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Figurative language understanding has been recently framed as a recognizing textual entailment (RTE) task (a.k.a.
Language models are few-shot learners
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Why do people use figurative language?
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Figurative language in emotional communication
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Wt5?! training text-to-text models to explain their predictions
Sharan Narang, Colin Raffel, Katherine Lee, Adam Roberts, Noah Fiedel, and Karishma Malkan. 2020 · 2004
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The second pascal recognising textual entailment challenge
Roy Bar-Haim, Ido Dagan, Bill Dolan, Lisa Ferro, Danilo Giampiccolo, and Bernardo Magnini. 2006 · 2006
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The pascal recognising textual entailment challenge
Ido Dagan, Oren Glickman, and Bernardo Magnini. 2006 · 2006
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Metaphor in textual entailment
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Modeling annotators: A generative approach to learning from annotator rationales
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Computing krippendorff’s alpha-reliability
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Computational approaches to figurative language
Ekaterina V Shutova. 2011 · 2011
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Breaking NLI systems with sentences that require simple lexical inferences
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Collecting diverse natural language inference problems for sentence representation evaluation
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Cross-task generalization via natural language crowdsourcing instructions
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Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, and Alexander M. Rush. 2021 · 2021
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Finetuned language models are zero-shot learners
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Measuring association between labels and free-text rationales
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Figurative language in recognizing textual entailment
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