LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing.

Liqiang Song|Mengqiu Yao|Ye Bi|Zhenyu Wu|Jianming Wang|Jing Xiao|Juan Wen|Xin Yu


Anthology ID:DBLP:conf/sigir/SongYBWWXWY21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1960-1964
URL:https://doi.org/10.1145/3404835.3463058
DOI:https://doi.org/10.1145/3404835.3463058
DBLP:conf/sigir/SongYBWWXWY21
BibTeX:
@inproceedings{song-2021-lsdst, author = {Liqiang Song and Mengqiu Yao and Ye Bi and Zhenyu Wu and Jianming Wang and Jing Xiao and Juan Wen and Xin Yu}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {1960--1964}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3463058}, doi = {https://doi.org/10.1145/3404835.3463058} }