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A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT) [<Journal>]
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DNB Subject Category Language
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A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT)
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01631743 ; Language Resources and Evaluation, Springer Verlag, 2017, 52 (2), pp.571-601. ⟨10.1007/s10579-017-9382-y⟩ (2017)
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Annotation Guidelines BIONLP-ST 2016 SeeDev task
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In: https://hal.inrae.fr/hal-02795594 ; 2016, pp.47 ; https://sites.google.com/site/bionlpst2016/tasks/seedev/AnnotationGuidelinesBIONLP-ST2016-SeeDevtask%285%29.pdf (2016)
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Shared Task SeeDev : Extraction de régulations impliquées dans le développement de la graine d’Arabidopsis thaliana à partir de publications scientifiques
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In: Les journées Bioinformatique de l'Inra ; https://hal.archives-ouvertes.fr/hal-01455855 ; Les journées Bioinformatique de l'Inra, Mar 2016, Montpellier, France. pp.1 (2016)
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Overview of the regulatory network of plant seed development (SeeDev) task at the BioNLP shared task 2016
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Chaix, Estelle; Dubreucq, Bertrand; Fatihi, Abdelhak; Valsamou, Dialekti; Bossy, Robert; Ba, Mouhamadou; Deleger, Louise; Zweigenbaum, Pierre; Bessieres, Philippe; Lepiniec, Loic; Nédellec, Claire
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In: Proceedings of the 4th BioNLP Shared Task Workshop ; BioNLP Shared Task ; https://hal.archives-ouvertes.fr/hal-01455854 ; BioNLP Shared Task, Aug 2016, Berlin, Germany. pp.113 ; https://www.aclweb.org/anthology/W/W16/W16-3001.pdf (2016)
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Abstract:
This paper presents the SeeDev Task of the BioNLP Shared Task 2016. The purpose of the SeeDev Task is the extraction from scientific articles of the descriptions of genetic and molecular mechanisms involved in seed development of the model plant, Arabidopsis thaliana. The SeeDev task consists in the extraction of many different event types that involve a wide range of entity types so that they accurately reflect the complexity of the biological mechanisms. The corpus is composed of paragraphs selected from the full-texts of relevant scientific articles. In this paper, we describe the organization of the SeeDev task, the corpus characteristics, and the metrics used for the evaluation of participant systems. We analyze and discuss the final results of the seven participant systems to the test. The best F-score is 0.432, which is similar to the scores achieved in similar tasks on molecular biology.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SDV.BV]Life Sciences [q-bio]/Vegetal Biology; Arabidopsis Thaliana; BioNLP; corpus; F-score; Information extraction; Molecular; plant biology; plant development; Shared task; text-mining
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URL: https://hal.archives-ouvertes.fr/hal-01455854 https://hal.archives-ouvertes.fr/hal-01455854/file/overview_1.pdf https://hal.archives-ouvertes.fr/hal-01455854/document
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OntoBiotope, technologies sémantiques pour l’étude des habitats microbiens
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In: Méta-omiques des Ecosystèmes Microbiens ; https://hal.inrae.fr/hal-02889012 ; Méta-omiques des Ecosystèmes Microbiens, Sep 2015, Paris, France (2015)
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Information extraction from articles for the elaboration of the regulatory networks involved in Arabidopsis seed development
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In: 26th International Conference on Arabidopsis Research ; https://hal.archives-ouvertes.fr/hal-01524850 ; 26th International Conference on Arabidopsis Research, Jul 2015, Paris, France (2015)
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Knowledge model of regulatory networks involved in Arabidopsis seed development for information extraction and integration from text
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In: BioCreative 5 ; https://hal.archives-ouvertes.fr/hal-01512197 ; BioCreative 5, Sep 2015, Madrid, Spain (2015)
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Information extraction from articles for the elaboration of the regulatory networks involved in Arabidopsis seed development ...
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Information Extraction Challenge Gene Regulation Network in Arabidopsis thaliana (GRNA) ...
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Automatic computation of CHA2DS2-VASc score: information extraction from clinical texts for thromboembolism risk assessment.
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In: AMIA . Annual Symposium proceedings [electronic resource] / AMIA Symposium. AMIA Symposium. ; https://hal.archives-ouvertes.fr/hal-00748588 ; AMIA . Annual Symposium proceedings [electronic resource] / AMIA Symposium. AMIA Symposium., 2011, 2011, pp.501-10 (2011)
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Automatic computation of CHA2DS2-VASc score: Information extraction from clinical texts for thromboembolism risk assessment
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Named and specific entity detection in varied data: the Quaero named entity baseline evaluation
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In: 7. Conference on international language resources and evaluation ; https://hal.inrae.fr/hal-02754184 ; 7. Conference on international language resources and evaluation, May 2010, Valletta, Malta ; http://www.lrec-conf.org/proceedings/lrec2010/index.html (2010)
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Named and specific entity detection in varied data: The Quaero Named Entity baseline evaluation
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In: Seventh International Language Resources and Evaluation (LREC'10) ; https://hal.archives-ouvertes.fr/hal-02496836 ; Seventh International Language Resources and Evaluation (LREC'10), 2010, La Valette, Malta (2010)
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Morphosemantic parsing of medical compound words: Transferring a French analyzer to English
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In: ISSN: 1386-5056 ; International Journal of Medical Informatics ; https://hal.archives-ouvertes.fr/hal-00413362 ; International Journal of Medical Informatics, Elsevier, 2009, 78 (1), pp.48-55 (2009)
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Paraphrase Acquisition from Comparable Medical Corpora of Specialized and Lay Texts
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Analyse morphosémantique des composés savants : transposition du français à l'anglais
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In: TALN ; https://halshs.archives-ouvertes.fr/halshs-00157869 ; TALN, Jun 2007, Toulouse, France. pp.79-88 (2007)
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Defining Medical Words : Transposing Morphosemantic Analysis from French to English
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In: Proceedings of the 12th Medinfo Conference ; 12th International Conference MEDINFO ; https://halshs.archives-ouvertes.fr/halshs-00157857 ; 12th International Conference MEDINFO, Aug 2007, Brisbane, Australia. pp.535-539 (2007)
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