🔗 Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations»

288 papers of our library cite it (of the 140,884 whose bibliographies we read) · 43 with a page here, the most cited first · ← the paper

1. Deep Biaffine Attention for Neural Dependency ParsingTimothy Dozat, Christopher D. Manning2016 · 1,320 citations
2. Assessing the Ability of LSTMs to Learn Syntax-Sensitive DependenciesTal Linzen, Emmanuel Dupoux, Yoav Goldberg2016 · 1,239 citations
3. Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingDiego Marcheggiani, Ivan Titov2017 · 1,101 citations
4. Colorless Green Recurrent Networks Dream HierarchicallyKristina Gulordava, Piotr Bojanowski, Edouard Grave, et al.2018 · 759 citations
5. Analysis Methods in Neural Language Processing: A SurveyYonatan Belinkov, James Glass2019 · 735 citations
6. ScispaCy: Fast and Robust Models for Biomedical Natural Language ProcessingMark Neumann, Daniel King, Iz Beltagy, et al.2019 · 674 citations
7. Linguistically-Informed Self-Attention for Semantic Role LabelingEmma Strubell, Patrick Verga, Daniel Andor, et al.2018 · 598 citations
8. DyNet: The Dynamic Neural Network ToolkitGraham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 485 citations
9. A Minimal Span-Based Neural Constituency ParserMitchell Stern, Jacob Andreas, Dan Klein2017 · 309 citations
10. Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingTal Schuster, Ori Ram, Regina Barzilay, et al.2019 · 294 citations
11. Neural End-to-End Learning for Computational Argumentation MiningSteffen Eger, Johannes Daxenberger, Iryna Gurevych2017 · 263 citations
12. Multilingual is not enough: BERT for FinnishAntti Virtanen, Jenna Kanerva, Rami Ilo, et al.2019 · 256 citations
13. Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary LossBarbara Plank, Anders Søgaard, Yoav Goldberg2016 · 201 citations
14. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic OraclesJames Cross, Liang Huang2016 · 191 citations
15. Efficient Second-Order TreeCRF for Neural Dependency ParsingYu Zhang, Zhenghua Li, Min Zhang2020 · 145 citations
16. Scheduled Multi-Task Learning: From Syntax to TranslationEliyahu Kiperwasser, Miguel Ballesteros2018 · 130 citations
17. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection CorpusHendrik Schuff, Jeremy Barnes, Julian Mohme, et al.2017 · 129 citations
18. Parsing Tweets into Universal DependenciesYijia Liu, Yi Zhu, Wanxiang Che, et al.2018 · 121 citations
19. In-Order Transition-based Constituent ParsingJiangming Liu, Yue Zhang2017 · 98 citations
20. A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingDiego Marcheggiani, Anton Frolov, Ivan Titov2017 · 86 citations
21. Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial ExamplesXiaoqing Zheng, Jiehang Zeng, Yi Zhou, et al.2020 · 54 citations
22. Universal Dependencies Parsing for Colloquial Singaporean EnglishHongmin Wang, Yue Zhang, GuangYong Leonard Chan, et al.2017 · 49 citations
23. Learning Contextually Informed Representations for Linear-Time Discourse ParsingYang Liu, Mirella Lapata2017 · 44 citations
24. Arc-swift: A Novel Transition System for Dependency ParsingPeng Qi, Christopher D. Manning2017 · 39 citations
25. Graph-to-Graph Transformer for Transition-based Dependency ParsingAlireza Mohammadshahi, James Henderson2020 · 23 citations
26. Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryStefan Grünewald, Annemarie Friedrich, Jonas Kuhn2021 · 18 citations
27. Hexatagging: Projective Dependency Parsing as TaggingAfra Amini, Tianyu Liu, Ryan Cotterell2023 · 16 citations
28. A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021Mark Anderson, Carlos Gómez-Rodríguez2021 · 10 citations
29. Using Modern Languages to Parse Ancient Ones: a Test on Old EnglishLuca Brigada Villa, Martina Giarda2023 · 9 citations
30. Nucleus Composition in Transition-based Dependency ParsingJoakim Nivre, Ali Basirat, Luise Dürlich, et al.2022 · 9 citations
31. Improving a Strong Neural Parser with Conjunction-Specific FeaturesJessica Ficler, Yoav Goldberg2017 · 9 citations
32. MRL Parsing Without Tears: The Case of HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.2024 · 8 citations
33. Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized EraAgnieszka Falenska, Anders Björkelund, Jonas Kuhn2020 · 8 citations
34. A Truly Joint Neural Architecture for Segmentation and ParsingDanit Yshaayahu Levi, Reut Tsarfaty2024 · 7 citations
35. Fast and Accurate Non-Projective Dependency Tree LinearizationXiang Yu, Simon Tannert, Ngoc Thang Vu, et al.2020 · 7 citations
36. Cross-lingual Semantic Representation for NLP with UCCAOmri Abend, Dotan Dvir, Daniel Hershcovich, et al.2020 · 6 citations
37. Approximate Dynamic Oracle for Dependency Parsing with Reinforcement LearningXiang Yu, Ngoc Thang Vu, Jonas Kuhn2018 · 5 citations
38. The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared TaskJames Barry, Alireza Mohammadshahi, Joachim Wagner, et al.2021 · 4 citations
39. Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling ApproachesTianze Shi, Lillian Lee2020 · 3 citations
40. Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain AnalysisSagar Indurkhya, Beracah Yankama, Robert C. Berwick2021 · 2 citations
41. Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency ParserBinyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen2020 · 2 citations
42. Transition-based Bubble Parsing: Improvements on Coordination Structure PredictionTianze Shi, Lillian Lee2021
43. Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency ParsingMohab Elkaref, Bernd Bohnet2019

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

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