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Question answering over temporal knowledge graphs (KGs) efficiently uses facts contained in a temporal KG, which records entity relations and when they occur in time, to answer natural language questions (e.g., "Who was the president of the US before Obama?").
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Bhuwan Dhingra, Jeremy R Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, and William W Cohen. 2021 · 2021
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Tequila: Temporal question answering over knowledge bases
Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, and Gerhard Weikum. 2018b
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Question answering over temporal knowledge graphs
Apoorv Saxena, Soumen Chakrabarti, and Partha Talukdar. 2021 · 2021
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Open temporal relation extraction for question answering
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Complex embeddings for simple link prediction
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