Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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Opinion: Strategy of Semi-Automatically Annotating a Full-Text Corpus of Genomics & Informatics

  • Park, Hyun-Seok (Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University)
  • Received : 2018.12.13
  • Accepted : 2018.12.20
  • Published : 2018.12.31
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Abstract

There is a communal need for an annotated corpus consisting of the full texts of biomedical journal articles. In response to community needs, a prototype version of the full-text corpus of Genomics & Informatics, called GNI version 1.0, has recently been published, with 499 annotated full-text articles available as a corpus resource. However, GNI needs to be updated, as the texts were shallow-parsed and annotated with several existing parsers. I list issues associated with upgrading annotations and give an opinion on the methodology for developing the next version of the GNI corpus, based on a semi-automatic strategy for more linguistically rich corpus annotation.

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References

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