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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

, , , , , and . (2018)cite arxiv:1804.07461Comment: https://gluebenchmark.com/.

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What Do You Get When You Cross Beam Search with Nucleus Sampling?, and . Insights@ACL, page 38-45. Association for Computational Linguistics, (2022)pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference., , , , and . CoRR, (2018)Linguistic Regularities in Sparse and Explicit Word Representations., , and . CoNLL, page 171--180. (2014)code2seq: Generating Sequences from Structured Representations of Code., , , and . ICLR (Poster), OpenReview.net, (2019)Can Latent Alignments Improve Autoregressive Machine Translation?, , and . NAACL-HLT, page 2637-2641. Association for Computational Linguistics, (2021)A Simple Word Embedding Model for Lexical Substitution., , and . VS@HLT-NAACL, page 1-7. The Association for Computational Linguistics, (2015)Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens., and . NAACL-HLT, page 5061-5068. Association for Computational Linguistics, (2022)Teaching Machines to Learn by Metaphors., and . AAAI, page 991-997. AAAI Press, (2012)What Does BERT Look at? An Analysis of BERT's Attention., , , and . BlackboxNLP@ACL, page 276-286. Association for Computational Linguistics, (2019)Named Entity Disambiguation for Noisy Text., , , , , and . CoNLL, page 58-68. Association for Computational Linguistics, (2017)