In this paper we present a new annotation scheme for the Sejong part-of-speech tagged corpus based on Universal Dependencies style annotation. By using a new annotation scheme, we can produce Sejong-style morphological analysis and part-of-speech tagging results which have been the de facto standard for Korean language processing. We also explore the possibility of doing named-entity recognition and semantic-role labelling for Korean using the new annotation scheme.
CITATION STYLE
Park, J., & Tyers, F. (2019). A New Annotation Scheme for the Sejong Part-of-speech Tagged Corpus. In LAW 2019 - 13th Linguistic Annotation Workshop, Proceedings of the Workshop (pp. 195–202). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w19-4022
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