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A Fast Unified Model for Parsing and Sentence Understanding.

, , , , , and . ACL (1), The Association for Computer Linguistics, (2016)

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Pretraining Language Models with Human Preferences., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17506-17533. PMLR, (2023)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). ACL (1), page 16334-16368. Association for Computational Linguistics, (2023)Instruction Induction: From Few Examples to Natural Language Task Descriptions., , , and . ACL (1), page 1935-1952. Association for Computational Linguistics, (2023)Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling., , , , , , , , , and 6 other author(s). ACL (1), page 4465-4476. Association for Computational Linguistics, (2019)Probing What Different NLP Tasks Teach Machines about Function Word Comprehension., , , , , , , , , and 2 other author(s). *SEM@NAACL-HLT, page 235-249. Association for Computational Linguistics, (2019)CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models., , , and . EMNLP (1), page 1953-1967. Association for Computational Linguistics, (2020)Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis., and . BlackboxNLP@EMNLP, page 359-361. Association for Computational Linguistics, (2018)Does Putting a Linguist in the Loop Improve NLU Data Collection?, , , , , , , , , and . EMNLP (Findings), page 4886-4901. Association for Computational Linguistics, (2021)Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks., , and . CoRR, (2018)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). CoRR, (2022)