🔗 Who cites «Deep RNNs Encode Soft Hierarchical Syntax»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Deep RNNs Encode Soft Hierarchical Syntax»

BERT Rediscovers the Classical NLP PipelineAnnual Meeting of the Association for Computational Linguistics (ACL)Ian Tenney, Dipanjan Das, Ellie Pavlick2019 · 2,002 citations
A Structural Probe for Finding Syntax in Word RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)John Hewitt, Christopher D. Manning2019 · 1,232 citations
Linguistic Knowledge and Transferability of Contextual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,015 citations
Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 737 citations
1. What do you learn from context? Probing for sentence structure in contextualized word representationsarXiv:1905.06316Ian Tenney, Patrick Xia, Berlin Chen, et al.2019 · 588 citations
   Dissecting Contextual Word Embeddings: Architecture and RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.2018 · 587 citations
2. Analyzing the Structure of Attention in a Transformer Language ModelarXiv:1906.04284Jesse Vig, Yonatan Belinkov2019 · 432 citations
3. Visualizing and Measuring the Geometry of BERTarXiv:1906.02715Andy Coenen, Emily Reif, Ann Yuan, et al.2019 · 343 citations
   The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling ObjectivesConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Rico Sennrich, Ivan Titov2019 · 223 citations
   Understanding Learning Dynamics Of Language Models with SVCCAConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Naomi Saphra, Adam Lopez2019 · 104 citations
4. RNNs as psycholinguistic subjects: Syntactic state and grammatical dependencyarXiv:1809.01329Richard Futrell, Ethan Wilcox, Takashi Morita, et al.2018 · 75 citations

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

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