Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources.

@inproceedings{wu-2022-improving, author = {Sixing Wu and Minghui Wang and Ying Li and Dawei Zhang and Zhonghai Wu}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {1149--1157}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498393}, doi = {https://doi.org/10.1145/3488560.3498393} }