• Singh 2002 - The Public Acquisition of Commonsense Knowledge The Open Mind Common Sense project, which was the foundation of ConceptNet
• Angeli & Manning 2014 - NaturalLI: Natural Logic Inference for Common Sense Reasoning
• Speer et al 2016 - ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
• Zellers et al 2018 - SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
  • Zellers et al 2019 - HellaSwag: Can a Machine Really Finish Your Sentence?
• Sag et al 2018 - ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
• Feldman et al 2019 - Commonsense Knowledge Mining from Pretrained Models
• Bosselut et al 2019 - COMET: Commonsense Transformers for Automatic Knowledge Graph Construction Can be used as a language model-like interface to knowledge contained in ATOMIC or ConceptNet. The “mask” tokens are padding for batch training, see here. Demo
• Liu et al 2022 - Generated Knowledge Prompting for Commonsense Reasoning

• Talmor et al 2018 - CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
• Shwartz et al 2020 - Unsupervised Commonsense Question Answering with Self-Talk

• Papers
  • Bhagavatula et al 2019 - Abductive Commonsense Reasoning

• MT
  • He et al 2020 - The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation

• Wikipedia - Winograd Schema Challenge
• Kocijan et al 2020 - A Review of Winograd Schema Challenge Datasets and Approaches

• Boguslavsky et al 2019 - A Knowledge-Based Approach to Winograd Schema Challenge

A very helpful list of resources is here: https://cs.nyu.edu/~davise/Benchmarks/Text.html

• SWAG
• HellaSWAG
• Winograd Schema Challenge (original dataset)
• CommonsenseQA paper
• Abductive Reasoning Datasets
  • ART, $\alpha$NLI and $\alpha$NLG: 20k commonsense narrative contexts and 200k explanations (from ROCStories dataset) paper

• COMET Demo

• Vared Shwartz at ACl 2020: slides

• Question Answering