NLP @ IDSIA

Table of Contents

This page lists recent publications of the members of the NLP Team at IDSIA. NLP Team at IDSIA (Swiss AI Lab / Istituto Dalle Molle per l'Intelligenza Artificiale).

Recent publications

  • Ensieh Davoodijam, Nasser Ghadiri, Maryam Lotfi Shahreza, Fabio Rinaldi MultiGBS: A multi-layer graph approach to biomedical summarization. Journal of Biomedical Informatics. Volume 116, April 2021, 103706. https://authors.elsevier.com/a/1cey45SMDQj02a [temporary link] doi: 10.1016/j.jbi.2021.103706
  • Irene Zühlke, John Berezowski, Michèle Bodmer, Susanne Küker, Anne Göhring, Fabio Rinaldi, Céline Faverjon, Corinne Gurtner. Factors associated with cattle necropsy submissions in Switzerland, and their importance for surveillance. Preventive Veterinary Medicine, Volume 187, 2021, 105235, ISSN 0167-5877. doi: 10.1016/j.prevetmed.2020.105235
  • Nico Colic, Patrick Beeler, Chantal Csajka, Vasiliki Foufi, Frederic Gaspar, Marie-Annick Le Pogam, Angela Lisibach, Christian Lovis, Monika Lutters and Fabio Rinaldi. Automated detection of adverse drug events from older patients’ electronic medical records using text mining. The international Workshop on Artificial Intelligence for Healthcare applications, January 2021. doi: 10.1007/978-3-030-68763-215
  • Joseph Cornelius, Tilia Ellendorff, Lenz Furrer, Fabio Rinaldi (2020). COVID-19 Twitter Monitor: Aggregating and visualizing COVID-19 related social media mining. In: Proceedings of the 5th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, Barcelona, Spain, 8-13 December 2020. paper
  • Nico Colic, Lenz Furrer, Fabio Rinaldi. Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. doi: 10.18653/v1/2020.nlpcovid19-2.27
  • Lenz Furrer, Joseph Cornelius, Fabio Rinaldi (2020). Parallel sequence tagging for concept recognition. arXiv:2003.07424
  • Vani, K., Mellace, S., & Antonucci, A. (2020). Temporal Embeddings and Transformer Models for Narrative Text Understanding. In Proceedings of the Text2StoryIR'20 Workshop @ ECIR. arXiv:2003.08811 [BEST PAPER AWARD!]
  • Oita, M., Vani, K., & Oezdemir-Zaech, F. (2020). Semantically Corroborating Neural Attention for Biomedical Question Answering. In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II (pp. 670-685). Springer International Publishing. doi: 10.1007/978-3-030-43887-660
  • Volpetti, C., Vani, K, and Antonucci, A (2020). Temporal Word Embeddings for Narrative Understanding. ICMLC.
  • Vani, K., and Antonucci, A (2019). NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning. Text2Story@ ECIR.
  • 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. doi: 10.18653/v1/W19-3208
  • Raul Rodriguez-Esteban, Dina Vishnyakova, Fabio Rinaldi (2019). Revisiting the decay of scientific email addresses. bioRxiv 633255; doi: 10.1101/633255
  • Vishnyakova, D., Rodriguez-Esteban, R., Rinaldi, F. (2019). A new approach and gold standard toward author disambiguation in MEDLINE. J Am Med Inform Assoc 26(10), pp. 1037–1045. doi: 10.1093/jamia/ocz028
  • Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani (2019). JMIR Med Inform, vol. 7, iss. 2. doi: 10.2196/12239
  • Kim, J.D., Cohen, K.B., Collier, N., Lu, Z., Rinaldi, F. (2019). Introduction to BLAH5 special issue: recent progress on interoperability of biomedical text mining. Genomics Inform 17(2), pp. E12. doi: 10.5808/GI.2019.17.2.e12
  • Colic, N. and Rinaldi, F. Improving spaCy dependency annotation and PoS tagging web service using independent NER services. Genomics Inform. 2019;17(2):e21. doi: 10.5808/GI.2019.17.2.e21
  • Furrer, Lenz; Jancso, Anna; Colic, Nicola; Rinaldi, Fabio (2019). OGER++: hybrid multi-type entity recognition. Journal of Cheminformatics, 11(1):7. doi: 10.1186/s13321-018-0326-3
  • Susanne Küker, Celine Faverjon, Lenz Furrer, John Berezowski, Horst Posthaus, Fabio Rinaldi and Flavie Vial. The value of necropsy reports for animal health surveillance. BMC Veterinary Research (2018) 14:191. doi: 10.1186/s12917-018-1505-1
  • Marco Basaldella, Lenz Furrer, Carlo Tasso, Fabio Rinaldi. Entity Recognition in the Biomedical domain using a hybrid approach. Journal of Biomedical Semantics (2017), 8:51. doi: 10.1186/s13326-017-0157-6
  • Balderas-Martínez YI, Rinaldi F, Contreras G, Solano-Lira H, Sánchez-Pérez M, Collado-Vides J, Selman M, Pardo A; Improving biocuration of microRNAs in diseases: a case study in idiopathic pulmonary fibrosis. Database (Oxford) 2017; 2017 (1): bax030. doi: 10.1093/database/bax030
  • Fabio Rinaldi, Oscar Lithgow, Socorro Gama-Castro, Hilda Solano, Alejandra Lopez, Luis José Muñiz Rascado, Cecilia Ishida-Gutiérrez, Carlos-Francisco Méndez-Cruz, Julio Collado-Vides; Strategies towards digital and semi-automated curation in RegulonDB. Database (Oxford) 2017; 2017 (1): bax012. doi: 10.1093/database/bax012

Author: Fabio Rinaldi

Created: 2021-03-18 Thu 23:18

Validate