🔗 Who cites «Do Neural Language Representations Learn Physical Commonsense?»

55 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Do Neural Language Representations Learn Physical Commonsense?»

1. Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge BasesAnnual Meeting of the Association for Computational Linguistics (ACL)Boxi Cao, Hongyu Lin, Xianpei Han, et al.2021 · 141 citations
2. Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in ColorConference on Computational Natural Language Learning (CoNLL)Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.2021 · 122 citations
3. Inducing Relational Knowledge from BERTProceedings of the AAAI Conference on Artificial IntelligenceZied Bouraoui, Jose Camacho-Collados, Steven Schockaert2019 · 105 citations
4. On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERTJoint Conference on Lexical and Computational Semantics (*SEM)Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.2020 · 55 citations
5. Probing Contextual Language Models for Common Ground with Visual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.2021 · 33 citations
6. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
7. Context Matters: A Pragmatic Study of PLMs' Negation UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Reto Gubelmann, Siegfried Handschuh2022 · 28 citations

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

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