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Mapping Unseen Words to Task-Trained Embedding Spaces.

, , , and . Rep4NLP@ACL, page 100-110. Association for Computational Linguistics, (2016)

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Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations., and . CoRR, (2017)How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions., , , , , , and . CoRR, (2019)Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets., , and . CoRR, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Smaller Text Classifiers with Discriminative Cluster Embeddings., and . CoRR, (2019)MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy., , and . CoRR, (2023)Concavity and Initialization for Unsupervised Dependency Parsing., and . HLT-NAACL, page 577-581. The Association for Computational Linguistics, (2012)Movie Reviews and Revenues: An Experiment in Text Regression., , , and . HLT-NAACL, page 293-296. The Association for Computational Linguistics, (2010)NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources., , and . AKBC, (2021)Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings., and . ACL (1), page 2078-2088. Association for Computational Linguistics, (2017)