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ERIC Number: ED571607
Record Type: Non-Journal
Publication Date: 2016-Dec
Pages: 8
Abstractor: As Provided
Reference Count: N/A
Method to Identify Deep Cases Based on Relationships between Nouns, Verbs, and Particles
Ide, Daisuke; Kimura, Masaomi
International Association for Development of the Information Society, Paper presented at the International Conferences on Internet Technologies & Society (ITS), Education Technologies (ICEduTECH), and Sustainability, Technology and Education (STE) (Melbourne, Australia, Dec 6-8, 2016)
Deep cases representing the significant meaning of nouns in sentences play a crucial role in semantic analysis. However, a case tends to be manually identified because it requires understanding the meaning and relationships of words. To address this problem, we propose a method to predict deep cases by analyzing the relationship between nouns, verbs, and supplemental words, such as particles, in Japanese sentences. We also propose new deep cases based on a verb thesaurus and a deep case prediction method using a neural network. [For full proceedings, see ED571459.]
International Association for the Development of the Information Society. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A