GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction

Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic...

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Detalles Bibliográficos
Autores principales: Oh, So-Yeon, Kim, Ji-Hyeon, Kim, Seo-Jin, Nam, Hee-Jo, Park, Hyun-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Gastrointestinal Intervention 2018
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187819/
https://www.ncbi.nlm.nih.gov/pubmed/30309207
http://dx.doi.org/10.5808/GI.2018.16.3.75
Descripción
Sumario:Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining.

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