HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling.
Shen Gao|Yuchi Zhang|Yongliang Wang|Yang Dong|Xiuying Chen|Dongyan Zhao|Rui Yan
| Anthology ID: | DBLP:conf/wsdm/GaoZWDC0022 |
|---|---|
| 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: | 307-315 |
| URL: | https://doi.org/10.1145/3488560.3498378 |
| DOI: | https://doi.org/10.1145/3488560.3498378 |
| DBLP: | conf/wsdm/GaoZWDC0022 |
| BibTeX: |
@inproceedings{gao-2022-heteroqa,
author = {Shen Gao and
Yuchi Zhang and
Yongliang Wang and
Yang Dong and
Xiuying Chen and
Dongyan Zhao and
Rui Yan},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {307--315},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498378},
doi = {https://doi.org/10.1145/3488560.3498378}
}