multi-hop reasoning

A2N: Attending to Neighbors for Knowledge Graph Inference ACL 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019 Answering Complex Open-domain Questions Through Iterative Query Generation EMNLP 2019 BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering NAACL 2019 Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference EMNLP 2019 Cognitive Graph for Multi-Hop Reading Comprehension at Scale ACL 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019 Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019 DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs EMNLP 2019 Dynamically Fused Graph Network for Multi-hop Reasoning ACL 2019 Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering NAACL 2019 Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019 Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019 Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks EMNLP 2019 Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019 KVQA: Knowledge-Aware Visual Question Answering AAAI 2019 Multi-Hop Paragraph Retrieval for Open-Domain Question Answering ACL 2019 Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs ACL 2019 Multi-hop Reading Comprehension through Question Decomposition and Rescoring ACL 2019 NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language ACL 2019 PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text EMNLP 2019 Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs NAACL 2019 Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning EMNLP 2019 Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions EMNLP 2019