-
Chapter and Conference Paper
An Intelligent Grading System Using Heterogeneous Linguistic Resources
In this paper, we propose an intelligent grading system using heterogeneous linguistic resources. We used latent semantic kernel as one resource in former research and found that a deficit of indexed terms gav...
-
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...
-
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...