Papers Logical Reasoning Reading Comprehension
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LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language Understanding
NLP research on logical reasoning regains momentum with the recent releases of a handful of datasets, notably LogiQA and Reclor. Logical reasoning is exploited in many probing tasks over large Pre-trained Language Models…
Logical ReasoningLogical Reasoning Reading ComprehensionNatural Language InferenceNatural Language Understanding+2Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner. Nevertheless, the intricate nature of logical reasoning poses challenges when gathering …
Abstract Meaning RepresentationContrastive LearningData AugmentationLanguage Modelling+11DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
In this paper, we present and implement a multi-dimensional, modular framework for performing deep argument analysis (DeepA2) using current pre-trained language models (PTLMs). ArgumentAnalyst -- a T5 model (Raffel et al…
Argument MiningLogical Reasoning Reading ComprehensionSemantic ParsingvalidReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Recent powerful pre-trained language models have achieved remarkable performance on most of the popular datasets for reading comprehension. It is time to introduce more challenging datasets to push the development of thi…
Logical ReasoningLogical Reasoning Question AnsweringLogical Reasoning Reading ComprehensionMachine Reading Comprehension+2