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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 43 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) Abstract: Automatic ICD coding is the task of assigning codes from the International Classification of Diseases (ICD) to medical notes. These codes describe the state of the patient and have multiple applications, e.g., computer-assisted diagnosis or epidemiological studies. ICD coding is a challenging task due to the complexity and length of medical notes. Unlike the general trend in language processing, no transformer model has been reported to reach high performance on this task. Here, we investigate in detail ICD coding using PubMedBERT, a state-of-the-art transformer model for biomedical language understanding. We find that the difficulty of fine-tuning the model on long pieces of text is the main limitation for BERT-based models on ICD coding. We run extensive experiments and show that despite the gap with current state-of-the-art, pretrained transformers can reach competitive performance using relatively small portions of text. We point at better methods to aggregate information from long texts as the main need for improving BERT-based ICD coding. URL: https://hdl.handle.net/20.500.11850/497651 https://doi.org/10.3929/ethz-b-000497651 BASE Hide 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 Improving reference prioritisation with PICO recognition Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019 BASE Show details 8 Improving clinical named entity recognition in Chinese using the graphical and phonetic feature Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019 BASE Show details 9 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 10 Identification of research hypotheses and new knowledge from scientific literature ... Shardlow, Matthew; Batista-Navarro, Riza; Thompson, Paul. - : Figshare, 2018 BASE Show details 11 Constructing a biodiversity terminological inventory Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios. - : Public Library of Science, 2017 BASE Show details 12 Distributed Document and Phrase Co-embeddings for Descriptive Clustering Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017 BASE Show details 13 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 14 A Cross-Lingual Similarity Measure for Detecting Biomedical Term Translations Bollegala, Danushka; Kontonatsios, Georgios; Ananiadou, Sophia. - : Public Library of Science, 2015 BASE Show details 15 Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary Xu, Yan; Chen, Luoxin; Wei, Junsheng. - : BioMed Central, 2015 BASE Show details 16 A Cross-Lingual Similarity Measure for Detecting Biomedical Term Translations Bollegala, Danushka; Ananiadou, Sophia; Kontonatsios, Georgios. - 2015 BASE Show details 17 Generalising semantic category disambiguation with large lexical resources for fun and profit Stenetorp, Pontus; Pyysalo, Sampo; Ananiadou, Sophia. - : BioMed Central, 2014 BASE Show details 18 Argo: an integrative, interactive, text mining-based workbench supporting curation Rak, Rafal; Rowley, Andrew; Black, William. - : Oxford University Press, 2012 BASE Show details 19 Automatic Extraction of Angiogenesis Bio-Process from Text Wang, Xinglong; McKendrick, Iain; Barrett, Ian. - : Oxford University Press, 2011 BASE Show details 20 Automatic extraction of angiogenesis bioprocess from text Wang, Xinglong; McKendrick, Iain; Barrett, Ian. - : Oxford University Press, 2011 BASE Show details Page: 1 2 3

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