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

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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]

This author has not been identified. Look up 'Xu Wang' in GoogleThis author has not been identified. Look up 'Shuai Zhao 0001' in GoogleThis author has not been identified. Look up 'Bo Cheng 0001' in GoogleThis author has not been identified. Look up 'Jiale Han' in GoogleThis author has not been identified. Look up 'Yingting Li' in GoogleThis author has not been identified. Look up 'Hao Yang' in GoogleThis author has not been identified. Look up 'Guoshun Nan' in Google

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