which indicates that encoders adequately encode relevant information for disambiguation into hidden states. Decoders could provide further relevant information for disambiguation. Moreover, the attention weights and attention entropy show that self-attention can detect ambiguous nouns and distribute more attention to the context. Note that this is a revised version. The content related to decoder hidden states has been updated. ... : Update with corrections. Here is the link to the erratum: https://www.aclweb.org/anthology/D19-1149e1.pdf ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1908.11771
https://arxiv.org/abs/1908.11771
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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
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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 ...
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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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