🔗 Who cites «Efficient, Feature-based, Conditional Random Field Parsing»

86 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 «Efficient, Feature-based, Conditional Random Field Parsing»

1. Universal Stanford dependencies: A cross-linguistic typologyMarie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, et al.2014 · 627 citations
   Tailoring Continuous Word Representations for Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Bansal, Kevin Gimpel, Karen Livescu2014 · 419 citations
   Nested Named Entity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Jenny Rose Finkel, Christopher D. Manning2009 · 403 citations
   Joint Parsing and Named Entity RecognitionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jenny Rose Finkel, Christopher D. Manning2009 · 264 citations
   CODRA: A Novel Discriminative Framework for Rhetorical AnalysisComputational LinguisticsShafiq Joty, Giuseppe Carenini, Raymond T. Ng2015 · 263 citations
   Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich LanguagesWorkshop on Statistical Parsing of Morphologically-Rich LanguagesDjamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.2013 · 244 citations
   Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and WhitherNAACL HLT Workshop on Statistical Parsing of Morphologically-Rich LanguagesReut Tsarfaty, Djamé Seddah, Yoav Goldberg, et al.2010 · 158 citations
   Practical Very Large Scale CRFsAnnual Meeting of the Association for Computational Linguistics (ACL)Thomas Lavergne, Olivier Cappé, François Yvon2010 · 152 citations
   Transition-Based Parsing of the Chinese Treebank using a Global Discriminative ModelInternational Conference on Parsing Technologies and the IWPT Shared Task on Parsing into Enhanced Universal DependenciesYue Zhang, Stephen Clark2009 · 151 citations
2. Efficient Second-Order TreeCRF for Neural Dependency ParsingYu Zhang, Zhenghua Li, Min Zhang2020 · 146 citations
   Turbo Parsers: Dependency Parsing by Approximate Variational InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)André Martins, Noah Smith, Eric Xing, et al.2010 · 69 citations
3. Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF ApproachShafiq Joty, Tasnim Mohiuddin2018 · 20 citations

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

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