Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing
暂无分享,去创建一个
[1] David M. Magerman. Statistical Decision-Tree Models for Parsing , 1995, ACL.
[2] Andrés Marzal,et al. Computation of the N Best Parse Trees for Weighted and Stochastic Context-Free Grammars , 2000, SSPR/SPR.
[3] Dan Klein,et al. Learning Accurate, Compact, and Interpretable Tree Annotation , 2006, ACL.
[4] Anoop Sarkar,et al. Applying Co-Training Methods to Statistical Parsing , 2001, NAACL.
[5] Ralph Grishman,et al. A Procedure for Quantitatively Comparing the Syntactic Coverage of English Grammars , 1991, HLT.
[6] Igor Mel’čuk,et al. Dependency Syntax: Theory and Practice , 1987 .
[7] Josef van Genabith,et al. Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training , 2007, IWPT.
[8] Joshua Goodman,et al. A bit of progress in language modeling , 2001, Comput. Speech Lang..
[9] Micha Elsner,et al. EM Works for Pronoun Anaphora Resolution , 2009, EACL.
[10] Brian Roark,et al. Supervised and unsupervised PCFG adaptation to novel domains , 2003, NAACL.
[11] David A. Smith,et al. Parser Adaptation and Projection with Quasi-Synchronous Grammar Features , 2009, EMNLP.
[12] Ann Bies,et al. Bracketing Guidelines For Treebank II Style Penn Treebank Project , 1995 .
[13] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[14] Michael Collins,et al. Discriminative Reranking for Natural Language Parsing , 2000, CL.
[15] Eugene Charniak,et al. Reranking and Self-Training for Parser Adaptation , 2006, ACL.
[16] Alexander Dekhtyar,et al. Information Retrieval , 2018, Lecture Notes in Computer Science.
[17] Satoshi Sekine,et al. The Domain Dependence of Parsing , 1997, ANLP.
[18] Brian Roark,et al. MAP adaptation of stochastic grammars , 2006, Comput. Speech Lang..
[19] Martin Kay,et al. Syntactic Process , 1979, ACL.
[20] Xiaojin Zhu,et al. Semi-Supervised Learning Literature Survey , 2005 .
[21] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[22] Fernando Pereira,et al. Non-Projective Dependency Parsing using Spanning Tree Algorithms , 2005, HLT.
[23] F ChenStanley,et al. An Empirical Study of Smoothing Techniques for Language Modeling , 1996, ACL.
[24] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.
[25] Andrew B. Clegg,et al. Evaluating and Integrating Treebank Parsers on a Biomedical Corpus , 2005, ACL 2005.
[26] Charles Jochim,et al. A Simple Method for Tagset Comparision , 2008, LREC.
[27] Jun'ichi Tsujii,et al. Task-oriented Evaluation of Syntactic Parsers and Their Representations , 2008, ACL.
[28] Jun'ichi Tsujii,et al. Syntax Annotation for the GENIA Corpus , 2005, IJCNLP.
[29] Dan Klein,et al. Discriminative Log-Linear Grammars with Latent Variables , 2007, NIPS.
[30] Hans van Halteren,et al. Linguistic Profiling for Authorship Recognition and Verification , 2004, ACL.
[31] Mark Steedman,et al. Bootstrapping statistical parsers from small datasets , 2003, EACL.
[32] Micha Elsner,et al. Coreference-inspired Coherence Modeling , 2008, ACL.
[33] Walter Daelemans,et al. Authorship Attribution and Verification with Many Authors and Limited Data , 2008, COLING.
[34] Christopher D. Manning,et al. Hierarchical Bayesian Domain Adaptation , 2009, NAACL.
[35] Ben Medlock,et al. Exploring hedge identification in biomedical literature , 2008, J. Biomed. Informatics.
[36] Mark Johnson,et al. Estimators for Stochastic “Unification-Based” Grammars , 1999, ACL.
[37] Stephen R. Clark,et al. CLSP WS-02 Final Report: Semi-Supervised Training for Statistical Parsing , 2003 .
[38] Zhongmin Shi,et al. Simultaneous Identification of Biomedical Named-Entity and Functional Relation Using Statistical Parsing Techniques , 2007, HLT-NAACL.
[39] Kenji Yamada,et al. Syntax-based language models for statistical machine translation , 2003, ACL 2003.
[40] Ayhan Demiriz,et al. Semi-Supervised Support Vector Machines , 1998, NIPS.
[41] Matthew Lease,et al. A Look at Parsing and Its Applications , 2006, AAAI.
[42] Koby Crammer,et al. Online Methods for Multi-Domain Learning and Adaptation , 2008, EMNLP.
[43] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[44] Eugene Charniak,et al. Immediate-Head Parsing for Language Models , 2001, ACL.
[45] John Blitzer,et al. Domain Adaptation with Structural Correspondence Learning , 2006, EMNLP.
[46] Eugene Charniak,et al. Automatic Domain Adaptation for Parsing , 2010, NAACL.
[47] Matt Post,et al. Syntax-based language models for statistical machine translation , 2010 .
[48] S.J.J. Smith,et al. Empirical Methods for Artificial Intelligence , 1995 .
[49] Sanjoy Dasgupta,et al. PAC Generalization Bounds for Co-training , 2001, NIPS.
[50] Daisuke Kawahara,et al. Learning Reliability of Parses for Domain Adaptation of Dependency Parsing , 2008, IJCNLP.
[51] Tong Zhang,et al. A High-Performance Semi-Supervised Learning Method for Text Chunking , 2005, ACL.
[52] John D. Lafferty,et al. Decision Tree Parsing using a Hidden Derivation Model , 1994, HLT.
[53] Sebastian Riedel,et al. The CoNLL 2007 Shared Task on Dependency Parsing , 2007, EMNLP.
[54] Xavier Carreras,et al. TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing , 2008, CoNLL.
[55] Rada Mihalcea,et al. Co-training and Self-training for Word Sense Disambiguation , 2004, CoNLL.
[56] Tejaswini Deoskar,et al. Re-estimation of Lexical Parameters for Treebank PCFGs , 2008, COLING.
[57] David Chiang,et al. Better k-best Parsing , 2005, IWPT.
[58] Daniel Gildea,et al. Corpus Variation and Parser Performance , 2001, EMNLP.
[59] Matthew Lease,et al. Parsing Biomedical Literature , 2005, IJCNLP.
[60] Dale Schuurmans,et al. Semi-Supervised Convex Training for Dependency Parsing , 2008, ACL.
[61] Eugene Charniak,et al. Supervised and Unsupervised Learning for Sentence Compression , 2005, ACL.
[62] Zhongmin Shi,et al. Exploiting Rich Syntactic Information for Relationship Extraction from Biomedical Articles , 2007, HLT-NAACL.
[63] Kevin Duh,et al. Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing , 2009, HLT-NAACL 2009.
[64] John D. Lafferty,et al. Towards History-based Grammars: Using Richer Models for Probabilistic Parsing , 1993, ACL.
[65] Mirella Lapata,et al. Proceedings of ACL-08: HLT , 2008 .
[66] Micha Elsner,et al. A Unified Local and Global Model for Discourse Coherence , 2007, NAACL.
[67] Mihai Surdeanu,et al. Event Extraction as Dependency Parsing for BioNLP 2011 , 2011, BioNLP@ACL.
[68] Josef van Genabith,et al. Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics , 2008, LREC.
[69] Michael Collins,et al. Three Generative, Lexicalised Models for Statistical Parsing , 1997, ACL.
[70] Mirella Lapata,et al. Modeling Local Coherence: An Entity-Based Approach , 2005, ACL.
[71] Matthew Lease,et al. An Improved Model for Recognizing Disfluencies in Conversational Speech , 2004 .
[72] Eugene Charniak,et al. Statistical Parsing with a Context-Free Grammar and Word Statistics , 1997, AAAI/IAAI.
[73] Hal Daumé,et al. Frustratingly Easy Domain Adaptation , 2007, ACL.
[74] Adwait Ratnaparkhi,et al. Learning to Parse Natural Language with Maximum Entropy Models , 1999, Machine Learning.
[75] Kevin Knight,et al. Automatic Prediction of Parser Accuracy , 2008, EMNLP.
[76] Markus Dickinson,et al. Correcting Dependency Annotation Errors , 2009, EACL.
[77] Claire Cardie,et al. Weakly Supervised Natural Language Learning Without Redundant Views , 2003, NAACL.
[78] Eugene Charniak,et al. A Maximum-Entropy-Inspired Parser , 2000, ANLP.
[79] Rens Bod. An efficient implementation of a new DOP model , 2003, EACL.
[80] Jennifer Foster,et al. Similarity Rules! Exploring Methods for Ad-Hoc Rule Detection , 2008 .
[81] Alon Lavie,et al. Parser Combination by Reparsing , 2006, NAACL.
[82] Joakim Nivre,et al. Pseudo-Projective Dependency Parsing , 2005, ACL.
[83] Zheng-Yu Niu,et al. Exploiting Heterogeneous Treebanks for Parsing , 2009, ACL/IJCNLP.
[84] Khalil Sima'an,et al. Proceedings of the Sixth International Language Resources and Evaluation (LREC'08) , 2008 .
[85] Liang Huang,et al. Forest Reranking: Discriminative Parsing with Non-Local Features , 2008, ACL.
[86] Joshua Goodman,et al. A bit of progress in language modeling , 2001, Comput. Speech Lang..
[87] James R. Curran,et al. Bootstrapping POS-taggers using unlabelled data , 2003, CoNLL.
[88] Ari Rappoport,et al. Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets , 2007, ACL.
[89] Phil Blunsom,et al. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics , 2009 .
[90] Alexander M. Fraser,et al. Semi-Supervised Training for Statistical Word Alignment , 2006, ACL.
[91] Valentin I. Spitkovsky,et al. Stanford's Distantly-Supervised Slot-Filling System , 2011, TAC.
[92] Peng Xu,et al. A Study on Richer Syntactic Dependencies for Structured Language Modeling , 2002, ACL.
[93] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[94] Barbara Plank,et al. Subdomain Sensitive Statistical Parsing using Raw Corpora , 2008, LREC.
[95] Xavier Carreras,et al. Simple Semi-supervised Dependency Parsing , 2008, ACL.
[96] Brian Roark,et al. Probabilistic Top-Down Parsing and Language Modeling , 2001, CL.
[97] Mats Rooth,et al. Structural Ambiguity and Lexical Relations , 1991, ACL.
[98] Jorge Nocedal,et al. A Limited Memory Algorithm for Bound Constrained Optimization , 1995, SIAM J. Sci. Comput..
[99] Xiaoqiang Luo,et al. Multi-Lingual Coreference Resolution With Syntactic Features , 2005, HLT/EMNLP.
[100] Philip Resnik,et al. More than Words: Syntactic Packaging and Implicit Sentiment , 2009, NAACL.
[101] Eugene Charniak,et al. Effective Self-Training for Parsing , 2006, NAACL.
[102] Eugene Charniak,et al. Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking , 2005, ACL.
[103] Jorge Nocedal,et al. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.
[104] Walt Detmar Meurers,et al. On Detecting Errors in Dependency Treebanks , 2008 .
[105] Sharon Goldwater,et al. Improving Statistical MT through Morphological Analysis , 2005, HLT.
[106] Frederick Jelinek,et al. Exploiting Syntactic Structure for Language Modeling , 1998, ACL.
[107] Yves Schabes,et al. Stochastic Lexicalized Tree-adjoining Grammars , 1992, COLING.
[108] Christopher D. Manning,et al. Efficient, Feature-based, Conditional Random Field Parsing , 2008, ACL.
[109] Halil Kilicoglu,et al. Recognizing speculative language in biomedical research articles: a linguistically motivated perspective , 2008, BMC Bioinformatics.
[110] John Blitzer,et al. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification , 2007, ACL.
[111] Wayne H. Ward,et al. Towards Robust Semantic Role Labeling , 2007, CL.
[112] Stefan Schaal,et al. Incremental Online Learning in High Dimensions , 2005, Neural Computation.
[113] James Henderson,et al. Discriminative Training of a Neural Network Statistical Parser , 2004, ACL.
[114] Mary P. Harper,et al. SParseval: Evaluation Metrics for Parsing Speech , 2006, LREC.