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Annoter et prédire des représentations linguistiques de phrases
Candito, Marie. - : HAL CCSD, 2022
In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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2
Deep Sequoia corpus - PARSEME-FR corpus - FrSemCor
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3
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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6
A French corpus annotated for multiword expressions and named entities
In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-03016721 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2020, 8 (2), pp.415-479. ⟨10.15398/jlm.v8i2.265⟩ (2020)
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Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020) ; https://hal.archives-ouvertes.fr/hal-03014927 ; Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020), 2020, Barcelona, Spain ; https://www.aclweb.org/anthology/volumes/2020.mwe-1/ (2020)
Abstract: International audience ; We present edition 1.2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs). Lessons learned from previous editions indicate that VMWEs have low ambiguity, and that the major challenge lies in identifying test instances never seen in the training data. Therefore, this edition focuses on unseen VMWEs. We have split annotated corpora so that the test corpora contain around 300 unseen VMWEs, and we provide non-annotated raw corpora to be used by complementary discovery methods. We released annotated and raw corpora in 14 languages, and this semi-supervised challenge attracted 7 teams who submitted 9 system results. This paper describes the effort of corpus creation, the task design, and the results obtained by the participating systems, especially their performance on unseen expressions.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
URL: https://hal.archives-ouvertes.fr/hal-03014927/document
https://hal.archives-ouvertes.fr/hal-03014927
https://hal.archives-ouvertes.fr/hal-03014927/file/main-print.pdf
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8
Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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9
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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10
Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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11
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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12
Comparing linear and neural models for competitive MWE identification
In: Proceedings of the 22nd Nordic Conference on Computational Linguistics ; The 22nd Nordic Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02436433 ; The 22nd Nordic Conference on Computational Linguistics, Sep 2019, Turku, Finland ; https://www.aclweb.org/anthology/W19-6109.pdf (2019)
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13
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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14
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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15
Linked Open Treebanks. Interlinking Syntactically Annotated Corpora in the LiLa Knowledge Base of Linguistic Resources for Latin
Mambrini, Francesco (orcid:0000-0003-0834-7562); Passarotti, Marco (orcid:0000-0002-9806-7187). - : Association for Computational Linguistics, 2019. : country:FRA, 2019. : place:Paris, 2019
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16
Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01865575 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.222 - 240 (2018)
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17
A transition-based verbal multiword expression analyzer
In: Multiword expressions at length and in depth ; https://hal.archives-ouvertes.fr/hal-01930522 ; Stella Markantonatou, Carlos Ramisch, Agata Savary, Veronika Vincze. Multiword expressions at length and in depth, Language Science Press, 2018, 978-3-96110-123-8. ⟨10.5281/zenodo.1469561⟩ ; http://langsci-press.org/catalog/book/204 (2018)
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18
Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer
In: Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.inria.fr/hal-01798801 ; Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018, Miyazaki, Japan (2018)
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19
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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20
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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