Hyungtak Choi, Hyeonmok Ko, Gurpreet Kaur, Lohith Ravuru, Kiranmayi Gandikota, Manisha Jhawar, Simma Dharani, Pranamya Patil. KILDST: Effective Knowledge-Integrated Learning for Dialogue State Tracking using Gazetteer and Speaker Information. In Md. Shad Akhtar, Tanmoy Chakraborty 0002, editors, Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. pages 60-66, Association for Computational Linguistics, 2022. [doi]
@inproceedings{ChoiKKRGJDP22,
title = {KILDST: Effective Knowledge-Integrated Learning for Dialogue State Tracking using Gazetteer and Speaker Information},
author = {Hyungtak Choi and Hyeonmok Ko and Gurpreet Kaur and Lohith Ravuru and Kiranmayi Gandikota and Manisha Jhawar and Simma Dharani and Pranamya Patil},
year = {2022},
url = {https://aclanthology.org/2022.icon-main.8},
researchr = {https://researchr.org/publication/ChoiKKRGJDP22},
cites = {0},
citedby = {0},
pages = {60-66},
booktitle = {Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022},
editor = {Md. Shad Akhtar and Tanmoy Chakraborty 0002},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-38-8},
}