A systematic review of named entity recognition in biomedical texts

Autor:	Rodrigo Goulart, Vera Lúcia Strube de Lima, Clarissa Castellã Xavier
Rok vydání:	2011
Předmět:	Parsing General Computer Science Computer science business.industry Automatic processing computer.software_genre Named entity Entity linking Named-entity recognition Artificial intelligence business computer Natural language processing Period (music) Computer Science(all)
Zdroj:	Journal of the Brazilian Computer Society. 17:103-116
ISSN:	1678-4804 0104-6500
DOI:	10.1007/s13173-011-0031-9
Popis:	Biomedical Named Entities (NEs) are phrases or combinations of phrases that denote specific objects or groups of objects in the biomedical literature. Research on Named Entity Recognition (NER) is one of the most disseminated activities in the automatic processing of biomedical scientific articles. We analyzed articles relevant to NER in biomedical texts, in the period from 2007 to 2009, through a systematic review. The results identify the main methods in the recognition of Biomedical NEs, features and methodologies for a NER system implementation. Aside from the tendencies identified, some gaps are detected that may constitute opportunities for new studies in the area.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b4b0e962d90b950a4091aa2264da1f3 https://doi.org/10.1007/s13173-011-0031-9 Zobrazit plný text záznamu Full text from SpringerLink