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Hao Zhou, Yue Zhang, Shujian Huang and Jiajun Chen. 2015. A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 1213--1222, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
Greg Durrett and Dan Klein. 2015. Neural CRF Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 302--312, Beijing, China, July. Association for Computational Linguistics. [dparse] url google scholar
Taro Watanabe and Eiichiro Sumita. 2015. Transition-based Neural Constituent Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 1169--1179, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
David Weiss, Chris Alberti, Michael Collins and Slav Petrov. 2015. Structured Training for Neural Network Transition-Based Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 323--333, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
Chris Dyer. 2015. Notes on Noise Contrastive Estimation and Negative Sampling. [dparse] pdf google scholar
Danqi Chen and Christopher Manning. 2014. A Fast and Accurate Dependency Parser using Neural Networks. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 740--750, Doha, Qatar, October. Association for Computational Linguistics. [dparse] url google scholar
Wenliang Chen, Yue Zhang and Min Zhang. 2014. Feature Embedding for Dependency Parsing. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp 816--826, Dublin, Ireland, August. Dublin City University and Association for Computational Linguistics. [dparse, dparse.graph] url google scholar
Mohit Bansal, Kevin Gimpel and Karen Livescu. 2014. Tailoring Continuous Word Representations for Dependency Parsing. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp 809--815, Baltimore, Maryland, June. Association for Computational Linguistics. [dparse, dparse.graph] url google scholar
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola. 2014. Low-Rank Tensors for Scoring Dependency Structures. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp 1381--1391, Baltimore, Maryland, June. Association for Computational Linguistics. [dparse] url google scholar
Matthew Honnibal. 2014. Parsing English with 500 lines of Python. (blog post). [dparse] url url pdf google scholar
Andre Martins, Miguel Almeida and Noah A. Smith. 2013. Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp 617--622, Sofia, Bulgaria, August. Association for Computational Linguistics. [dparse] url google scholar
Yoav Goldberg and Joakim Nivre. 2013. Training Deterministic Parsers with Non-Deterministic Oracles.. TACL, vol 1, pp 403--414. [dparse] pdf google scholar
Yue Zhang and Joakim Nivre. 2012. Analyzing the Effect of Global Learning and Beam-Search on Transition-Based Dependency Parsing. In Proceedings of COLING 2012: Posters, pp 1391--1400, Mumbai, India, December. The COLING 2012 Organizing Committee. [dparse] url google scholar
Yoav Goldberg and Joakim Nivre. 2012. A Dynamic Oracle for Arc-Eager Dependency Parsing. In Proceedings of COLING 2012, pp 959--976, Mumbai, India, December. The COLING 2012 Organizing Committee. [dparse] url google scholar
Hao Zhang and Ryan McDonald. 2012. Generalized Higher-Order Dependency Parsing with Cube Pruning. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp 320--331, Jeju Island, Korea, July. Association for Computational Linguistics. [dparse, dparse.graph] url google scholar
Yue Zhang and Joakim Nivre. 2011. Transition-based Dependency Parsing with Rich Non-local Features. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp 188--193, Portland, Oregon, USA, June. Association for Computational Linguistics. [dparse] url pdf google scholar
Marco Kuhlmann, Carlos Gómez-Rodríguez and Giorgio Satta. 2011. Dynamic Programming Algorithms for Transition-Based Dependency Parsers. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp 673--682, Portland, Oregon, USA, June. Association for Computational Linguistics. [dparse] url google scholar
Jun Suzuki, Hideki Isozaki and Masaaki Nagata. 2011. Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp 636--641, Portland, Oregon, USA, June. Association for Computational Linguistics. [dparse, dparse.graph] url google scholar
Yue Zhang and Stephen Clark. 2011. Syntactic processing using the generalized perceptron and beam search. Computational Linguistics, vol 37, no 1, pp 105--151. MIT Press. [dparse] pdf google scholar
Bernd Bohnet. 2010. Top Accuracy and Fast Dependency Parsing is not a Contradiction. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pp 89--97, Beijing, China, August. Coling 2010 Organizing Committee. [dparse, dparse.graph] url google scholar
Terry Koo and Michael Collins. 2010. Efficient Third-Order Dependency Parsers. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp 1--11, Uppsala, Sweden, July. Association for Computational Linguistics. [dparse, dparse.graph] url pdf google scholar
Richard Socher, Christopher D Manning and Andrew Y Ng. 2010. Learning continuous phrase representations and syntactic parsing with recursive neural networks. In Proceedings of the NIPS-2010 Deep Learning and Unsupervised Feature Learning Workshop, pp 1--9. [dparse, toread] google scholar
Jun Suzuki, Hideki Isozaki, Xavier Carreras and Michael Collins. 2009. An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp 551--560, Singapore, August. Association for Computational Linguistics. [dparse, dparse.graph] pdf google scholar
S. Kübler, R. McDonald and J. Nivre. 2009. Dependency parsing. Morgan & Claypool, US. [book.language, dparse] pdf google scholar books
Yue Zhang and Stephen Clark. 2008. A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pp 562--571, Honolulu, Hawaii, October. Association for Computational Linguistics. [dparse] url google scholar
Terry Koo, Xavier Carreras and Michael Collins. 2008. Simple Semi-supervised Dependency Parsing. In Proceedings of ACL-08: HLT, pp 595--603, Columbus, Ohio, June. Association for Computational Linguistics. [dparse, dparse.graph] pdf google scholar
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel and Deniz Yuret, editors. 2007. The CoNLL 2007 Shared Task on Dependency Parsing, Prague, Czech Republic, June. [parsing, dparse, ai.ku] url google scholar
Xavier Carreras. 2007. Experiments with a Higher-Order Projective Dependency Parser. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pp 957--961, Prague, Czech Republic, June. Association for Computational Linguistics. [dparse, dparse.graph] pdf google scholar
Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel and Deniz Yuret. 2007. The CoNLL 2007 Shared Task on Dependency Parsing. In Proc. of the CoNLL 2007 Shared Task. Joint Conf. on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), June. [parsing, dparse, ai.ku] pdf google scholar
Deniz Yuret. 2006. Dependency Parsing as a Classification Problem. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), June. [dparse, parsing, ai.ku] url pdf ppt google scholar
Joakim Nivre, Johan Hall and Jens Nilsson. 2006. MaltParser: A data driven parser-generator for dependency parsing. In Proc. of LREC-2006. [parsing, dparse] pdf google scholar
Joakim Nivre, Johan Hall, Jens Nilsson, Gulsen Eryigit and Svetoslav Marinov. 2006. Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines. In Proceedings CoNLL-X. [parsing, dparse] pdf google scholar
Ryan McDonald, Kevin Lerman and Fernando Pereira. 2006. Multilingual Dependency Analysis with a Two-Stage Discriminative Parser. In Proceedings CoNLL-X. [parsing, dparse] pdf google scholar
Lluís Màrquez and Dan Klein, editors. 2006. CoNLL-2006. Shared task: Multilingual Dependency Parsing. [parsing, dparse] url google scholar
Sabine Buchholz and Erwin Marsi. 2006. CoNLL-X Shared Task on Multilingual Dependency Parsing. In Proceedings CoNLL-X. [parsing, dparse] url pdf google scholar
Ryan McDonald. 2006. Discriminative Learning and Spanning Tree Algorithms for Dependency Parsing. University of Pennsylvania. [dparse, parsing] pdf google scholar
Ryan T McDonald and Fernando CN Pereira. 2006. Online Learning of Approximate Dependency Parsing Algorithms.. In EACL. [dparse, parsing, dparse.graph] pdf google scholar
Ryan McDonald, Fernando Pereira, Kiril Ribarov and Jan Hajic. 2005. Non-projective Dependency Parsing using Spanning Tree Algorithms. In HLT-EMNLP '05. [dparse, parsing, conll08st] pdf google scholar
Ryan McDonald, Koby Crammer and Fernando Pereira. 2005. Spanning Tree Methods for Discriminative Training of Dependency Parsers. UPenn CIS Technical Report, no MS-CIS-05-11. University of Pennsylvania. [dparse, parsing] pdf google scholar
Ryan McDonald, Koby Crammer and Fernando Pereira. 2005. Online Large-Margin Training of Dependency Parsers. In ACL '05. [dparse, parsing, conll08st, dparse.graph] pdf google scholar
Joakim Nivre and Jens Nilsson. 2005. Pseudo-Projective Dependency Parsing. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pp 99--106. [parsing, dparse] pdf google scholar
Joakim Nivre. 2005. Inductive Dependency Parsing of Natural Language Text. Vaxjo University. [dparse, parsing] pdf google scholar
Joakim Nivre, Johan Hall and Jens Nilsson. 2004. Memory-based dependency parsing. In Proc. CoNLL-2004, pp 49--56. [parsing, dparse] ps google scholar
Hiroyasu Yamada and Yuji Matsumoto. 2004. Bottom-up Deterministic Analysis of Dependency Structure Using Support Vector Machines. In Transactions of IPSJ, vol 45, no 10, pp 2416--2427. [dparse, parsing] pdf google scholar
Ralph Debusmann, Denys Duchier and Geert-Jan M. Kruijff. 2004. Extensible Dependency Grammar: A New Methodology. In Proceedings of the COLING 2004 Workshop on Recent Advances in Dependency Grammar, Geneva/SUI. [dependency grammar, methodology, modularity, dparse, parsing] pdf abstract annote google scholar
Joakim Nivre. 2003. An efficient algorithm for projective dependency parsing. In Proc. of IWPT-2003, pp 149--60. [parsing, dparse] ps google scholar
Hiroyasu Yamada and Yuji Matsumoto. 2003. Statistical Dependency Analysis With Support Vector Machines. In Proceedings of 8th International Workshop on Parsing Technologies, pp 195--206. [dparse, parsing] pdf google scholar
Kemal Oflazer. 2003. Dependency Parsing with an Extended Finite State Approach. Computational Linguistics. [parsing, dparse] pdf google scholar
Alena Böhmová, Jan Hajič, Eva Hajičová and Barbora Hladká. 2001. The Prague Dependency Treebank: Three-Level Annotation Scenario. In Treebanks: Building and Using Syntactically Annotated Corpora. Kluwer Academic Publishers. [dparse] pdf google scholar
Michael A. Covington. 2001. A Fundamental Algorithm for Dependency Parsing. [parsing, dparse] pdf google scholar
Jason Eisner. 2000. Bilexical Grammars and their Cubic Time Parsing Algorithms. In New Developments in Natural Language Parsing. [parsing, dparse, dparse.graph] pdf google scholar
Dekang Lin. 1998. Dependency Based Evaluation of MINIPAR. In Proceedings of the Workshop on the Evaluation of Parsing Systems, First International Conference on Language Resources and Evaluation, Granada, Spain. [dparse, dependency grammar, parsing] pdf google scholar
Jason Eisner. 1997. Bilexical Grammars and a O(n3) Probabilistic Parser. [parsing, dparse] pdf google scholar
Jason Eisner. 1996. An empirical comparison of probability models for dependency grammar. Technical Report. University of Pennsylvania. [dparse, NLP, parsing] pdf google scholar
Jason Eisner. 1996. Three new probabilistic models for dependency parsing. In COLING-96. [NLP, dparse, dparse.graph] pdf google scholar

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