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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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SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces ...
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Abstract:
Lexical semantic change detection (also known as semantic shift tracing) is a task of identifying words that have changed their meaning over time. Unsupervised semantic shift tracing, focal point of SemEval2020, is particularly challenging. Given the unsupervised setup, in this work, we propose to identify clusters among different occurrences of each target word, considering these as representatives of different word meanings. As such, disagreements in obtained clusters naturally allow to quantify the level of semantic shift per each target word in four target languages. To leverage this idea, clustering is performed on contextualized (BERT-based) embeddings of word occurrences. The obtained results show that our approach performs well both measured separately (per language) and overall, where we surpass all provided SemEval baselines. ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2010.00857 https://dx.doi.org/10.48550/arxiv.2010.00857
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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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