Existing benchmarks for temporal QA focus on a single information source (either a KB or a text corpus), and include only few questions with implicit constraints. we devise a new method for automatically creating temporal questions with implicit constraints, with systematic controllability of different aspects, including the relative importance of different source types (text, infoboxes, KB), fractions of prominent vs. long-tail entities, question complexity, and more.
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