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A novel framework for biomedical entity sense induction
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In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01851988 ; Journal of Biomedical Informatics, Elsevier, 2018, 84, pp.31-41. ⟨10.1016/j.jbi.2018.06.007⟩ (2018)
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Biomedical term extraction: overview and a new methodology
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In: ISSN: 1386-4564 ; EISSN: 1573-7659 ; Information Retrieval Journal ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539 ; Information Retrieval Journal, Springer, 2016, Medical Information Retrieval, 19 (1), pp.59-99. ⟨10.1007/s10791-015-9262-2⟩ (2016)
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Yet Another Ranking Function for Automatic Multiword Term Extraction
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In: 9th International Conference on Natural Language Processing (PolTAL) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556 ; 9th International Conference on Natural Language Processing (PolTAL), Sep 2014, Warsaw, Poland. pp.52-64, ⟨10.1007/978-3-319-10888-9_6⟩ ; http://poltal.ipipan.waw.pl/ (2014)
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Integration of Linguistic and Web Information to Improve Biomedical Terminology Extraction
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In: 18th International Database Engineering & Applications Symposium ; IDEAS: International Database Engineering & Applications Symposium ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068547 ; IDEAS: International Database Engineering & Applications Symposium, Jul 2014, Porto, Portugal. pp.265-269, ⟨10.1145/2628194.2628208⟩ ; http://confsys.encs.concordia.ca/IDEAS/ideas14/ideas14.php (2014)
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Biomedical Terminology Extraction: A new combination of Statistical and Web Mining Approaches
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In: 13èmes Journées Internationales d'Analyse statistique des Données Textuelles ; JADT: Journées d'Analyse statistique des Données Textuelles ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01056598 ; JADT: Journées d'Analyse statistique des Données Textuelles, Jun 2014, Paris, France. pp.421-432 ; http://www.inalco.fr/evenement/jadt-2014-journees-internationales-analyse-statistique-donnees-textuelles (2014)
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Abstract:
International audience ; The objective of this work is to combine statistical and web mining methods for the automatic extraction, and ranking of biomedical terms from free text. We present new extraction methods that use linguistic patterns specialized for the biomedical field, and use term extraction measures, such as C-value, and keyword extraction measures, such as Okapi BM25, and TFIDF. We propose several combinations of these measures to improve the extraction and ranking process and we investigate which combinations are more relevant for different cases. Each measure gives us a ranked list of candidate terms that we finally re-rank with a new web-based measure. Our experiments show, first that an appropriate harmonic mean of C-value used with keyword extraction measures offers better precision results than used alone, either for the extraction of single-word and multi-words terms; second, that best precision results are often obtained when we re-rank using the web-based measure. We illustrate our results on the extraction of English and French biomedical terms from a corpus of laboratory tests available online in both languages. The results are validated by using UMLS (in English) and only MeSH (in French) as reference dictionary.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]; Biomedical Natural Language Processing (BioNLP); Biomedical Thesaurus; C-value; Statistic Measure; Text Mining; Web Mining
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URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01056598v2/file/JADT2014.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01056598
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01056598v2/document
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| 6 |
Towards a mixed approach to extract biomedical terms from text corpus
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In: ISSN: 1947-9115 ; EISSN: 1947-9123 ; International journal of Knowledge Discovery in Bioinformatics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00859846 ; International journal of Knowledge Discovery in Bioinformatics, IGI Global, 2014, 4 (1), pp.1-15. ⟨10.4018/ijkdb.2014010101⟩ ; http://www.igi-global.com/journal/international-journal-knowledge-discovery-bioinformatics/1143 (2014)
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| 7 |
Combining C-value and Keyword Extraction Methods for Biomedical Terms Extraction
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In: 5th International Symposium on Languages in Biology and Medicine ; LBM: Languages in Biology and Medicine ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01019991 ; LBM: Languages in Biology and Medicine, Dec 2013, Tokyo, Japan ; http://lbm2013.biopathway.org/ (2013)
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