A Search-Based Dynamic Reranking Model for Dependency Parsing
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Yue Zhang | Hao Zhou | Shujian Huang | Xinyu Dai | Jiajun Chen | Junsheng Zhou | Junsheng Zhou | Shujian Huang | Hao Zhou | Xinyu Dai | Jiajun Chen | Yue Zhang
[1] Nathan Ratliff,et al. Online) Subgradient Methods for Structured Prediction , 2007 .
[2] Noah A. Smith,et al. Transition-Based Dependency Parsing with Stack Long Short-Term Memory , 2015, ACL.
[3] Alan Fern,et al. Output Space Search for Structured Prediction , 2012, ICML.
[4] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[5] Joakim Nivre,et al. Algorithms for Deterministic Incremental Dependency Parsing , 2008, CL.
[6] Andrew Y. Ng,et al. Parsing with Compositional Vector Grammars , 2013, ACL.
[7] Yoshua Bengio,et al. Hierarchical Probabilistic Neural Network Language Model , 2005, AISTATS.
[8] Alan Fern,et al. HC-Search: Learning Heuristics and Cost Functions for Structured Prediction , 2013, AAAI.
[9] Michael Collins,et al. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms , 2002, EMNLP.
[10] Phong Le,et al. The Inside-Outside Recursive Neural Network model for Dependency Parsing , 2014, EMNLP.
[11] Xuanjing Huang,et al. A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network , 2015, ACL.
[12] Geoffrey E. Hinton,et al. A Scalable Hierarchical Distributed Language Model , 2008, NIPS.
[13] Remko Scha,et al. Learning from errors: Using vector-based compositional semantics for parse reranking , 2013, CVSM@ACL.
[14] Eugene Charniak,et al. Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking , 2005, ACL.
[15] Xuanjing Huang,et al. Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks , 2015, EMNLP.
[16] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[17] Michael Collins,et al. Discriminative Reranking for Natural Language Parsing , 2000, CL.
[18] Baobao Chang,et al. An Effective Neural Network Model for Graph-based Dependency Parsing , 2015, ACL.
[19] Yue Zhang,et al. A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing , 2015, ACL.
[20] Yuji Matsumoto. MaltParser: A language-independent system for data-driven dependency parsing , 2005 .
[21] Liang Huang,et al. Forest Reranking: Discriminative Parsing with Non-Local Features , 2008, ACL.
[22] Noah A. Smith,et al. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs , 2015, EMNLP.
[23] Danqi Chen,et al. A Fast and Accurate Dependency Parser using Neural Networks , 2014, EMNLP.
[24] Yuji Matsumoto,et al. Efficient Stacked Dependency Parsing by Forest Reranking , 2013, Transactions of the Association for Computational Linguistics.
[25] David Chiang,et al. Better k-best Parsing , 2005, IWPT.
[26] Yuji Matsumoto,et al. Third-order Variational Reranking on Packed-Shared Dependency Forests , 2011, EMNLP.
[27] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[28] Yoav Goldberg,et al. Efficient Implementation of Beam-Search Incremental Parsers , 2013, ACL.
[29] Slav Petrov,et al. Structured Training for Neural Network Transition-Based Parsing , 2015, ACL.
[30] Joshua Goodman,et al. Parsing Inside-Out , 1998, ArXiv.
[31] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.