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} }