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Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles
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In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01813395 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2018, New Orleans, United States. pp.401 - 406, ⟨10.18653/v1/N18-2064⟩ (2018)
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| 2 |
Quantifying training challenges of dependency parsers
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In: Proceedings of the 27th International Conference on Computational Linguistics, ; International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01907772 ; International Conference on Computational Linguistics, Aug 2018, Santa Fe, New Mexico, United States. pp.3191 - 3202 (2018)
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| 3 |
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
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In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01813394 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, ACL, Jun 2018, New Orleans, United States. pp.413 - 419 (2018)
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| 4 |
LIMSI@CoNLL'17: UD Shared Task
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In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, ; Conference on Computational Natural Language Learning ; https://hal.archives-ouvertes.fr/hal-01622880 ; Conference on Computational Natural Language Learning, Association for computational linguistics, Aug 2017, Vancouver, Canada. pp.163-173, ⟨10.18653/v1/K17-3017⟩ (2017)
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| 5 |
Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers
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In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics ; Conference of the European Chapter of the ACL ; https://hal.archives-ouvertes.fr/hal-01618377 ; Conference of the European Chapter of the ACL, Jan 2017, Valencia, Spain. pp.318 - 323, ⟨10.18653/v1/E17-2051⟩ (2017)
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