Academia

2021. Fiorini, N.. PubMed 2.0 : biomedicine supported by artificial intelligence. Paris Sorbonne.
2020. Chavallard, P., Fiorini, N.. Searching the Law: a Doctrine case study. ECIR 2020, Springer.
2019. Fiorini, N.. Document understanding as a way to improve search relevance. SSE 2019.
2019. Fiorini, N.. Find Relevant Cases in All Cases: Your Journey at Doctrine. SIGIR 2019.
2019. Fiorini, N.. Find Relevant Cases in All Cases: Your Journey at Doctrine. Proceedings of the 42nd International ACM SIGIR, ACM.
2019. Sayers, E., Agarwala, R., Bolton, E., Brister, J. et al.. Database Resources of the National Center for Biotechnology Information. Nucleic Acid Research.
2018. Fiorini, N., Leaman, R., Lipman, D.J., Lu, Z.. How user intelligence is improving PubMed. Nature Biotechnology.
2018. Fiorini, N., Canese, K., Bryzgunov, R., Radetska, I. et al.. PubMed Labs: An experimental system for improving biomedical literature search. Database (Oxford).
2018. Fiorini, N., Canese, K., Starchenko, G., Kireev, E. et al.. Best Match: new relevance search for PubMed. PLoS Biology.
2018. Fiorini, N.. The new relevance search in PubMed. Allen Institute for Artificial Intelligence.
2018. Fiorini, N., Lu, Z.. Personalized neural language models for real-world query auto completion. Proceedings of the 2018 conference of NAACL-HLT, ACL.
2018. Fiorini, N.. AI & IR. Doctrine.
2018. Fiorini, N.. PubMed search and PubMed Labs. Elsevier.
2018. Mohan, S., Fiorini, N., Kim, S., Lu, Z.. A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval. Proceedings of the 27th WWW conference.
2018. Fiorini, N.. Fellows Award for Research Excellence. NIH.
2017. Anekalla, K.R., Courneya, J.P., Fiorini, N., Lever, J. et al.. PubRunner: A light-weight framework for updating text mining results. F1000 research, Hackathon collection.
2017. Fiorini, N., Lipman, D.J., Lu, Z.. Towards PubMed 2.0. eLife.
2017. Fiorini, N.. Special Act or Service Group Award for the development of PubMed Labs. NLM.
2017. Kim, S., Fiorini, N., Wilbur, W.J., Lu, Z.. Bridging the gap: incorporating a semantic similarity measure for effectively mapping PubMed queries to documents. Journal of Biomedical Informatics, Elsevier.
2017. Mohan, S., Fiorini, N., Kim, S., Lu, Z.. Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Limited Click Logs. Proceedings of the 2017 ACL Workshop on BioNLP.
2017. Fiorini, N.. PubMed Labs: A Sandbox Toward PubMed 2.0. Pi Day, NIH.
2016. Fiorini, N., Harispe, S., Ranwez, S., Montmain, J. et al.. Fast and reliable inference of semantic clusters. Knowledge-Based Systems, Elsevier.
2016. Medjkoune, M., Harispe, S., Montmain, J., Cariou, S., Fanlo, J.-L., Fiorini, N.. Towards a Non-oriented Approach for the Evaluation of Odor Quality. Proceedings of IPMU 2016, Springer.
2015. Fiorini, N.. Intelligent machines that help humans face huge data. University of Graz.
2015. Fiorini, N., Ranwez, S., Harispe, S., Montmain, J., and Ranwez, V.. USI at BioASQ 2015: a Semantic Similarity-Based Approach for Semantic Indexing. CLEF, CEUR Workshop Proceedings.
2015. Fiorini, N., Ranwez, S., Montmain, J., Ranwez, V.. USI: a fast and accurate approach for conceptual document annotation. BMC Bioinformatics.
2015. Fiorini, N., Harispe, S., Ranwez, S. Montmain, J., Ranwez, V.. Annotation sémantique de clusters. Proceedings of ROADEF.
2014. Fiorini, N., Lefort, V., Chevenet, F., Berry, V. et al.. CompPhy: a web-based Collaborative Platform for Comparing Phylogenies. BMC Evolutionary Biology.
2014. Fiorini, N., Ranwez, S., Ranwez, V. and Montmain, J.. Indexation conceptuelle par propagation. Application à un corpus d’articles scientifiques liés au cancer. Proceedings of CORIA.
2014. Fiorini, N., Ranwez, S., Montmain, J. and Ranwez, V.. Coping with imprecision during a semi-automatic conceptual indexing process. Proceedings of IPMU 2014, Springer.