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http://dx.doi.org/10.3745/KIPSTB.2012.19B.1.043

A Development of the Automatic Predicate-Argument Analyzer for Construction of Semantically Tagged Korean Corpus  

Cho, Jung-Hyun (한림대학교 컴퓨터공학과)
Jung, Hyun-Ki (한림대학교 컴퓨터공학과)
Kim, Yu-Seop (한림대학교 유비쿼터스컴퓨팅학과)
Publication Information
The KIPS Transactions:PartB / v.19B, no.1, 2012 , pp. 43-52 More about this Journal
Abstract
Semantic role labeling is the research area analyzing the semantic relationship between elements in a sentence and it is considered as one of the most important semantic analysis research areas in natural language processing, such as word sense disambiguation. However, due to the lack of the relative linguistic resources, Korean semantic role labeling research has not been sufficiently developed. We, in this paper, propose an automatic predicate-argument analyzer to begin constructing the Korean PropBank which has been widely utilized in the semantic role labeling. The analyzer has mainly two components: the semantic lexical dictionary and the automatic predicate-argument extractor. The dictionary has the case frame information of verbs and the extractor is a module to decide the semantic class of the argument for a specific predicate existing in the syntactically annotated corpus. The analyzer developed in this research will help the construction of Korean PropBank and will finally play a big role in Korean semantic role labeling.
Keywords
Semantic Analysis; Semantic Role Labeling; Automatic Argument-Predicate Analyzer; Semantic Lexical Dictionary; Automatic Predicate-Argument Extractor; PropBank;
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