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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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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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PanParser: a Modular Implementation for Efficient Transition-Based Dependency Parsing
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In: Prague Bulletin of Mathematical Linguistics , Vol 111, Iss 1, Pp 57-86 (2018) (2018)
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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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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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Abstract:
International audience ; This paper formalizes a sound extension of dynamic oracles to global training, in the frame of transition-based dependency parsers. By dispensing with the pre-computation of references, this extension widens the training strategies that can be entertained for such parsers; we show this by revisiting two standard training procedures, early-update and max-violation, to correct some of their search space sampling biases. Experimentally, on the SPMRL treebanks, this improvement increases the similarity between the train and test distributions and yields performance improvements up to 0.7 UAS, without any computation overhead.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; dependency parsing; machine learning; transition-based system
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URL: https://hal.archives-ouvertes.fr/hal-01618377/document
https://doi.org/10.18653/v1/E17-2051
https://hal.archives-ouvertes.fr/hal-01618377
https://hal.archives-ouvertes.fr/hal-01618377/file/E17-2051.pdf
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LIMSI@WMT16: Machine Translation of News
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In: First Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01388659 ; First Conference on Machine Translation, Aug 2016, Berlin, Germany. pp.239--245, ⟨10.18653/v1/W16-2304⟩ ; https://statmt.org/wmt16 (2016)
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Cross-lingual alignment transfer: a chicken-and-egg story?
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In: Workshop on Multilingual and Cross-lingual Methods in NLP ; https://hal.archives-ouvertes.fr/hal-01622815 ; Workshop on Multilingual and Cross-lingual Methods in NLP , Jun 2016, San Diego, CA, United States. pp.35-44, ⟨10.18653/v1/W16-1205⟩ ; https://aclanthology.coli.uni-saarland.de/volumes/proceedings-of-the-workshop-on-multilingual-and-cross-lingual-methods-in-nlp (2016)
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Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge
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In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers ; COLING 2016, the 26th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01592335 ; COLING 2016, the 26th International Conference on Computational Linguistics, 2016, Osaka, Japan. pp.119--130 (2016)
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