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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 Hits 1 – 20 of 57 1 Learning Disentangled Representations of Negation and Uncertainty ... Vasilakes, Jake; Zerva, Chrysoula; Miwa, Makoto. - : arXiv, 2022 BASE Show details 2 Natural language processing applied to mental illness detection: a narrative review Zhang, Tianlin; Schoene, Annika M.; Ji, Shaoxiong... In: NPJ Digit Med (2022) BASE Show details 3 Investigating Text Simplification Evaluation ... Vásquez-Rodríguez, Laura; Shardlow, Matthew; Przybyła, Piotr. - : arXiv, 2021 BASE Show details 4 Investigating Text Simplification Evaluation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ananiadou, Sophia; Przybyła, Piotr. - : Underline Science Inc., 2021 BASE Show details 5 Towards BERT-based Automatic ICD Coding: Limitations and Opportunities Pascual, Damian; Wattenhofer, Roger; Luck, Sandro In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021) BASE Show details 6 BioVAE: a pre-trained latent variable language model for biomedical text mining Trieu, Hai-Long; Miwa, Makoto; Ananiadou, Sophia In: Bioinformatics (2021) BASE Show details 7 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 8 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 9 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2020 BASE Show details 10 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ... Li, Maolin; Myrman, Arvid Fahlström; Mu, Tingting. - : arXiv, 2019 BASE Show details 11 Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ... Sahu, Sunil Kumar; Christopoulou, Fenia; Miwa, Makoto. - : arXiv, 2019 BASE Show details 12 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2019 BASE Show details 13 Improving reference prioritisation with PICO recognition Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019 BASE Show details 14 Improving clinical named entity recognition in Chinese using the graphical and phonetic feature Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019 Abstract: BACKGROUND: Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and phonetic information form Chinese characters. The method for Chinese should be different from that for English. Chinese characters present abundant information with the graphical features, recent research on Chinese word embedding tries to use graphical information as subword. This paper uses both graphical and phonetic features to improve Chinese Clinical Named Entity Recognition based on the presence of phono-semantic characters. METHODS: This paper proposed three different embedding models and tested them on the annotated data. The data have been divided into two sections for exploring the effect of the proportion of phono-semantic characters. RESULTS: The model using primary radical and pinyin can improve Clinical Named Entity Recognition in Chinese and get the F-measure of 0.712. More phono-semantic characters does not give a better result. CONCLUSIONS: The paper proves that the use of the combination of graphical and phonetic features can improve the Clinical Named Entity Recognition in Chinese. Keyword: Research URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927114/ https://doi.org/10.1186/s12911-019-0980-z http://www.ncbi.nlm.nih.gov/pubmed/31865903 BASE Hide details 15 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 16 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 17 Hypothesis, analysis and synthesis: it’s all Greek to me! ... Iliopoulos, Ioannis; Ananiadou, Sophia; Danchin, Antoine. - : figshare, 2018 BASE Show details 18 Constructing a biodiversity terminological inventory Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios. - : Public Library of Science, 2017 BASE Show details 19 Distributed Document and Phrase Co-embeddings for Descriptive Clustering Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017 BASE Show details 20 Enriching news events with meta-knowledge information [<Journal>] Thompson, Paul [Verfasser]; Nawaz, Raheel [Sonstige]; McNaught, John [Sonstige]. DNB Subject Category Language Show details Page: 1 2 3

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