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TableLab: An Interactive Table Extraction System with Adaptive Deep Learning., , и . IUI Companion, стр. 87-89. ACM, (2021)SEER: Auto-Generating Information Extraction Rules from User-Specified Examples., , , и . CHI, стр. 6672-6682. ACM, (2017)Understanding queries in a search database system., , , , и . PODS, стр. 273-284. ACM, (2010)Ontology mediated information extraction in financial domain with Mastro System-T., , , и . DSMM@SIGMOD, стр. 3:1-3:6. ACM, (2020)CORD-19: The COVID-19 Open Research Dataset, , , , , , , , , и 18 other автор(ы). (2020)cite arxiv:2004.10706Comment: ACL NLP-COVID Workshop 2020.Flexible query facilities for heterogeneous semi-structured data.. University of Michigan, USA, (2007)Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting., , , , и . RepL4NLP@ACL-IJCNLP, стр. 1-7. Association for Computational Linguistics, (2021)DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding., , , и . CoNLL, стр. 444-453. Association for Computational Linguistics, (2018)Domain-Aware Dependency Parsing for Questions., , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4562-4568. Association for Computational Linguistics, (2021)Resultant Gradient Flow Method for Multiple Objective Programming Based on Efficient Computing., , , , , , , , , и 5 other автор(ы). PAAP, том 1163 из Communications in Computer and Information Science, стр. 492-506. Springer, (2019)