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CORD-19: The COVID-19 Open Research Dataset, , , , , , , , , and 18 other author(s). (2020)cite arxiv:2004.10706Comment: ACL NLP-COVID Workshop 2020.Understand users' comprehension and preferences for composing information visualizations., , and . ACM Trans. Comput. Hum. Interact., 21 (1): 6:1-6:30 (2014)Ontology mediated information extraction in financial domain with Mastro System-T., , , and . DSMM@SIGMOD, page 3:1-3:6. ACM, (2020)SEER: Auto-Generating Information Extraction Rules from User-Specified Examples., , , and . CHI, page 6672-6682. ACM, (2017)Understanding queries in a search database system., , , , and . PODS, page 273-284. ACM, (2010)TableLab: An Interactive Table Extraction System with Adaptive Deep Learning., , and . IUI Companion, page 87-89. ACM, (2021)Natural Language Data Management and Interfaces, and . Synthesis Lectures on Data Management Morgan & Claypool Publishers, (2018)Flexible query facilities for heterogeneous semi-structured data.. University of Michigan, USA, (2007)Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting., , , , and . RepL4NLP@ACL-IJCNLP, page 1-7. Association for Computational Linguistics, (2021)DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding., , , and . CoNLL, page 444-453. Association for Computational Linguistics, (2018)