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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 Hits 1 – 16 of 16 1 Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings Antunes, Rui; Silva, João Figueira; Matos, Sérgio. - : Association for Computing Machinery, 2020 Abstract: The wide adoption of electronic health records (EHRs) has fostered an improvement in healthcare quality, with EHRs currently representing a major source of medical information. Nevertheless, this process has also brought new challenges to the medical environment since the facilitated replication of information (e.g. using copy-paste) has resulted in less concise and sometimes incorrect information, which hinders the understandability of this data and can compromise the quality of medical decisions drawn from it. Due to the high volume and redundancy in medical data, it is imperative to develop solutions that can condense information whilst retaining its value, with a possible methodology involving the assessment of the semantic similarity between clinical text excerpts. In this paper we present an approach that explores neural networks and different types of text preprocessing pipelines, and that evaluates the impact of using word embeddings or sentence embeddings. We present the results following our participation in the n2c2 shared-task on clinical semantic textual similarity, perform an error analysis and discuss obtained results along with possible future improvements. ; published Keyword: Clinical information extraction; Deep learning; Natural language processing; Semantic textual similarity; Sentence embeddings URL: https://doi.org/10.1145/3341105.3373987 http://hdl.handle.net/10773/31473 BASE Hide details 2 Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model Silva, Jorge M.; Pinho, Eduardo; Matos, Sérgio... In: Entropy (Basel) (2020) BASE Show details 3 Understanding Depression from Psycholinguistic Patterns in Social Media Texts Trifan, Alina; Antunes, Rui; Matos, Sérgio. - 2020 BASE Show details 4 Historiografia e Res Publica nos últimos dois séculos Matos, Sérgio Campos; João, Maria Isabel. - : Centro de História da Universidade de Lisboa, 2018 BASE Show details 5 Introdução Matos, Sérgio Campos; João, Maria Isabel. - : Centro de História da Universidade de Lisboa, 2018 BASE Show details 6 Biomedical word sense disambiguation with word embeddings Antunes, Rui; Matos, Sérgio. - : Springer, 2017 BASE Show details 7 Evaluation of word embedding vector averaging functions for biomedical word sense disambiguation Antunes, Rui; Matos, Sérgio. - : UA Editora, 2017 BASE Show details 8 Overview of the interactive task in BioCreative V Wang, Qinghua; Abdul, Shabbir S.; Almeida, Lara... In: ISSN: 1758-0463 ; EISSN: 1758-0463 ; Database - The journal of Biological Databases and Curation ; https://hal.archives-ouvertes.fr/hal-01469079 ; Database - The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw119⟩ ; https://academic.oup.com/database/article-lookup/doi/10.1093/database/baw119 (2016) BASE Show details 9 The CHEMDNER corpus of chemicals and drugs and its annotation principles Krallinger, Martin; Rabal, Obdulia; Leitner, Florian. - : BioMed Central, 2015 BASE Show details 10 An Overview of Biomolecular Event Extraction from Scientific Documents Vanegas, Jorge A.; Matos, Sérgio; González, Fabio. - : Hindawi Publishing Corporation, 2015 BASE Show details 11 Mining biomedical information from scientific literature ; Mineração de informação biomédica a partir de literatura científica Campos, David Emmanuel Marques. - : Universidade de Aveiro, 2013 BASE Show details 12 Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases Krallinger, Martin; Vazquez, Miguel; Leitner, Florian... In: Krallinger, Martin; Vazquez, Miguel; Leitner, Florian; Salgado, David; Chatr-aryamontri, Andrew; Winter, Andrew; et al.(2011). Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases. BMC Bioinformatics, 12(Suppl 8), S3. doi: http://dx.doi.org/10.1186/1471-2105-12-S8-S3. Retrieved from: http://www.escholarship.org/uc/item/44z3n3v1 (2011) BASE Show details 13 The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text Krallinger, Martin; Vazquez, Miguel; Leitner, Florian... In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.archives-ouvertes.fr/hal-01780325 ; BMC Bioinformatics, BioMed Central, 2011, 12 (Suppl 8), ⟨10.1186/1471-2105-12-S8-S3⟩ (2011) BASE Show details 14 Corpógrafo and NooJ: using linguistic resources to obtain aligned concordances from corpora Matos, Sérgio; Barreiro, Anabela; Maia, Belinda. - 2008 BASE Show details 15 Interpretações temporais de sintagmas com a preposição Em Matos, Sérgio In: http://aleph.letras.up.pt/F?func=find-b&find_code=SYS&request=000145509 (1998) BASE Show details 16 Linguística e informática : perspectivas recentes do computador em linguística aplicada e descritiva Matos, Sérgio In: http://aleph.letras.up.pt/F?func=find-b&find_code=SYS&request=000189478 (1989) BASE Show details

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