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- W2142633727 abstract "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 semantic role on the given sentential constituent. This paper proposes a S/W tool, named as KOST (KOrean Semantic Tagger), to help the construction of the Korean semantic annotated corpus data including both Korean Proposition Bank (PropBank) and Sejong semantic annotated corpus. Human annotators can give a proper semantic tag easily to the given argument phrase with help of KOST. KOST shows a syntactic tagged sentence and highlights its predicate words. KOST also shows a frame structure of the given predicate word. With the given frame structure, human taggers can find the proper tag very easily. A Korean syntactic annotated corpus made by Korean Electronics and Telecommunications Research Institute (ETRI) is used for the target syntactic tagged corpus of semantic annotation." @default.
- W2142633727 created "2016-06-24" @default.
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- W2142633727 date "2012-01-01" @default.
- W2142633727 modified "2023-09-26" @default.
- W2142633727 title "KOST: Korean Semantic Tagger ver. 1.0" @default.
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- W2142633727 doi "https://doi.org/10.1007/978-3-642-35603-2_7" @default.
- W2142633727 hasPublicationYear "2012" @default.
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