Abstract
The purpose of this study is to establish a method for identifying semantic relations in compound nouns in patent documents by using linguistic information. The information such as grammatical or semantic features plays a key role for analyzing semantic relations in compound nouns. We used the information about immediately succeeding case particles, adjective-forming suffixes and a verb suru “do” as grammatical features, concept classifications in EDR dictionary as semantic features. The performance of the fully automated statistical method was found to be good at 84% by using both grammatical and semantic features. This result shows advantage of our method.
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Uchiyama, K., Aihara, S., Ishizaki, S. (2008). Identifying Semantic Relations in Japanese Compound Nouns for Patent Documents Analysis. In: Tokunaga, T., Ortega, A. (eds) Large-Scale Knowledge Resources. Construction and Application. LKR 2008. Lecture Notes in Computer Science(), vol 4938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78159-2_8
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DOI: https://doi.org/10.1007/978-3-540-78159-2_8
Publisher Name: Springer, Berlin, Heidelberg
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