Domain Adaptation in Semantic Role Labeling Using a Neural Language Model and Linguistic Resources
暂无分享,去创建一个
Marie-Francine Moens | Steven Bethard | Quynh Ngoc Thi Do | Steven Bethard | Marie-Francine Moens | Q. Do
[1] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[2] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[3] Jason Weston,et al. Deep learning via semi-supervised embedding , 2008, ICML '08.
[4] Eugene Charniak,et al. Effective Self-Training for Parsing , 2006, NAACL.
[5] Cícero Nogueira dos Santos,et al. Semantic Role Labeling , 2012 .
[6] Zhen Zhang,et al. Enhanced Word Classing for Recurrent Neural Network Language Model , 2013 .
[7] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[8] Christopher D. Manning,et al. Unsupervised Discovery of a Statistical Verb Lexicon , 2006, EMNLP.
[9] Suzanne Stevenson,et al. Unsupervised Semantic Role Labellin , 2004, EMNLP.
[10] Dirk Noël. Beth Levin. English Verb Classes and Alternations: A Preliminary Investigation , 1995 .
[11] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[12] Beth Levin,et al. English Verb Classes and Alternations: A Preliminary Investigation , 1993 .
[13] Daniel Gildea,et al. The Proposition Bank: An Annotated Corpus of Semantic Roles , 2005, CL.
[14] Martha Palmer,et al. Verbnet: a broad-coverage, comprehensive verb lexicon , 2005 .
[15] Patrick Pantel,et al. From Frequency to Meaning: Vector Space Models of Semantics , 2010, J. Artif. Intell. Res..
[16] Yi Yang,et al. Learning Representations for Weakly Supervised Natural Language Processing Tasks , 2014, CL.
[17] Marie-Francine Moens,et al. A survey on the application of recurrent neural networks to statistical language modeling , 2015, Comput. Speech Lang..
[18] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[19] L MercerRobert,et al. Class-based n-gram models of natural language , 1992 .
[20] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[21] Mirella Lapata,et al. Semi-Supervised Semantic Role Labeling via Structural Alignment , 2012, CL.
[22] Marie-Francine Moens,et al. Semi-supervised Semantic Role Labeling Using the Latent Words Language Model , 2009, EMNLP.
[23] Vysoké Učení,et al. Statistical Language Models Based on Neural Networks , 2012 .
[24] Ari Rappoport,et al. Unsupervised Argument Identification for Semantic Role Labeling , 2009, ACL.
[25] Philipp Koehn,et al. Synthesis Lectures on Human Language Technologies , 2016 .
[26] Ralph Grishman,et al. The NomBank Project: An Interim Report , 2004, FCP@NAACL-HLT.
[27] Rasoul Samad Zadeh Kaljahi,et al. Adapting Self-Training for Semantic Role Labeling , 2010, ACL.
[28] Mark Dredze,et al. Low-Resource Semantic Role Labeling , 2014, ACL.
[29] Georgiana Dinu,et al. Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors , 2014, ACL.
[30] David A. Smith,et al. Improving NLP through Marginalization of Hidden Syntactic Structure , 2012, EMNLP-CoNLL.
[31] Pierre Nugues,et al. Multilingual Semantic Role Labeling , 2009, CoNLL Shared Task.
[32] Marie-Francine Moens,et al. Model-Portability Experiments for Textual Temporal Analysis , 2011, ACL.
[33] Alessandro Lenci,et al. Distributional Memory: A General Framework for Corpus-Based Semantics , 2010, CL.
[34] Xiaojin Zhu,et al. Semi-Supervised Learning , 2010, Encyclopedia of Machine Learning.
[35] Percy Liang,et al. Semi-Supervised Learning for Natural Language , 2005 .
[36] Marie-Francine Moens,et al. The latent words language model , 2012, Comput. Speech Lang..
[37] Beatrice Santorini,et al. The Penn Treebank: An Overview , 2003 .
[38] Ronan Collobert,et al. Deep Learning for Efficient Discriminative Parsing , 2011, AISTATS.
[39] Jason Weston,et al. Semantic Frame Identification with Distributed Word Representations , 2014, ACL.