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NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation.

, , , , and . NeurIPS Datasets and Benchmarks, (2021)

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Towards Zero-Shot Knowledge Distillation for Natural Language Processing., , , and . CoRR, (2020)Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition., , , and . CoRR, (2021)Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus., and . LREC, European Language Resources Association (ELRA), (2018)CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation., , , , , and . COLING, page 4707-4713. International Committee on Computational Linguistics, (2022)NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation., , , , and . NeurIPS Datasets and Benchmarks, (2021)Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing., , , , , , , , , and 4 other author(s). EMNLP, page 3135-3151. Association for Computational Linguistics, (2022)SEDAR: a Large Scale French-English Financial Domain Parallel Corpus., and . LREC, page 3595-3602. European Language Resources Association, (2020)Robust Lexical Features for Improved Neural Network Named-Entity Recognition., and . COLING, page 1896-1907. Association for Computational Linguistics, (2018)WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition., and . IJCNLP(1), page 413-422. Asian Federation of Natural Language Processing, (2017)Coreference in Wikipedia: Main Concept Resolution., and . CoNLL, page 229-238. ACL, (2016)