Natural language processing pipelines to annotate BioC collections with an application to the NCBI disease corpus-Reference-Cited by-同舟云学术

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Natural language processing pipelines to annotate BioC collections with an application to the NCBI disease corpus

Published:2014-06-16 Issue:0 Volume:2014 Page:bau056-bau056
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:Database

Author:

Comeau D. C.,Liu H.,Islamaj Do an R.,Wilbur W. J.

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/bau056/8246294/bau056.pdf

Reference18 articles.

1. BioC: a minimalist approach to interoperability for biomedical text processing

2. Evaluating contributions of natural language parsers to protein-protein interaction extraction

3. Approximate Subgraph Matching-Based Literature Mining for Biomedical Events and Relations

4. NCBI disease corpus: A resource for disease name recognition and concept normalization

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PMC text mining subset in BioC: about three million full-text articles and growing;Bioinformatics;2019-01-31

2. Biomedical Text Mining;Encyclopedia of Bioinformatics and Computational Biology;2019

3. iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature;Database;2018-01-01

4. PubMedPortable: A Framework for Supporting the Development of Text Mining Applications;PLOS ONE;2016-10-05

5. BioC viewer: a web-based tool for displaying and merging annotations in BioC;Database;2016

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