Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification

Oren Melamud, Mihaela A. Bornea, Ken Barker. Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification. In Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan 0001, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pages 3882-3891, Association for Computational Linguistics, 2019. [doi]

Abstract

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