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- W3048409488 abstract "This article sketches the development of a method for mining concepts applied on medical corpora in Spanish. Such method is based in the approach formulated by Ananiadou and McNaught, who give a special relevance to the need to create and use natural language processing (NLP) tools, in order to extract information from large collections of documents, such as PubMed (www.ncbi.nlm.nih.gov/pubmed/). Thanks to this repository, projects such as the Corpus Genia (www.geniaproject.org), the MEDIE search engine (www.nactem.ac.uk/medie/), which considers syntactic criteria and semantics to extract medical concepts, or the Open Biological and Biomedical Ontology Project (http://obofoundry.org/), which focuses on the development of ontologies that provide an organized knowledge system in biomedicine. Particularly, this proposal focused in two objectives: (1) the extraction of specialized terms and (2) the identification of lexical-semantic relationships, in concrete hyponymy/hypernymy and meronymy." @default.
- W3048409488 created "2020-08-18" @default.
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- W3048409488 date "2021-01-01" @default.
- W3048409488 modified "2023-09-27" @default.
- W3048409488 title "Designing a Concept-Mining Model for the Extraction of Medical Information in Spanish" @default.
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- W3048409488 doi "https://doi.org/10.4018/978-1-7998-3479-3.ch059" @default.
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