Opinion: Strategy of Semi-Automatically Annotating a Full-Text Corpus of Genomics & Informatics
Genomics & Informatics
;
: e40-2018.
Article
in English
| WPRIM
| ID: wpr-739673
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Genomics
/
Informatics
Language:
English
Journal:
Genomics & Informatics
Year:
2018
Type:
Article
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