Master of Science in Computer Science


Department of Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Date of Submission



Dr. Sajjad Haider, Professor, Department of Computer Science

Document type

MSCS Survey Report


Commonsense reasoning is an active area of research in Natural Language Processing (NLP). Tasks and datasets involved in this problem are designed to ensure that the corresponding models go beyond pattern recognition and incorporate commonsense knowledge. This research survey presents five commonsense tasks: Winograd Schema Challenge, Winograd NLI (WNLI), Situations with Adversarial Generations (SWAG), CommonsenseQA (CQA), and Event2Mind. The survey examines nine papers, including models, experiments, results, and datasets. The survey also compares the models in terms of performance on the relevant tasks and recommends future direction. This work aims to provide readers a profound understanding of commonsense tasks in NLP and the relevant models which solve them.

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