Journal of Advanced Marine Engineering and Technology

The Korean Society of Marine Engineering (한국마린엔지니어링학회)
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Word sense disambiguation using dynamic sized context and distance weighting

가변 크기 문맥과 거리가중치를 이용한 동형이의어 중의성 해소

  • Lee, Hyun Ah (Department of Computer Software Engineering, Kumoh National Institute of Technology)
  • Received : 2014.01.27
  • Accepted : 2014.05.08
  • Published : 2014.05.31
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Abstract

Most researches on word sense disambiguation have used static sized context regardless of sentence patterns. This paper proposes to use dynamic sized context considering sentence patterns and distance between words for word sense disambiguation. We evaluated our system 12 words in 32,735sentences with Sejong POS and sense tagged corpus, and dynamic sized context showed 92.2% average accuracy for predicates, which is better than accuracy of static sized context.

의미 중의성 해소를 위한 대부분의 기존 연구에서는 문장의 특성에 상관없이 고정적인 크기의 문맥을 사용해 왔다. 본 논문에서는 중의성 해소에서 문장에 따라 가변적인 크기의 문맥을 사용하는 가변길이 윈도우와 단어간 거리를 사용한 의미분석 방법을 제안한다. 세종코퍼스의 형태의미분석 말뭉치로 학습하여 12단어 32,735문장에 대해 실험한 결과에서 제안된 방법이 용언에 대하여 92.2%의 평균 정확도를 보여 고정 크기의 문맥을 사용한 경우에 비해 향상된 결과를 보였다.

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References

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