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DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering.

, , , and . CoRR, (2024)

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Text classification with sparse composite document vectors., , and . CoRR, (2016)User bias removal in review score prediction., , , and . COMAD/CODS, page 175-179. ACM, (2018)Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data., , and . EMNLP (1), page 583-594. Association for Computational Linguistics, (2021)LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification., , and . EMNLP (Findings), page 4894-4908. Association for Computational Linguistics, (2022)Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss., , , and . CoRR, (2018)Contextualized Weak Supervision for Text Classification., and . ACL, page 323-333. Association for Computational Linguistics, (2020)ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models., , and . EMNLP, page 5792-5799. Association for Computational Linguistics, (2023)X-Class: Text Classification with Extremely Weak Supervision., , and . NAACL-HLT, page 3043-3053. Association for Computational Linguistics, (2021)Progressive Sentiment Analysis for Code-Switched Text Data., , and . EMNLP (Findings), page 1155-1167. Association for Computational Linguistics, (2022)BFClass: A Backdoor-free Text Classification Framework., , , and . EMNLP (Findings), page 444-453. Association for Computational Linguistics, (2021)