--- title: "Who cites Deep RNNs Encode Soft Hierarchical Syntax" description: "62 papers of the Elamur Research library cite «Deep RNNs Encode Soft Hierarchical Syntax», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep RNNs Encode Soft Hierarchical Syntax](https://md.research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/) 1. **[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 2,002 citations* 2. **[A Structural Probe for Finding Syntax in Word Representations](https://md.research.elamur.ai/free/en/papers/hewitt-2019-structural-probe-finding-syntax-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**John Hewitt, Christopher D. Manning*2019 · 1,232 citations* 3. **[Linguistic Knowledge and Transferability of Contextual Representations](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,015 citations* 4. **[Explainability for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations* 5. **[Analysis Methods in Neural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yonatan Belinkov, James Glass*2019 · 737 citations* 6. [**What do you learn from context? Probing for sentence structure in contextualized word representations arXiv:1905.06316**Ian Tenney, Patrick Xia, Berlin Chen, et al.*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) 7. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 587 citations* 8. [**Analyzing the Structure of Attention in a Transformer Language Model arXiv:1906.04284**Jesse Vig, Yonatan Belinkov*2019 · 432 citations*](https://md.research.elamur.ai/free/en/papers/vig-2019-analyzing-structure-attention-transformer-language/) 9. [**Visualizing and Measuring the Geometry of BERT arXiv:1906.02715**Andy Coenen, Emily Reif, Ann Yuan, et al.*2019 · 343 citations*](https://md.research.elamur.ai/free/en/papers/coenen-2019-visualizing-measuring-geometry-bert/) 10. **[The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 223 citations* 11. **[Understanding Learning Dynamics Of Language Models with SVCCA](https://md.research.elamur.ai/free/en/papers/saphra-2019-understanding-learning-dynamics-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Naomi Saphra, Adam Lopez*2019 · 104 citations* 12. [**RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency arXiv:1809.01329**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2018 · 75 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2018-rnns-psycholinguistic-subjects-syntactic-state/) 50 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/) — Deep RNNs Encode Soft Hierarchical Syntax