In this paper, we report our semantic tagging tool for spoken dialogue corpus. This tagging tool can acquire analysis rules using Transformation-based Learning (TBL) from small scale training corpus. It can learn dialogue act tagging rules and semantic frame tagging rules. The precisions are 72% in dialogue act tagging and 58% of semantic frame tagging in open test.
Cite as: Araki, M., Ueda, K., Nishimoto, T., Niimi, Y. (2000) A semantic tagging tool for spoken dialogue corpus. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 4, 720-723, doi: 10.21437/ICSLP.2000-913
@inproceedings{araki00_icslp,
author={Masahiro Araki and Kiyoshi Ueda and Takuya Nishimoto and Yasuhisa Niimi},
title={{A semantic tagging tool for spoken dialogue corpus}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 4, 720-723},
doi={10.21437/ICSLP.2000-913}
}