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Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
In: https://hal.archives-ouvertes.fr/hal-02992403 ; Association for Computational Linguistics. Nov 2019, Hong Kong, 2019, 978-1-950737-77-2 ; https://www.aclweb.org/anthology/D19-6200/ (2019)
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Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019) ...
Holderness, Eben; Yepes, Antonio Jimeno; Lavelli, Alberto. - : Association for Computational Linguistics, 2019
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UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition ...
Furrer, Lenz; Cornelius, Joseph; Rinaldi, Fabio. - : Association for Computational Linguistics, 2019
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Approaching SMM4H with Merged Models and Multi-task Learning
In: Ellendorff, Tilia; Furrer, Lenz; Colic, Nicola; Aepli, Noëmi; Rinaldi, Fabio (2019). Approaching SMM4H with Merged Models and Multi-task Learning. In: Proceedings of the 4th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, Florence, Italy, 2 August 2019 - 2 August 2019, 58-61. (2019)
Abstract: We describe our submissions to the 4th edition of the Social Media Mining for Health Applications (SMM4H) shared task. Our team (UZH) participated in two sub-tasks: Automatic classifications of adverse effects mentions in tweets (Task 1) and Generalizable identification of personal health experience mentions (Task 4). For our submissions, we exploited ensembles based on a pre-trained language representation with a neural transformer architecture (BERT) (Tasks 1 and 4) and a CNN-BiLSTM(-CRF) network within a multi-task learning scenario (Task 1). These systems are placed on top of a carefully crafted pipeline of domain-specific preprocessing steps.
Keyword: 000 Computer science; 410 Linguistics; Digital Society Initiative; Institute of Computational Linguistics; knowledge & systems
URL: https://www.zora.uzh.ch/id/eprint/173922/1/Ellendorff_%26al_SMM4H2019.pdf
https://www.aclweb.org/anthology/W19-3208/
https://doi.org/10.5167/uzh-173922
https://www.zora.uzh.ch/id/eprint/173922/
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Revisiting the decay of scientific email addresses
In: Rodriguez-Esteban, Raul; Vishnyakova, Dina; Rinaldi, Fabio (2019). Revisiting the decay of scientific email addresses. bioRxiv 633255, University of Zurich. (2019)
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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
In: Sheikhalishahi, Seyedmostafa; Miotto, Riccardo; Dudley, Joel T; Lavelli, Alberto; Rinaldi, Fabio; Osmani, Venet (2019). Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. JMIR Medical Informatics, 7(2):e12239. (2019)
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Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
In: Holderness, Eben; Yepes, Antonio Jimeno; Lavelli, Alberto; Minard, Anne-Lyse; Pustejovsky, James; Rinaldi, Fabio (2019). Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019). In: Association for Computational Linguistics, Hong Kong, November, Hong Kong, 2019 - 2019. (2019)
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Improving spaCy dependency annotation and PoS tagging web service using independent NER services
In: Colic, Nicola; Rinaldi, Fabio (2019). Improving spaCy dependency annotation and PoS tagging web service using independent NER services. Genomics & Informatics, 17(2):e21. (2019)
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