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USI at BioASQ 2015: a Semantic Similarity-Based Approach for Semantic Indexing

Abstract : The need of indexing biomedical papers with the MeSH is incessantly growing and automated approaches are constantly evolving. Since 2013, the BioASQ challenge has been promoting those evolutions by proposing datasets and evaluation metrics. In this paper, we present our system, USI, and how we adapted it to participate to this challenge this year. USI is a generic approach, which means it does not directly take into account the content of the document to annotate. The results lead us to the conclusion that methods that solely rely on semantic annotations available in the corpus can already perform well compared to NLP-based approaches as our results always figure in the top ones.
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Conference papers
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https://hal.inrae.fr/hal-02740073
Contributor : Migration Prodinra <>
Submitted on : Tuesday, June 2, 2020 - 10:39:43 PM
Last modification on : Wednesday, September 8, 2021 - 3:53:27 AM

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  • HAL Id : hal-02740073, version 1
  • PRODINRA : 463840

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Nicolas Fiorini, Sylvie Ranwez, Sébastien Harispe, Jacky Montmain, Vincent Ranwez. USI at BioASQ 2015: a Semantic Similarity-Based Approach for Semantic Indexing. Conference and Labs of the Evaluation Forum (CLEF 2015), Sep 2015, Toulouse, France. ⟨hal-02740073⟩

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