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WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation ...
Abstract: A recurring challenge of crowdsourcing NLP datasets at scale is that human writers often rely on repetitive patterns when crafting examples, leading to a lack of linguistic diversity. We introduce a novel approach for dataset creation based on worker and AI collaboration, which brings together the generative strength of language models and the evaluative strength of humans. Starting with an existing dataset, MultiNLI for natural language inference (NLI), our approach uses dataset cartography to automatically identify examples that demonstrate challenging reasoning patterns, and instructs GPT-3 to compose new examples with similar patterns. Machine generated examples are then automatically filtered, and finally revised and labeled by human crowdworkers. The resulting dataset, WANLI, consists of 108,079 NLI examples and presents unique empirical strengths over existing NLI datasets. Remarkably, training a model on WANLI instead of MultiNLI (which is $4$ times larger) improves performance on seven out-of-domain ... : February 2022 ARR submission version ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2201.05955
https://arxiv.org/abs/2201.05955
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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ...
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Probing Across Time: What Does RoBERTa Know and When? ...
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Specializing Multilingual Language Models: An Empirical Study ...
Chau, Ethan C.; Smith, Noah A.. - : arXiv, 2021
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Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
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Finetuning Pretrained Transformers into RNNs ...
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Green NLP panel ...
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Sentence Bottleneck Autoencoders from Transformer Language Models ...
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All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text ...
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Measuring Association Between Labels and Free-Text Rationales ...
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Promoting Graph Awareness in Linearized Graph-to-Text Generation ...
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Shortformer: Better Language Modeling using Shorter Inputs ...
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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ...
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Specializing Multilingual Language Models: An Empirical Study ...
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Challenges in Automated Debiasing for Toxic Language Detection ...
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NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021
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Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ...
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Competency Problems: On Finding and Removing Artifacts in Language Data ...
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Infusing Finetuning with Semantic Dependencies ...
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Extracting and Inferring Personal Attributes from Dialogue
Wang, Zhilin. - 2021
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