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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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Abstract:
Negation is a linguistic universal that poses difficulties for cognitive and computational processing. Despite many advances in text analytics, negation resolution remains an acute and continuously researched question in Natural Language Processing. Reliable negation parsing affects results in biomedical text mining, sentiment analysis, machine translation, and many other fields. The availability of multilingual pre-trained general representation models makes it possible to experiment with negation detection in languages that lack annotated data. In this work we test the performance of two state-of-the-art contextual representation models, Multilingual BERT and XLM-RoBERTa. We resolve negation scope by conducting zero-shot transfer between English, Spanish, French, and Russian. Our best result amounts to a token-level F1-score of 86.86% between Spanish and Russian. We correlate these results with a linguistic negation typology and lexical capacity of the models.
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Keyword:
000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
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URL: https://doi.org/10.18653/v1/2021.naacl-srw.3 https://www.zora.uzh.ch/id/eprint/205787/ https://doi.org/10.5167/uzh-205787 https://www.zora.uzh.ch/id/eprint/205787/1/2021.naacl-srw.3.pdf https://aclanthology.org/2021.naacl-srw.3/
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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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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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