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Logical Reasoning Reading Comprehension

Logical reasoning reading comprehension is a task proposed by the paper ReClor (ICLR 2020), which is to evaluate the logical reasoning ability of machine reading comprehension models. ReClor is the first dataset for logical reasoning reading comprehension.

Papers

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Showing 1–4 of 4 papers

TitleStatusHype
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language UnderstandingCode0
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical ReasoningCode1
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language ModelsCode1
ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningCode1
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