Takeshi Homma, Adriano S. Arantes, Maria Teresa Gonzalez Diaz, Masahito Togami. Maximizing SLU Performance with Minimal Training Data Using Hybrid RNN Plus Rule-based Approach. In Kazunori Komatani, Diane J. Litman, Kai Yu, Lawrence Cavedon, Mikio Nakano, Alex Papangelis, editors, Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, Melbourne, Australia, July 12-14, 2018. pages 366-370, Association for Computational Linguistics, 2018. [doi]
@inproceedings{HommaADT18,
title = {Maximizing SLU Performance with Minimal Training Data Using Hybrid RNN Plus Rule-based Approach},
author = {Takeshi Homma and Adriano S. Arantes and Maria Teresa Gonzalez Diaz and Masahito Togami},
year = {2018},
url = {https://aclanthology.info/papers/W18-5043/w18-5043},
researchr = {https://researchr.org/publication/HommaADT18},
cites = {0},
citedby = {0},
pages = {366-370},
booktitle = {Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, Melbourne, Australia, July 12-14, 2018},
editor = {Kazunori Komatani and Diane J. Litman and Kai Yu and Lawrence Cavedon and Mikio Nakano and Alex Papangelis},
publisher = {Association for Computational Linguistics},
isbn = {978-1-948087-67-4},
}