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Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing.

, , , , , and . CVPR Workshops, page 1563-1566. Computer Vision Foundation / IEEE, (2020)

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Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing., , , , , and . CVPR Workshops, page 1563-1566. Computer Vision Foundation / IEEE, (2020)Corpus-based Content Construction., , , and . COLING, page 3505-3515. Association for Computational Linguistics, (2018)A Pipeline for Disaster Response and Relief Coordination., , , , , , , , , and 1 other author(s). SIGIR, page 1337-1340. ACM, (2019)Enhanced Personalized Targeting Using Augmented Reality., , , , , and . ISMAR Adjunct, page 69-74. IEEE Computer Society, (2017)StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets., , and . CoRR, (2021)Open Intent Extraction from Natural Language Interactions., , , and . WWW, page 2009-2020. ACM / IW3C2, (2020)BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge., , and . WWW, page 1897-1908. ACM, (2019)LEAF-QA: Locate, Encode & Attend for Figure Question Answering., , , , , and . WACV, page 3501-3510. IEEE, (2020)Anti-Ad Blocking Strategy: Measuring its True Impact., , , , , and . ADKDD@KDD, page 3:1-3:6. ACM, (2017)Forecasting Granular Audience Size for Online Advertising., , , , , , and . CoRR, (2019)