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}
}