Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.
Jia Li|Chongyang Tao|Huang Hu|Can Xu|Yining Chen|Daxin Jiang
| Anthology ID: | DBLP:conf/wsdm/LiTHXCJ22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 562-570 |
| URL: | https://doi.org/10.1145/3488560.3498404 |
| DOI: | https://doi.org/10.1145/3488560.3498404 |
| DBLP: | conf/wsdm/LiTHXCJ22 |
| BibTeX: |
@inproceedings{li-2022-unsupervised,
author = {Jia Li and
Chongyang Tao and
Huang Hu and
Can Xu and
Yining Chen and
Daxin Jiang},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {562--570},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498404},
doi = {https://doi.org/10.1145/3488560.3498404}
}