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SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations
In: Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies ; https://hal.archives-ouvertes.fr/hal-02977455 ; Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Oct 2018, Bruxelles, Belgium. pp.143-152, ⟨10.18653/v1/K18-2014⟩ ; https://www.conll.org/2018/ (2018)
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Merlin: a language server for OCaml (experience report)
In: ISSN: 2475-1421 ; Proceedings of the ACM on Programming Languages ; https://hal.inria.fr/hal-01929161 ; Proceedings of the ACM on Programming Languages, ACM, 2018, 2 (ICFP), pp.1 - 15. ⟨10.1145/3236798⟩ (2018)
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ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations
In: LREC 2018 - 11th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01744572 ; LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org/en/ (2018)
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Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles
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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5
A semi-automatically generated TAG for Arabic: Dealing with linguistic phenomena
In: 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018) ; https://hal.archives-ouvertes.fr/hal-01762597 ; 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018), Mar 2018, Hanoi, Vietnam (2018)
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6
Grammatical licensing and relative clause parsing in a flexible word-order language.
Wagers, Matthew W; Borja, Manuel F; Chung, Sandra. - : eScholarship, University of California, 2018
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Grammatical licensing and relative clause parsing in a flexible word-order language.
Wagers, Matthew W; Borja, Manuel F; Chung, Sandra. - : eScholarship, University of California, 2018
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8
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
In: LREC 2018 Proceedings ; Language Resource and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01856178 ; Language Resource and Evaluation Conference, ELRA, May 2018, Miyazaki, Japan ; http://www.lrec-conf.org/proceedings/lrec2018/pdf/600.pdf (2018)
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9
Quantifying training challenges of dependency parsers
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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10
Classification par paires de mention pour la résolution des coréférences en français parlé interactif
In: Conférence jointe CORIA-TALN-RJC 2018 ; https://hal.inria.fr/hal-01821213 ; Conférence jointe CORIA-TALN-RJC 2018, ATALA; ARIA, May 2018, Rennes, France ; https://project.inria.fr/coriataln2018 (2018)
Abstract: National audience ; Mention-pair classification for corefence resolution on spontaneous spoken French. This paper presents the first experiments conducted by our laboratory (LIFAT) on the question of the resolution of coreference on spontaneous spoken French. We have developed a mention-pair classifier, trained on the ANCOR French coreference corpus, which is based on various classification techniques among which support vector machines (SVM). The paper details several experimental studies that investigate several factors (classification model, interactivity degree, nature of the coreference…) that should affect the performances of the system. ; Cet article présente et analyse les premiers résultats obtenus par notre laboratoire pour la construction d'un modèle de résolution des coréférences en français à l'aide de techniques de classifications parmi lesquelles les arbres de décision et les séparateurs à vaste marge. Ce système a été entraîné sur le corpus ANCOR et s'inspire de travaux antérieurs réalisés au laboratoire LATTICE (système CROC). Nous présentons les expérimentations que nous avons menées pour améliorer le système en passant par des classifieurs spécifiques à chaque type de situation interactive, puis chaque type de relation de coréférence.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SCCO.LING]Cognitive science/Linguistics; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.3: Language parsing and understanding; Apprentissage automatique; Classification; Coreference resolution; Corpus; Détection de coréférence; Machine learning; Oral; Speech
URL: https://hal.inria.fr/hal-01821213/file/brassier2018classification.pdf
https://hal.inria.fr/hal-01821213
https://hal.inria.fr/hal-01821213/document
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11
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
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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12
Comparing decoding mechanisms for parsing argumentative structures
In: ISSN: 1946-2166 ; EISSN: 1946-2174 ; Argument and Computation ; https://hal.archives-ouvertes.fr/hal-02147995 ; Argument and Computation, Taylor & Francis, 2018, 9 (3), pp.177-192. ⟨10.3233/AAC-180033⟩ (2018)
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13
CoNLL 2017 and 2018 Shared Task Blind and Preprocessed Test Data
Zeman, Daniel; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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14
Introducing prosodic variability
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 9, No 1 (2018); 5 ; 1868-6354 (2018)
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15
Training corpus SETimes.SR 1.0
Batanović, Vuk; Ljubešić, Nikola; Samardžić, Tanja. - : Regional Linguistic Data Initiative Centre ReLDI, 2018
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Training corpus ssj500k 2.1
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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18
Annotating a Low-Resource Language with LLOD Technology: Sumerian Morphology and Syntax
In: Information ; Volume 9 ; Issue 11 (2018)
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19
The scope of children’s scope: Representation, parsing and learning
In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 33 ; 2397-1835 (2018)
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20
The role of approximate negators in modeling the automatic detection of negation in tweets
In: Dissertations - ALL (2018)
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