---
title: "Who cites Turning on the Turbo: Fast Third-Order…"
description: "97 papers of the Elamur Research library cite «Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/martins-2013-turning-turbo-fast-third-order/cited-by/"
---
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# Who cites «Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers»

97 papers of our library cite it (of the 140,884 whose bibliographies we read) · 14 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/martins-2013-turning-turbo-fast-third-order/)

1. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
2. [**Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations**Eliyahu Kiperwasser, Yoav Goldberg*2016 · 903 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)
3. [**Globally Normalized Transition-Based Neural Networks**Daniel Andor, Chris Alberti, David Weiss, et al.*2016 · 676 citations*](https://md.research.elamur.ai/free/en/papers/andor-2016-globally-normalized-transition-based-neural/)
4. [**A Discriminative Graph-Based Parser for the Abstract Meaning Representation**Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, et al.*2014 · 508 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2014-discriminative-graph-based-parser-abstract/)
5. [**A Dependency Parser for Tweets**Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.*2014 · 298 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)
6. [**It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool**Jinho D. Choi, Joel Tetreault, Amanda Stent*2015 · 169 citations*](https://md.research.elamur.ai/free/en/papers/choi-2015-it-depends-dependency-parser-comparison/)
7. [**Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 115 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/)
8. [**A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis**Wolfgang Seeker, Özlem Çetinoğlu*2015 · 66 citations*](https://md.research.elamur.ai/free/en/papers/seeker-2015-graph-based-lattice-dependency-parser/)
9. [**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/)
10. [**'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks'**Anders Björkelund, Agnieszka Falenska, Xiang Yu, et al.*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2017-ims-conll-2017-ud-shared/)
11. [**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/)
12. [**Transferring Coreference Resolvers with Posterior Regularization**André F. T. Martins*2015 · 35 citations*](https://md.research.elamur.ai/free/en/papers/martins-2015-transferring-coreference-resolvers-posterior-regularization/)
13. [**An Evaluation of Parser Robustness for Ungrammatical Sentences**Homa B. Hashemi, Rebecca Hwa*2016 · 18 citations*](https://md.research.elamur.ai/free/en/papers/hashemi-2016-evaluation-parser-robustness-ungrammatical-sentences/)
14. [**Prepositional Phrase Attachment over Word Embedding Products**Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madhyastha-2017-prepositional-phrase-attachment-over-word/)

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

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