text:   Knowledge Bases",3,"['GrailQA: A new large-scale, high-quality dataset for QA on knowledge bases\n\n- 64K questions over 3.7K relations across 86 domains\n- Support evaluation of i.i.d., compositional, and zero-shot generalization\n\npaper: <LINK>\nleaderboard: <LINK>', 'My student @yugu_nlp will discuss the work at the Interactive and Executable Semantic Parsing Workshop@EMNLP (@intexsempar2020) at 23:00 (UTC) / 18:00 (EST).\n\nJoint work with Sue Kase, Michelle Vanni, Brian Sadler, @percyliang, Xifeng Yan', 'We also propose new BERT-based KBQA models and demonstrate, for the first time, the critical role of joint contextualized representation of utterances and KB schema for non-i.i.d. generalization of KBQA models! More details in the paper.']",20,11,714