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Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods.

, , , , and . COLING, page 5035-5046. International Committee on Computational Linguistics, (2020)

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Augraphy: A Data Augmentation Library for Document Images., , , , and . CoRR, (2022)On Evaluation of Document Classifiers using RVL-CDIP., , and . EACL, page 2657-2670. Association for Computational Linguistics, (2023)Augraphy: A Data Augmentation Library for Document Images., , , , and . ICDAR (3), volume 14189 of Lecture Notes in Computer Science, page 384-401. Springer, (2023)Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP., , , , and . ICDAR Workshops (2), volume 12917 of Lecture Notes in Computer Science, page 416-423. Springer, (2021)LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction., and . EACL, page 2595-2600. Association for Computational Linguistics, (2021)An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction., , , , , , , , , and 1 other author(s). EMNLP/IJCNLP (1), page 1311-1316. Association for Computational Linguistics, (2019)Evaluating Out-of-Distribution Performance on Document Image Classifiers., , , , and . NeurIPS, (2022)Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods., , , , and . COLING, page 5035-5046. International Committee on Computational Linguistics, (2020)Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data., , and . LREC, page 7060-7068. European Language Resources Association, (2020)Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification., , and . LREC/COLING, page 7634-7646. ELRA and ICCL, (2024)