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Conversational question answering (ConvQA) tackles sequential information needs where contexts in follow-up questions are left implicit.
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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. In EMNLP-IJCNLP
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Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs. In SIGIR
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Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering. In ACL
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Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs. In EMNLP
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UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
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Conversational Question Answering over Passages by Leveraging Word Proximity Networks. In SIGIR
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Reinforced History Backtracking for Conversational Question Answering. In AAAI , Vol. 35
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Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases. In WSDM
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Open Domain Question Answering with A Unified Knowledge Interface. In ACL
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