6 citations · 17 across the 20 of their papers we have counts for
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cs.AI2021
Modeling Global Semantics for Question Answering over Knowledge Bases
Peiyun Wu, Yunjie Wu, Linjuan Wu +2
Semantic parsing, as an important approach to question answering over knowledge bases (KBQA), transforms a question into the complete query graph for further generating the correct…
cs.AI2019★ 1 cited
Towards Universal Languages for Tractable Ontology Mediated Query Answering
Heng Zhang, Yan Zhang, Jia-Huai You +2
An ontology language for ontology mediated query answering (OMQA-language) is universal for a family of OMQA-languages if it is the most expressive one among this family. In this p…
cs.AI2018★ 2 cited
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Chengwei Zhang, Xiaohong Li, Jianye Hao +5
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with c…