--- title: "Who cites Estimators for Stochastic — 78 citing papers" description: "78 papers of the Elamur Research library cite «Estimators for Stochastic “Unification-Based” Grammars», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Estimators for Stochastic “Unification-Based”…](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/) / cited by # Who cites «Estimators for Stochastic “Unification-Based” Grammars» 78 papers of our library cite it (of the 141,840 whose bibliographies we read) · 17 with a page here, the most cited first · [← back to «Estimators for Stochastic “Unification-Based” Grammars»](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/) 1. **[Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network](https://md.research.elamur.ai/free/en/papers/toutanova-2003-feature-rich-part-speech-tagging/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kristina Toutanova, Dan Klein, Christopher D. Manning, et al.*2003 · 3,566 citations* 2. [**Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars arXiv:1207.1420**Luke S. Zettlemoyer, Michael Collins*2012 · 1,074 citations*](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2012-learning-map-sentences-logical-form/) 3. [**Discriminative Reranking for Natural Language Parsing**Michael Collins, Terry Koo*2000 · 990 citations*](https://md.research.elamur.ai/free/en/papers/collins-2000-discriminative-reranking-natural-language-parsing/) 4. [**Effective Self-Training for Parsing**David McClosky, Eugene Charniak, Mark Johnson*2006 · 847 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/) 5. **[A Comparison of Algorithms for Maximum Entropy Parameter Estimation](https://md.research.elamur.ai/free/en/papers/malouf-2002-comparison-algorithms-maximum-entropy-parameter/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Robert Malouf*2002 · 753 citations* 6. [**Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models**Stephen Clark, James R. Curran*2007 · 626 citations*](https://md.research.elamur.ai/free/en/papers/clark-2007-wide-coverage-efficient-statistical-parsing/) 7. [**Incremental Parsing with the Perceptron Algorithm**Michael Collins, Brian Roark*2004 · 568 citations*](https://md.research.elamur.ai/free/en/papers/collins-2004-incremental-parsing-perceptron-algorithm/) 8. **[Contrastive Estimation: Training Log-Linear Models on Unlabeled Data](https://md.research.elamur.ai/free/en/papers/smith-2005-contrastive-estimation-training-log-linear/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Noah A. Smith, Jason Eisner*2005 · 446 citations* 9. **[Probabilistic Top-Down Parsing and Language Modeling](https://md.research.elamur.ai/free/en/papers/roark-2001-probabilistic-top-down-parsing-language/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Brian Roark*2001 · 424 citations* 10. **[Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques](https://md.research.elamur.ai/free/en/papers/riezler-2002-parsing-wall-street-journal-lexical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stefan Riezler, Tracy H. King, Ronald M. Kaplan, et al.*2002 · 396 citations* 11. [**Feature Forest Models for Probabilistic HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2008 · 279 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2008-feature-forest-models-probabilistic-hpsg/) 12. **[Learning Context-Dependent Mappings from Sentences to Logical Form](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luke Zettlemoyer, Michael Collins*2009 · 246 citations* 13. [**The LinGO Redwoods Treebank: Motivation and Preliminary Applications**Stephan Oepen, Kristina Toutanova, Stuart Shieber, et al.*2002 · 213 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2002-lingo-redwoods-treebank-motivation-preliminary/) 14. [**Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing**Yusuke Miyao, Jun'ichi Tsujii*2005 · 153 citations*](https://md.research.elamur.ai/free/en/papers/miyao-2005-probabilistic-disambiguation-models-wide-coverage/) 15. **[The ERG at MRP 2019: Radically Compositional Semantic Dependencies](https://md.research.elamur.ai/free/en/papers/oepen-2019-erg-mrp-2019-radically-compositional/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Stephan Oepen, Dan Flickinger*2019 · 18 citations* 16. [**Improving a Strong Neural Parser with Conjunction-Specific Features**Jessica Ficler, Yoav Goldberg*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-improving-strong-neural-parser-conjunction/) 17. [**Grammatical theory: From transformational grammar to constraint-based approaches**Stefan Müller*2023*](https://md.research.elamur.ai/free/en/papers/muller-2023-grammatical-theory-from-transformational/) 61 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/) — Estimators for Stochastic “Unification-Based” Grammars