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BioNLP 2011 Task Bacteria Biotope - The Alvis system

Abstract : This paper describes the system of the INRA Bibliome research group applied to the Bacteria Biotope (BB) task of the BioNLP 2011 shared tasks. Bacteria, geographical locations and host entities were processed by a pattern-based approach and domain lexical resources. For the extraction of environment locations, we propose a framework based on semantic analysis supported by an ontology of the biotope domain. Domain-specific rules were developed for dealing with Bacteria anaphora. Official results show that our Alvis system achieves the best performance of participating systems.
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Submitted on : Wednesday, June 3, 2020 - 1:11:27 PM
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  • HAL Id : hal-02748254, version 1
  • PRODINRA : 44915



Zorana Ratkovic, Wiktoria Golik, Pierre Warnier, Philippe Veber, Claire Nédellec. BioNLP 2011 Task Bacteria Biotope - The Alvis system. The 49th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies, Jun 2011, Portland, Oregon, United States. pp.206. ⟨hal-02748254⟩



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