HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract)

Xu Wang, Shuai Zhao 0001, Bo Cheng 0001, Jiale Han, Yingting Li, Hao Yang, Guoshun Nan. HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract). In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 13953-13954, AAAI Press, 2020. [doi]

@inproceedings{WangZ0HLYN20,
  title = {HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract)},
  author = {Xu Wang and Shuai Zhao 0001 and Bo Cheng 0001 and Jiale Han and Yingting Li and Hao Yang and Guoshun Nan},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/7249},
  researchr = {https://researchr.org/publication/WangZ0HLYN20},
  cites = {0},
  citedby = {0},
  pages = {13953-13954},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}