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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 6 7...289 Hits 41 – 60 of 5.767 41 Approximate Entropy in Canonical and Non-Canonical Fiction Mohseni, Mahdi; Redies, Christoph; Gast, Volker. - : MDPI, 2022 BASE Show details 42 Relationship between speech and other oromotor behaviors ... Lancheros Pompeyo, Monica Patricia. - : Université de Genève, 2022 BASE Show details 43 What Do We Know about Hybrid Regimes after Two Decades of Scholarship? Mufti, Mariam In: Politics and Governance ; 6 ; 2 ; 112-119 ; Authoritarianism in the 21st Century (2022) BASE Show details 44 Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data Zandbiglari, Kimia. - 2022 BASE Show details 45 StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence Ni, Pin; Li, Gangmin; Hung, Patrick C.K.; Chang, Victor. - : Elsevier Ltd, 2022 Abstract: As a task requiring strong professional experience as supports, predictive biomedical intelligence cannot be separated from the support of a large amount of external domain knowledge. By using transfer learning to obtain sufficient prior experience from massive biomedical text data, it is essential to promote the performance of specific downstream predictive and decision-making task models. This is an efficient and convenient method, but it has not been fully developed for Chinese Natural Language Processing (NLP) in the biomedical field. This study proposes a Stacked Residual Gated Recurrent Unit-Convolutional Neural Networks (StaResGRU-CNN) combined with the pre-trained language models (PLMs) for biomedical text-based predictive tasks. Exploring related paradigms in biomedical NLP based on transfer learning of external expert knowledge and comparing some Chinese and English language models. We have identified some key issues that have not been developed or those present difficulties of application in the field of Chinese biomedicine. Therefore, we also propose a series of Chinese bioMedical Language Models (CMedLMs) with detailed evaluations of downstream tasks. By using transfer learning, language models are introduced with prior knowledge to improve the performance of downstream tasks and solve specific predictive NLP tasks related to the Chinese biomedical field to serve the predictive medical system better. Additionally, a free-form text Electronic Medical Record (EMR)-based Disease Diagnosis Prediction task is proposed, which is used in the evaluation of the analyzed language models together with Clinical Named Entity Recognition, Biomedical Text Classification tasks. Our experiments prove that the introduction of biomedical knowledge in the analyzed models significantly improves their performance in the predictive biomedical NLP tasks with different granularity. And our proposed model also achieved competitive performance in these predictive intelligence tasks. ; over 3m from acceptance/publication Keyword: biomedical text mining; named entity recognition; natural language processing; pre-trained language model; predictive intelligence; text classification; transfer learning URL: http://hdl.handle.net/10547/625294 https://doi.org/10.1016/j.asoc.2021.107975 BASE Hide details 46 L'approche phénoménologique du langage de K. Bühler. La deixis pour présenter la réalité perceptive Leibenguth, Frédéric. - : Université de Genève, 2022 BASE Show details 47 Relationship between speech and other oromotor behaviors Lancheros Pompeyo, Monica Patricia. - : Université de Genève, 2022 BASE Show details 48 Early Modern German Shakespeare : "Titus Andronicus" and "The Taming of the Shrew" : "Tito Andronico" and "Kunst über alle Künste, ein bös Weib gut zu machen" in Translation Erne, Lukas Christian; Hazrat, Florence; Shmygol, Maria. - : Bloomsbury (London), 2022 BASE Show details 49 EOLE et patois : travailler le plurilinguisme avec les dialectes de la Galloromania Elmiger, Daniel; De Pietro, Jean-François In: ISBN: 978-2-88930-390-8 ; La Suisse romande et ses patois P. 363 p. (2022) BASE Show details 50 Imagined speech can be decoded from low- and cross-frequency intracranial EEG features Martin, Stéphanie; Doyle, Werner K.; Poeppel, David... In: ISSN: 2041-1723 ; Nature communications, Vol. 13, No 1 (2022) P. 48 (2022) BASE Show details 51 'People have probably offered to buy me a dictionary 20 times since I've been here': Risk management within a community of journalists in francophone Canada Davier, Lucile In: ISSN: 1740-357X ; The journal of specialised translation, Vol. 37 (2022) pp. 35-54 (2022) BASE Show details 52 Interpreting for the military: Creating communities of practice Ruiz Rosendo, Lucia In: ISSN: 1740-357X ; The journal of specialised translation, Vol. 37 (2022) pp. 16-34 (2022) BASE Show details 53 "Nous l'avons conquise cette langue française [.], nous l'avons habitée" : la prononciation du français en Martinique : une étude de perception Sittarame, Margaux. - : Université de Genève, 2022 BASE Show details 54 Prediction during simultaneous interpreting: Evidence from the visual-world paradigm Seeber, Kilian; Amos, Rhona; Pickering, Martin J. In: ISSN: 0010-0277 ; Cognition, Vol. 220 (2022) P. 104987 (2022) BASE Show details 55 Article 30: Cultural, Religious, and Linguistic Rights of Minority or Indigenous Children Arkadas-Thibert, Adem; Ruggiero, Roberta In: ISBN: 978-3-030-84646-6 ; Monitoring State Compliance with the UN Convention on the Rights of the Child. An Analysis of Attributes pp. 271-280 (2022) BASE Show details 56 LIMSI @ WMT’14 Medical Translation Task Yvon, François; Do, Quoc Khanh; Lavergne, Thomas. - : Association for Computational Linguistics, 2022 BASE Show details 57 Maastricht University’s Multilingual Speech Translation System for IWSLT 2021 Liu, Danni; Niehues, Jan. - : Association for Computational Linguistics, 2022 BASE Show details 58 Findings of the IWSLT 2020 Evaluation campaign Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022 BASE Show details 59 Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder Ha, Thanh-Le; Niehues, Jan; Waibel, Alex. - 2022 BASE Show details 60 The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017 Waibel, Alexander; Ha, Thanh-Le; Sperber, Matthias. - : Association for Computational Linguistics, 2022 BASE Show details Page: 1 2 3 4 5 6 7...289

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