Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
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[1] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.
[2] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[3] Alexandra Kinyon,et al. Building a Treebank for French , 2000, LREC.
[4] James Henderson,et al. Discriminative Training of a Neural Network Statistical Parser , 2004, ACL.
[5] Eugene Charniak,et al. Reranking and Self-Training for Parser Adaptation , 2006, ACL.
[6] Alon Lavie,et al. A Best-First Probabilistic Shift-Reduce Parser , 2006, ACL.
[7] Dan Klein,et al. Improved Inference for Unlexicalized Parsing , 2007, NAACL.
[8] Xavier Carreras,et al. TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing , 2008, CoNLL.
[9] Liang Huang,et al. Forest Reranking: Discriminative Parsing with Non-Local Features , 2008, ACL.
[10] Kenji Sagae,et al. Dynamic Programming for Linear-Time Incremental Parsing , 2010, ACL.
[11] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[12] Hiroyuki Shindo,et al. Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing , 2012, ACL.
[13] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[14] Hermann Ney,et al. LSTM Neural Networks for Language Modeling , 2012, INTERSPEECH.
[15] Yue Zhang,et al. Fast and Accurate Shift-Reduce Constituent Parsing , 2013, ACL.
[16] Andrew Y. Ng,et al. Parsing with Compositional Vector Grammars , 2013, ACL.
[17] Joakim Nivre,et al. Training Deterministic Parsers with Non-Deterministic Oracles , 2013, TACL.
[18] Giorgio Satta,et al. A Tabular Method for Dynamic Oracles in Transition-Based Parsing , 2014, TACL.
[19] Agnieszka Falenska,et al. Introducing the IMS-Wrocław-Szeged-CIS entry at the SPMRL 2014 Shared Task: Reranking and Morpho-syntax meet Unlabeled Data , 2014 .
[20] Reut Tsarfaty,et al. Introducing the SPMRL 2014 Shared Task on Parsing Morphologically-rich Languages , 2014 .
[21] Danqi Chen,et al. A Fast and Accurate Dependency Parser using Neural Networks , 2014, EMNLP.
[22] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[23] Slav Petrov,et al. Structured Training for Neural Network Transition-Based Parsing , 2015, ACL.
[24] Taro Watanabe,et al. Transition-based Neural Constituent Parsing , 2015, ACL.
[25] Haitao Mi,et al. Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice , 2015, NAACL.
[26] Geoffrey E. Hinton,et al. Grammar as a Foreign Language , 2014, NIPS.
[27] Yusuke Miyao,et al. Optimal Shift-Reduce Constituent Parsing with Structured Perceptron , 2015, ACL.
[28] Noah A. Smith,et al. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs , 2015, EMNLP.
[29] Noah A. Smith,et al. Transition-Based Dependency Parsing with Stack Long Short-Term Memory , 2015, ACL.
[30] Dan Klein,et al. Neural CRF Parsing , 2015, ACL.
[31] James Cross,et al. Incremental Parsing with Minimal Features Using Bi-Directional LSTM , 2016, ACL.
[32] Slav Petrov,et al. Globally Normalized Transition-Based Neural Networks , 2016, ACL.
[33] Noah A. Smith,et al. Training with Exploration Improves a Greedy Stack LSTM Parser , 2016, EMNLP.
[34] Baobao Chang,et al. Graph-based Dependency Parsing with Bidirectional LSTM , 2016, ACL.
[35] Noah A. Smith,et al. Recurrent Neural Network Grammars , 2016, NAACL.
[36] Eliyahu Kiperwasser,et al. Easy-First Dependency Parsing with Hierarchical Tree LSTMs , 2016, TACL.
[37] Maximin Coavoux,et al. Neural Greedy Constituent Parsing with Dynamic Oracles , 2016, ACL.
[38] Eliyahu Kiperwasser,et al. Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations , 2016, TACL.