Abstract
Japanese relative clause constructions (RCC’s) are defined as being the NP’s of structure ‘S NP’, noting the lack of a relative pronoun or any other explicit form of noun-clause demarcation. Japanese relative clause modification should be classified into at least two major semantic types: case-slot gapping and head restrictive. However, these types for relative clause modification cannot apparently be distinguished. In this paper we propose a method of identifying a RCC’s type with a machine learning technique. The features used in our approach are not only representing RCC’s characteristics, but also automatically obtained from large corpora. The results we obtained from evaluation revealed that our method outperformed the traditional case frame-based method, and the features that we presented were effective in identifying RCC’s types.
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Abekawa, T., Okumura, M. (2005). Corpus-Based Analysis of Japanese Relative Clause Constructions. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_5
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DOI: https://doi.org/10.1007/11562214_5
Publisher Name: Springer, Berlin, Heidelberg
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