2019
ACL
ACL 2019
A New Annotation Scheme for the Sejong Part-of-speech Tagged Corpus
Abstract
AbstractIn 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.
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Interdisciplinary Bridge
- Interdisciplinary and Natural Language Processing
Authors
Topics
Natural Language Processing > Understanding > Named Entity Recognition
Natural Language Processing > Understanding > Part-of-Speech Tagging
Natural Language Processing > Resources & Methods > Text Representation
Interdisciplinary > Linguistics > Computational Linguistics
Interdisciplinary > Linguistics > Morphology