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How to train your self-supervised NLP model: Investigating pre-training objectives, data, and scale
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Prompting Contrastive Explanations for Commonsense Reasoning Tasks ...
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Detecting Hallucinated Content in Conditional Neural Sequence Generation ...
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FaVIQ: FAct Verification from Information-seeking Questions ...
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Quantifying Adaptability in Pre-trained Language Models with 500 Tasks ...
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Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ...
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Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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What About the Precedent: An Information-Theoretic Analysis of Common Law
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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Finding Concept-specific Biases in Form–Meaning Associations
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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A Non-Linear Structural Probe
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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How (Non-)Optimal is the Lexicon?
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ...
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Backtranslation feedback improves user confidence in MT, not quality
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Multilingual Denoising Pre-training for Neural Machine Translation ...
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