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1
Multitask Pointer Network for Multi-Representational Parsing
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2
Joint learning of morphology and syntax with cross-level contextual information flow
In: 2022 ; 1 ; 33 (2022)
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3
Analyse en dépendances du français avec des plongements contextualisés
In: 28e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03223424 ; 28e Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2021, Lille (virtuel), France (2021)
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4
To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children ...
Lassotta, Romy. - : Université de Genève, 2021
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5
IWPT 2021 Shared Task Data and System Outputs
Zeman, Daniel; Bouma, Gosse; Seddah, Djamé. - : Universal Dependencies Consortium, 2021
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6
Training corpus ssj500k 2.3
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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7
PLPrepare: A Grammar Checker for Challenging Cases
In: Electronic Theses and Dissertations (2021)
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8
To be or not to be adultlike in syntax: An experimental study of language acquisition and processing in children
Lassotta, Romy. - : Université de Genève, 2021
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9
Resourceful at Any Size: A Predictive Methodology Using Linguistic Corpus Metrics for Multi-Source Training in Neural Dependency Parsing
Gokcen, Ajda. - 2021
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10
Treebank embedding vectors for out-of-domain dependency parsing
In: Wagner, Joachim orcid:0000-0002-8290-3849 , Barry, James orcid:0000-0003-3051-585X and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Treebank embedding vectors for out-of-domain dependency parsing. In: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 05-10 Jul 2020, Online (virtual conference). (2020)
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11
Bootstrap methods for multi-task dependency parsing in low-resource conditions ; Méthodes d’amorçage pour l’analyse en dépendances de langues peu dotées
Lim, Kyungtae. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-03477961 ; Linguistics. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLE027⟩ (2020)
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12
Extrinsic Evaluation of French Dependency Parsers on a Specialized Corpus: Comparison of Distributional Thesauri
In: 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02611042 ; 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.5822-5830 (2020)
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13
IWPT 2020 Shared Task Data and System Outputs
Zeman, Daniel; Bouma, Gosse; Seddah, Djamé. - : Universal Dependencies Consortium, 2020
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14
On understanding character-level models for representing morphology ...
Vania, Clara. - : The University of Edinburgh, 2020
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15
Linguatec Tolosa Treebank ...
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16
Linguatec Tolosa Treebank ...
Abstract: Linguatec Tolosa Treebank for Occitan Linguatec Tolosa Treebank is the first dependency treebank for Occitan, developed as part of the EFA 227/16 LINGUATEC Project, financed by the POCTEFA Interreg European funds. The current version of the treebank contains 13K tokens annotated for PoS tags, lemmas and syntactic dependencies. Linguistic annotation follows Universal Dependencies guidelines (https://universaldependencies.org/#language-u). A detailed corpus description is provided in the description file. A subset of texts was doubly annotated and these annotations were adjudicated in order to provide the final annotation. These texts are therefore the most suited to be used as test files in NLP experiments. The corpus files are stored in the ConLL-U format. Each sentence is preceded by a sentence ID and the original, non-tokenized text of the sentence. The annotation is provided in a column-based format defined as follows: 1. ID: Word index, integer starting at 1 for each new sentence; may be a range for ... : This corpus is developed as part of the EFA 227/16 LINGUATEC Project, financed by the POCTEFA Interreg European funds. ...
Keyword: Occitan, treebank, dependency syntax, parsing, Universal Dependencies
URL: https://dx.doi.org/10.5281/zenodo.3708267
https://zenodo.org/record/3708267
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17
Demographic-Aware Natural Language Processing
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18
On understanding character-level models for representing morphology
Vania, Clara. - : The University of Edinburgh, 2020
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19
Self attended stack pointer networks for learning long term dependencies
Can, Burcu; Tuç, Salih. - : Association for Computational Linguistics, 2020
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20
Annotation syntaxique automatique de la partie orale du ORFÉO
In: Langages, N 219, 3, 2020-08-11, pp.87-102 (2020)
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