ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

An example-based approach to semantic information extraction from Japanese spontaneous speech

Otoya Shirotsuka, Ken'Ya Murakami

Dealing with the linguistic phenomena of spontaneous speech by the existing rule-based approach requires the preparation of complex analysis rules, which takes a great deal of effort. This paper describes a new method of extracting semantic information extraction from Japanese spontaneous speech by an example-based approach (EBA). Compared to the rule-based approach, EBA is robust and requires little effort for knowledge acquisition and its formation. In experimental evaluations of a semantic information extractor based on EBA, transcriptions of one hundred spontaneous dialogues are used as an example corpus and a testing corpus. The best performances of the extractor are 81.6% for precision rate and 62.2% for coverage rate in semantic feature extraction. The results suggest that our method is robust against unknown words and ill-formed sentences, and the extractor proved that EBA can be used as an effective tool for extracting semantic information from spontaneous speech.


Cite as: Shirotsuka, O., Murakami, K. (1994) An example-based approach to semantic information extraction from Japanese spontaneous speech. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 91-94

@inproceedings{shirotsuka94_icslp,
  author={Otoya Shirotsuka and Ken'Ya Murakami},
  title={{An example-based approach to semantic information extraction from Japanese spontaneous speech}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={91--94}
}