Opinion: Strategy of Semi-Automatically Annotating Full Text Corpus of Genomics & Informatics

다국어 초록 (Multilingual Abstract)

There is a community need for an annotated corpus consisting of the full texts of biomedical journal articles. In response to community needs, a prototype version of full text corpus of Genomics & Informatics, called GNI version 1.0 has been recently 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 opinion on methodology to develop next version of GNI corpus based on a semi-automatic strategy for more linguistically rich corpus annotation.

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