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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...239 Hits 1 – 20 of 4.780 1 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) BASE Show details 2 Pseudorelatives: Parsing Preferences and their Natural Concealment Fernandes, Bruno Emanuel Pinto Ramos. - 2022 BASE Show details 3 Morphological Parsing in Tagalog: A Masked Priming Study on Infixation, Prefixation, and Suffixation ... Cayado, Dave. - : Open Science Framework, 2022 BASE Show details 4 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) Abstract: Electronic medical records (EMRs) include many valuable data about patients, which is, however, unstructured. Therefore, there is a lack of both labeled medical text data in Russian and tools for automatic annotation. As a result, today, it is hardly feasible for researchers to utilize text data of EMRs in training machine learning models in the biomedical domain. We present an unsupervised approach to medical data annotation. Syntactic trees are produced from initial sentences using morphological and syntactical analyses. In retrieved trees, similar subtrees are grouped using Node2Vec and Word2Vec and labeled using domain vocabularies and Wikidata categories. The usage of Wikidata categories increased the fraction of labeled sentences 5.5 times compared to labeling with domain vocabularies only. We show on a validation dataset that the proposed labeling method generates meaningful labels correctly for 92.7% of groups. Annotation with domain vocabularies and Wikidata categories covered more than 82% of sentences of the corpus, extended with timestamp and event labels 97% of sentences got covered. The obtained method can be used to label EMRs in Russian automatically. Additionally, the proposed methodology can be applied to other languages, which lack resources for automatic labeling and domain vocabulary. Keyword: automatic text labeling; electronic health records; graph algorithms; natural language processing; Node2Vec; syntactical parsing URL: https://doi.org/10.3390/jpm12010025 BASE Hide details 5 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 6 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 7 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 8 Multitask Pointer Network for Multi-Representational Parsing Fernández-González, Daniel; Gómez-Rodríguez, Carlos. - : Elsevier, 2022 BASE Show details 9 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 10 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 11 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 12 Deep learning and linguistic representation Lappin, Shalom. - New York : CRC Press, Taylor & Francis Group, 2021 BLLDB UB Frankfurt Linguistik Show details 13 Shallow discourse parsing for German Stede, Manfred (Akademischer Betreuer); Bourgonje, Peter; Kosseim, Leila (Akademischer Betreuer). - Potsdam, 2021 BLLDB UB Frankfurt Linguistik Show details 14 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 15 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 16 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 17 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 BASE Show details 18 IWPT 2021 Shared Task Data and System Outputs Zeman, Daniel; Bouma, Gosse; Seddah, Djamé. - : Universal Dependencies Consortium, 2021 BASE Show details 19 Training corpus ssj500k 2.3 Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 20 Spanish is not different ; On the universality of minimal structure and locality principles Grillo, Nino; Aguilar López, Miriam. - 2021 BASE Show details Page: 1 2 3 4 5...239

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