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Chapter and Conference Paper
A Multi-phase Semi-supersense Tagging of Korean Unknown Nouns
Supersense tagging is a problem of finding a corresponding semantic super tag (eg. Phenomenon, Act) based on syntactic information and annotated corpora. However, we employ semantic information rather than syn...
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Chapter and Conference Paper
KOST: Korean Semantic Tagger ver. 1.0
Despite that the semantic annotated corpus data is necessary in semantic role labeling of natural language processing, the data set is not quite enough in Korean language. Semantic role labeling is to tag a se...
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Chapter and Conference Paper
Construction of Korean Semantic Annotated Corpus
Semantic role labeling is to determine semantic relationships between a predicate and its arguments in a sentence. Although semantic annotated corpus should be necessary to do the labeling, unfortunately, Kore...