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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...190 Hits 1 – 20 of 3.797 1 Morphological Parsing in Tagalog: A Masked Priming Study on Infixation, Prefixation, and Suffixation ... Cayado, Dave. - : Open Science Framework, 2022 BASE Show details 2 An Unsupervised Approach to Structuring and Analyzing Repetitive Semantic Structures in Free Text of Electronic Medical Records Varvara Koshman; Anastasia Funkner; Sergey Kovalchuk In: Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25 (2022) BASE Show details 3 Segmental and Prosodic Evidence for Property-by-Property Transfer in L3 English in Northern Africa John Archibald In: Languages; Volume 7; Issue 1; Pages: 28 (2022) BASE Show details 4 Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG Alencar, Leonel Figueiredo de; Rademaker, Alexandre In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022) BASE Show details 5 PFN-PT: a Framenet annotator for Portuguese ; Anotação semântica automática: um novo Framenet para o português Bick, Eckhard In: Domínios de Lingu@gem; Ahead of Print ; 1980-5799 (2022) BASE Show details 6 Multitask Pointer Network for Multi-Representational Parsing Fernández-González, Daniel; Gómez-Rodríguez, Carlos. - : Elsevier, 2022 Abstract: Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG ; [Abstract] Dependency and constituent trees are widely used by many artificial intelligence applications for representing the syntactic structure of human languages. Typically, these structures are separately produced by either dependency or constituent parsers. In this article, we propose a transition-based approach that, by training a single model, can efficiently parse any input sentence with both constituent and dependency trees, supporting both continuous/projective and discontinuous/non-projective syntactic structures. To that end, we develop a Pointer Network architecture with two separate task-specific decoders and a common encoder, and follow a multitask learning strategy to jointly train them. The resulting quadratic system, not only becomes the first parser that can jointly produce both unrestricted constituent and dependency trees from a single model, but also proves that both syntactic formalisms can benefit from each other during training, achieving state-of-the-art accuracies in several widely-used benchmarks such as the continuous English and Chinese Penn Treebanks, as well as the discontinuous German NEGRA and TIGER datasets. ; We acknowledge the European Research Council (ERC), which has funded this research under the European Union’s Horizon 2020 research and innovation programme (FASTPARSE, grant agreement No 714150), ERDF/MICINN-AEI (ANSWER-ASAP, TIN2017-85160-C2-1-R; SCANNER-UDC, PID2020-113230RB-C21), Xunta de Galicia, Spain (ED431C 2020/11), and Centro de Investigación de Galicia “CITIC”, funded by Xunta de Galicia, Spain and the European Union (ERDF - Galicia 2014–2020 Program), by grant ED431G 2019/01. Funding for open access charge: Universidade da Coruña / CISUG ; Xunta de Galicia; ED431C 2020/11 ; Xunta de Galicia; ED431G 2019/01 Keyword: Computational linguistics; Constituent parsing; Deep learning; Dependency parsing; Natural language processing; Neural network; Parsing URL: https://doi.org/10.1016/j.knosys.2021.107760 http://hdl.handle.net/2183/29887 BASE Hide details 7 Joint learning of morphology and syntax with cross-level contextual information flow Can Buglalilar, Burcu; Aleçakır, Hüseyin; Manandhar, Suresh... In: 2022 ; 1 ; 33 (2022) BASE Show details 8 Evaluating Structural Economy Claims in Relative Clause Attachment Lee, So Young; De Santo, Aniello In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 9 Parsing Early Modern English for Linguistic Search Kulick, Seth; Ryant, Neville; Santorini, Beatrice In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 10 Analyse en dépendances du français avec des plongements contextualisés Grobol, Loïc; Crabbé, Benoît 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) BASE Show details 11 COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets Nabé, Mamady; Schwartz, Jean-Luc; Diard, Julien In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021) BASE Show details 12 Neuro-computational models of language processing Hale, John,; Campanelli, Luca; Li, Jixing... In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021) BASE Show details 13 IWPT 2021 Shared Task Data and System Outputs Zeman, Daniel; Bouma, Gosse; Seddah, Djamé. - : Universal Dependencies Consortium, 2021 BASE Show details 14 Training corpus ssj500k 2.3 Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 15 Spanish is not different ; On the universality of minimal structure and locality principles Grillo, Nino; Aguilar López, Miriam. - 2021 BASE Show details 16 Scaling Semantic Role Labeling and Semantic Parsing Across Languages ... Navigli, Roberto. - : Leibniz Universität Hannover (LUH),L3S Research Center,CLEOPATRA ITN, 2021 BASE Show details 17 Research in Action: Constructing Age for Young Readers ... Joosen, Vanessa. - : Zenodo, 2021 BASE Show details 18 Research in Action: Constructing Age for Young Readers ... Joosen, Vanessa. - : Zenodo, 2021 BASE Show details 19 Free Software Tools for Computational Linguistics: An Overview ... Đurić D., Miloš. - : Zenodo, 2021 BASE Show details 20 Free Software Tools for Computational Linguistics: An Overview ... Đurić D., Miloš. - : Zenodo, 2021 BASE Show details Page: 1 2 3 4 5...190

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