Feature Embedding for Dependency Parsing
暂无分享,去创建一个
[1] Hitoshi Isahara,et al. An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging , 2009, ACL/IJCNLP.
[2] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[3] Tong Zhang,et al. A High-Performance Semi-Supervised Learning Method for Text Chunking , 2005, ACL.
[4] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[5] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[6] Bernd Bohnet,et al. Top Accuracy and Fast Dependency Parsing is not a Contradiction , 2010, COLING.
[7] Yoshua Bengio,et al. Neural net language models , 2008, Scholarpedia.
[8] Joakim Nivre,et al. Characterizing the Errors of Data-Driven Dependency Parsing Models , 2007, EMNLP.
[9] Joakim Nivre,et al. Memory-Based Dependency Parsing , 2004, CoNLL.
[10] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[11] Joakim Nivre,et al. A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing , 2012, EMNLP.
[12] Wanxiang Che,et al. Improving Chinese POS Tagging with Dependency Parsing , 2011, IJCNLP.
[13] Joakim Nivre,et al. Integrating Graph-Based and Transition-Based Dependency Parsers , 2008, ACL.
[14] Stephen Clark,et al. A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing , 2008, EMNLP.
[15] Xavier Carreras,et al. Simple Semi-supervised Dependency Parsing , 2008, ACL.
[16] Dekang Lin,et al. Using Syntactic Dependency as Local Context to Resolve Word Sense Ambiguity , 1997, ACL.
[17] Yuji Matsumoto,et al. Statistical Dependency Analysis with Support Vector Machines , 2003, IWPT.
[18] Adwait Ratnaparkhi,et al. A Maximum Entropy Model for Part-Of-Speech Tagging , 1996, EMNLP.
[19] Lukás Burget,et al. Neural network based language models for highly inflective languages , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[20] Jie Zhou,et al. Generalization of Words for Chinese Dependency Parsing , 2013, IWPT.
[21] Michael Collins,et al. Efficient Third-Order Dependency Parsers , 2010, ACL.
[22] Xiaoqing Zheng,et al. Deep Learning for Chinese Word Segmentation and POS Tagging , 2013, EMNLP.
[23] Wanxiang Che,et al. A Separately Passive-Aggressive Training Algorithm for Joint POS Tagging and Dependency Parsing , 2012, COLING.
[24] Yue Zhang,et al. Semi-Supervised Feature Transformation for Dependency Parsing , 2013, EMNLP.
[25] Joakim Nivre,et al. Transition-based Dependency Parsing with Rich Non-local Features , 2011, ACL.
[26] James R. Curran,et al. Supersense Tagging of Unknown Nouns Using Semantic Similarity , 2005, ACL.
[27] Sebastian Riedel,et al. The CoNLL 2007 Shared Task on Dependency Parsing , 2007, EMNLP.
[28] Xavier Carreras,et al. An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing , 2009, EMNLP.
[29] Kentaro Torisawa,et al. Improving Dependency Parsing with Subtrees from Auto-Parsed Data , 2009, EMNLP.
[30] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[31] Koby Crammer,et al. Online Large-Margin Training of Dependency Parsers , 2005, ACL.
[32] Li Cai,et al. Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing , 2011, ACL.
[33] Andrew Y. Ng,et al. Parsing with Compositional Vector Grammars , 2013, ACL.
[34] Bo Xu,et al. Probabilistic Models for Action-Based Chinese Dependency Parsing , 2007, ECML.
[35] Koby Crammer,et al. Ultraconservative Online Algorithms for Multiclass Problems , 2001, J. Mach. Learn. Res..
[36] Xavier Carreras,et al. Experiments with a Higher-Order Projective Dependency Parser , 2007, EMNLP.
[37] Jun'ichi Tsujii,et al. Incremental Joint POS Tagging and Dependency Parsing in Chinese , 2011, IJCNLP.
[38] Haizhou Li,et al. Joint Models for Chinese POS Tagging and Dependency Parsing , 2011, EMNLP.
[39] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[40] Masaaki Nagata,et al. Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning , 2011, ACL.