🔗 Who cites «How Pre-trained Word Representations Capture Commonsense Physical Comparisons»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «How Pre-trained Word Representations Capture Commonsense Physical Comparisons»

1. Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.2020 · 218 citations
2. Representing Numbers in NLP: a Survey and a VisionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Avijit Thawani, Jay Pujara, Filip Ilievski, et al.2021 · 139 citations
3. PROST: Physical Reasoning about Objects through Space and TimeFindings of the Association for Computational LinguisticsStéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone, et al.2021 · 40 citations

2 more papers of our library cite it; they have no page here yet.

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