--- title: "Who cites Effective Self-Training for Parsing" description: "252 papers of the Elamur Research library cite «Effective Self-Training for Parsing», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Effective Self-Training for Parsing](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/) / cited by # Who cites «Effective Self-Training for Parsing» 252 papers of our library cite it (of the 140,884 whose bibliographies we read) · 24 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/) 1. [**Attention Is All You Need**Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.*2017 · 16,413 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/) 2. [**Natural Language Processing (almost) from Scratch**Ronan Collobert, Jason Weston, Leon Bottou, et al.*2011 · 6,099 citations*](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/) 3. [**Toolformer: Language Models Can Teach Themselves to Use Tools**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.*2023 · 2,020 citations*](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) 4. [**Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference**Timo Schick, Hinrich Schütze*2021 · 1,796 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-exploiting-cloze-questions-few-shot/) 5. [**It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners**Timo Schick, Hinrich Schütze*2021 · 1,118 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-it-s-not-just-size/) 6. [**Simple Semi-supervised Dependency Parsing**Terry Koo, Xavier Carreras, Michael Collins*2008 · 655 citations*](https://md.research.elamur.ai/free/en/papers/koo-2008-simple-semi-supervised-dependency-parsing/) 7. [**Semi-Supervised Sequence Modeling with Cross-View Training**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 489 citations*](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) 8. [**Reranking and Self-Training for Parser Adaptation**David McClosky, Eugene Charniak, Mark Johnson*2006 · 352 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-reranking-self-training-parser-adaptation/) 9. [**Weakly Supervised Learning for Hedge Classification in Scientific Literature**Ben Medlock, Ted Briscoe*2007 · 266 citations*](https://md.research.elamur.ai/free/en/papers/medlock-2007-weakly-supervised-learning-hedge-classification/) 10. [**Fast and Accurate Shift-Reduce Constituent Parsing**Muhua Zhu, Yue Zhang, Wenliang Chen, et al.*2013 · 247 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2013-fast-accurate-shift-reduce-constituent/) 11. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/) 12. [**Towards Robust Semantic Role Labeling**Sameer S. Pradhan, Wayne Ward, James H. Martin*2008 · 160 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2008-robust-semantic-role-labeling/) 13. [**Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples**Vidur Joshi, Matthew Peters, Mark Hopkins*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2018-extending-parser-distant-domains-few/) 14. [**Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output**Jonathan K. Kummerfeld, David Hall, James R. Curran, et al.*2012 · 127 citations*](https://md.research.elamur.ai/free/en/papers/kummerfeld-2012-parser-showdown-wall-street-corral/) 15. [**Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features**Yuval Marton, Nizar Habash, Owen Rambow*2013 · 109 citations*](https://md.research.elamur.ai/free/en/papers/marton-2013-dependency-parsing-modern-standard-arabic/) 16. [**Unbounded Dependency Recovery for Parser Evaluation**Laura Rimell, Stephen Clark, Mark Steedman*2009 · 86 citations*](https://md.research.elamur.ai/free/en/papers/rimell-2009-unbounded-dependency-recovery-parser-evaluation/) 17. [**SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser**Yue Zhang, Bo Zhang, Zhenghua Li, et al.*2022 · 76 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-syngec-syntax-enhanced-grammatical-error/) 18. [**Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment**Yonatan Belinkov, Tao Lei, Regina Barzilay, et al.*2014 · 45 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2014-exploring-compositional-architectures-word-vector/) 19. [**An Empirical Comparison of Parsing Methods for Stanford Dependencies**Lingpeng Kong, Noah A. Smith*2014 · 39 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-empirical-comparison-parsing-methods-stanford/) 20. [**Statistical Parsing by Machine Learning from a Classical Arabic Treebank**Kais Dukes*2015 · 27 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2015-statistical-parsing-machine-learning-classical/) 21. [**Adapting WSJ-Trained Parsers to the British National Corpus Using In-Domain Self-Training**Jennifer Foster, Joachim Wagner, Djamé Seddah, et al.*2007 · 25 citations*](https://md.research.elamur.ai/free/en/papers/foster-2007-adapting-wsj-trained-parsers-british/) 22. [**Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics**Jennifer Foster, Josef van Genabith*2008 · 18 citations*](https://md.research.elamur.ai/free/en/papers/foster-2008-parser-evaluation-bnc-evaluating-4/) 23. [**The Same-Head Heuristic for Coreference**Micha Elsner, Eugene Charniak*2010 · 14 citations*](https://md.research.elamur.ai/free/en/papers/elsner-2010-same-head-heuristic-coreference/) 24. [**Parsing Any Domain English text to CoNLL dependencies**Sudheer Kolachina, Prasanth Kolachina*2012 · 6 citations*](https://md.research.elamur.ai/free/en/papers/kolachina-2012-parsing-any-domain-english-text/) 228 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/) — Effective Self-Training for Parsing