FrameNet-Based Shallow Semantic Parsing with a POS Tagger(Artificial Intelligence II)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

概要

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In this paper we propose a FrameNet-based shallow semantic parsing without syntactic parsing. Previous studies on shallow semantic parsing utilize the results of syntactic parsing of input sentences as input data. However, syntactic parsing has well-known shortfalls, such as large amount of computation and insufficient accuracy etc… Further-more, when use of syntactic parsing is premised, it limits applicable languages, since good syntactic parser is rarely available. To prevent such undesirable consequences in shallow semantic parsing, we propose to use POS tagger instead of syntactic parsing. Our experiments using FrameNetll data as training and test data showed the same level performance as existing methods using syntactic parsing.
社団法人電子情報通信学会の論文
2004-11-30