A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

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Tempquestions: A benchmark for temporal question answering

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LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia , pages 69–78

Benchmarking question answering systems

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Question answering over knowledge bases by leveraging semantic parsing and neuro-symbolic reasoning

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Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav, and Mo Yu. 2020 · 2020

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Complex temporal question answering on knowledge graphs

Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, and Gerhard Weikum. 2021 · 2021

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Sygma: System for generalizable modular question answering overknowledge bases

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Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh Srivastava, Cezar Pendus, et al. 2021 · 2021

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