mlsanityData to 7 Oct 2026

Natural Language Understanding with the Quora Question Pairs Dataset

arXiv 1907.01041 ↗First posted 1 Jul 2019cs.CL cs.LGcited by 51

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Abstract (arXiv)

This paper explores the task Natural Language Understanding (NLU) by looking at duplicate question detection in the Quora dataset. We conducted extensive exploration of the dataset and used various machine learning models, including linear and tree-based models. Our final finding was that a simple Continuous Bag of Words neural network model had the best performance, outdoing more complicated recurrent and attention based models. We also conducted error analysis and found some subjectivity in the labeling of the dataset.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2019.

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Citing papers per year: 2021: 7; 2022: 6; 2023: 11; 2024: 6; 2025: 13; 2026: 8.

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