Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals.
Gaole He|Yunshi Lan|Jing Jiang|Wayne Xin Zhao|Ji-Rong Wen
| Anthology ID: | DBLP:conf/wsdm/HeL0ZW21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 553-561 |
| URL: | https://doi.org/10.1145/3437963.3441753 |
| DOI: | https://doi.org/10.1145/3437963.3441753 |
| DBLP: | conf/wsdm/HeL0ZW21 |
| BibTeX: |
@inproceedings{he-2021-improving,
author = {Gaole He and
Yunshi Lan and
Jing Jiang and
Wayne Xin Zhao and
Ji-Rong Wen},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {553--561},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441753},
doi = {https://doi.org/10.1145/3437963.3441753}
}