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An annotated dataset for extracting gene-melanoma relations from scientific literature
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In: J Biomed Semantics (2022)
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Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis LOUHI@EACL 2021
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In: EMNLP 2021 ; https://hal.archives-ouvertes.fr/hal-03483374 ; EMNLP 2021, 2021 ; https://aclanthology.org/2021.louhi-1.0/ (2021)
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Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish. ...
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Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish
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In: Shaitarova, Anastassia; Rinaldi, Fabio (2021). Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, Online, 6 June 2021 - 11 June 2021, ACL Anthology. (2021)
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Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2020, Online, November 20, 2020.
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In: https://halshs.archives-ouvertes.fr/halshs-03102506 ; Association for Computational Linguistics 2020. 2020, 978-1-952148-81-1 ; https://www.aclweb.org/anthology/volumes/2020.louhi-1/ (2020)
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COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media ...
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Abstract:
Social media platforms offer extensive information about the development of the COVID-19 pandemic and the current state of public health. In recent years, the Natural Language Processing community has developed a variety of methods to extract health-related information from posts on social media platforms. In order for these techniques to be used by a broad public, they must be aggregated and presented in a user-friendly way. We have aggregated ten methods to analyze tweets related to the COVID-19 pandemic, and present interactive visualizations of the results on our online platform, the COVID-19 Twitter Monitor. In the current version of our platform, we offer distinct methods for the inspection of the dataset, at different levels: corpus-wide, single post, and spans within each post. Besides, we allow the combination of different methods to enable a more selective acquisition of knowledge. Through the visual and interactive combination of various methods, interconnections in the different outputs can be ...
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Keyword:
Computer and Information Science; Digital Media; Health Sciences; Machine Learning and Data Mining
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URL: https://dx.doi.org/10.48448/ader-2189 https://underline.io/lecture/6457-covid-19-twitter-monitor-aggregating-and-visualizing-covid-19-related-trends-in-social-media
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SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces ...
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Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
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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) ...
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UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition ...
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Approaching SMM4H with Merged Models and Multi-task Learning
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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)
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Revisiting the decay of scientific email addresses
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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
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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)
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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
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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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UZH@SMM4H: System Descriptions
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In: Ellendorff, Tilia; Cornelius, Joseph; Gordon, Heath; Colic, Nicola; Rinaldi, Fabio (2018). UZH@SMM4H: System Descriptions. In: SMM4H: The 3rd Social Media Mining for Health Applications Workshop and Shared Task, Brussels, 30 November 2018 - 30 November 2018, 56-60. (2018)
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Learning Representations for Biomedical Named Entity Recognition
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In: Lauriola, Ivano; Sella, Riccardo; Aiolli, Fabio; Lavelli, Alberto; Rinaldi, Fabio (2018). Learning Representations for Biomedical Named Entity Recognition. In: 2nd workshop on Natural Language for Artificial Intelligence, Trento, 22 November 2018 - 23 November 2018. s.n., 83-94. (2018)
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Learning Preferences for Large Scale Multi-label Problems
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In: Lauriola, Ivano; Polato, Mirko; Lavelli, Alberto; Rinaldi, Fabio; Aiolli, Fabio (2018). Learning Preferences for Large Scale Multi-label Problems. In: International Conference on Artificial Neural Networks, Rhodes, Greece, 4 October 2018 - 7 October 2018. Springer, 546-555. (2018)
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OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task
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In: Furrer, Lenz; Rinaldi, Fabio (2017). OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task. In: BioCreative V.5 Challenge Evaluation Workshop, Barcelona, Spain, 26 April 2017 - 27 April 2017, 175-182. (2017)
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