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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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COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ...
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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection ...
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PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World ...
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Contrastive Explanations for Model Interpretability ...
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PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World ...
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Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ...
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8
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules ...
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9
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation ...
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GO FIGURE: A Meta Evaluation of Factuality in Summarization ...
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CLIPScore: A Reference-free Evaluation Metric for Image Captioning ...
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Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ...
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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ...
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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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16
From Physical to Social Commonsense: Natural Language and the Natural World
Forbes, Maxwell. - 2021
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Positive AI with Social Commonsense Models
Sap, Maarten. - 2021
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Generative Data Augmentation for Commonsense Reasoning ...
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NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints ...
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Understanding Natural Language with Commonsense Knowledge Representation, Reasoning, and Simulation
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