Survey on the Use of Typological Information in Natural Language Processing
暂无分享,去创建一个
Ivan Vulic | Anna Korhonen | Roi Reichart | Yevgeni Berzak | Helen O'Horan | A. Korhonen | Yevgeni Berzak | Roi Reichart | Ivan Vulic | Helen O'Horan
[1] Noah A. Smith,et al. Many Languages, One Parser , 2016, TACL.
[2] Dragomir R. Radev,et al. Classifying Syntactic Regularities for Hundreds of Languages , 2016, ArXiv.
[3] B. Bickel. Typology in the 21st century: Major current developments , 2007 .
[4] Philip Resnik,et al. Cross-Language Parser Adaptation between Related Languages , 2008, IJCNLP.
[5] Mirella Lapata,et al. Cross-linguistic Projection of Role-Semantic Information , 2005, HLT/EMNLP.
[6] Anders Søgaard. Data point selection for cross-language adaptation of dependency parsers , 2011, ACL.
[7] Ivan Titov,et al. Inducing Crosslingual Distributed Representations of Words , 2012, COLING.
[8] Mark Johnson,et al. Using Universal Linguistic Knowledge to Guide Grammar Induction , 2010, EMNLP.
[9] Anna Korhonen,et al. Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints , 2013, NAACL.
[10] Michael Collins,et al. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms , 2002, EMNLP.
[11] Regina Barzilay,et al. Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings , 2016, NAACL.
[12] Dan Roth,et al. Confidence Driven Unsupervised Semantic Parsing , 2011, ACL.
[13] Thomas Mayer,et al. Language comparison through sparse multilingual word alignment , 2012, EACL 2012.
[14] Guillaume Lample,et al. Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning , 2016, NAACL.
[15] Tommi S. Jaakkola,et al. Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations , 2007, NIPS.
[16] Hal Daumé,et al. A Bayesian Model for Discovering Typological Implications , 2007, ACL.
[17] Regina Barzilay,et al. Learning to Map into a Universal POS Tagset , 2012, EMNLP-CoNLL.
[18] Danqi Chen,et al. A Fast and Accurate Dependency Parser using Neural Networks , 2014, EMNLP.
[19] Chris Brew,et al. A Resource-light Approach to Russian Morphology: Tagging Russian using Czech resources , 2004, EMNLP.
[20] Slav Petrov,et al. Multi-Source Transfer of Delexicalized Dependency Parsers , 2011, EMNLP.
[21] Pushpak Bhattacharyya,et al. Together We Can: Bilingual Bootstrapping for WSD , 2011, ACL.
[22] Jakob Uszkoreit,et al. Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure , 2012, NAACL.
[23] Philippe Maurer,et al. Atlas of Pidgin and Creole language structures online , 2013 .
[24] Slav Petrov,et al. A Universal Part-of-Speech Tagset , 2011, LREC.
[25] Michael Daniel. Linguistic Typology and the Study of Language , 2010 .
[26] Andrew McCallum,et al. Fast and Robust Joint Models for Biomedical Event Extraction , 2011, EMNLP.
[27] Ian Maddieson,et al. LAPSyd: lyon-albuquerque phonological systems database , 2013, INTERSPEECH.
[28] Emily M. Bender. Linguistic I Ssues in L Anguage Technology Lilt on Achieving and Evaluating Language-independence in Nlp on Achieving and Evaluating Language-independence in Nlp , 2022 .
[29] Simone Paolo Ponzetto,et al. Joining Forces Pays Off: Multilingual Joint Word Sense Disambiguation , 2012, EMNLP.
[30] David Vandyke,et al. Counter-fitting Word Vectors to Linguistic Constraints , 2016, NAACL.
[31] Rudolf Rosa,et al. KLcpos3 - a Language Similarity Measure for Delexicalized Parser Transfer , 2015, ACL.
[32] Ari Rappoport,et al. Improved Fully Unsupervised Parsing with Zoomed Learning , 2010, EMNLP.
[33] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[34] Alexander M. Rush,et al. Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints , 2012, EMNLP-CoNLL.
[35] Gideon S. Mann,et al. Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields , 2008, ACL.
[36] Jonathan E. Clark,et al. Fast and Robust , 2002, Int. J. Robotics Res..
[37] Joakim Nivre,et al. Universal Stanford dependencies: A cross-linguistic typology , 2014, LREC.
[38] Guillaume Wenzek,et al. Trans-gram, Fast Cross-lingual Word-embeddings , 2015, EMNLP.
[39] Regina Barzilay,et al. Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing , 2015, EMNLP.
[40] Anna Korhonen,et al. An Unsupervised Model for Instance Level Subcategorization Acquisition , 2014, EMNLP.
[41] Emily M. Bender,et al. Towards Creating Precision Grammars from Interlinear Glossed Text: Inferring Large-Scale Typological Properties , 2013, LaTeCH@ACL.
[42] Xuanjing Huang,et al. Investigating Language Universal and Specific Properties in Word Embeddings , 2016, ACL.
[43] Dik Bakker. LINFER: inferring implications from the WALS database , 2008 .
[44] Regina Barzilay,et al. Multi-Event Extraction Guided by Global Constraints , 2012, NAACL.
[45] Noah A. Smith,et al. Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance , 2011, EMNLP.
[46] Phil Blunsom,et al. Multilingual Models for Compositional Distributed Semantics , 2014, ACL.
[47] Boris Katz,et al. Reconstructing Native Language Typology from Foreign Language Usage , 2014, CoNLL.
[48] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[49] Noah A. Smith,et al. Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction , 2009, NAACL.
[50] Fei Xia,et al. Automatically Identifying Computationally Relevant Typological Features , 2008, IJCNLP.
[51] Ming-Wei Chang,et al. Guiding Semi-Supervision with Constraint-Driven Learning , 2007, ACL.
[52] Hinrich Schütze,et al. AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes , 2015, ACL.
[53] Robert Östling,et al. Word Order Typology through Multilingual Word Alignment , 2015, ACL.
[54] Marie-Francine Moens,et al. Bilingual Distributed Word Representations from Document-Aligned Comparable Data , 2015, J. Artif. Intell. Res..
[55] Fei Xia,et al. Comparing Language Similarity across Genetic and Typologically-Based Groupings , 2010, COLING.
[56] Ben Taskar,et al. Posterior Regularization for Structured Latent Variable Models , 2010, J. Mach. Learn. Res..
[57] Joakim Nivre,et al. Target Language Adaptation of Discriminative Transfer Parsers , 2013, NAACL.
[58] Hiroya Takamura,et al. Discriminative Analysis of Linguistic Features for Typological Study , 2016, LREC.
[59] P Karatsareas. Syntactic Structures of the World’s Languages – Greek (Cappadocian) , 2015 .
[60] Valentin I. Spitkovsky,et al. Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction , 2011, EMNLP.
[61] Slav Petrov,et al. Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections , 2011, ACL.
[62] Benjamin Snyder,et al. Unsupervised multilingual learning , 2010 .
[63] Joseph H. Greenberg,et al. Some Universals of Grammar with Particular Reference to the Order of Meaningful Elements , 1990, On Language.
[64] Alexander M. Rush,et al. On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing , 2010, EMNLP.
[65] Boris Katz,et al. Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL , 2015, CoNLL.
[66] Roi Reichart,et al. Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling , 2015 .
[67] Regina Barzilay,et al. Selective Sharing for Multilingual Dependency Parsing , 2012, ACL.
[68] Sampo Pyysalo,et al. Universal Dependencies v1: A Multilingual Treebank Collection , 2016, LREC.
[69] Dan Klein,et al. Phylogenetic Grammar Induction , 2010, ACL.
[70] Kevin Knight,et al. Grapheme-to-Phoneme Models for (Almost) Any Language , 2016, ACL.
[71] Philip Resnik,et al. Bootstrapping parsers via syntactic projection across parallel texts , 2005, Natural Language Engineering.
[72] Shashi Narayan,et al. Encoding Prior Knowledge with Eigenword Embeddings , 2015, TACL.
[73] François Yvon,et al. Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning , 2014, EMNLP.
[74] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.
[75] Yan Song,et al. Modern Chinese Helps Archaic Chinese Processing: Finding and Exploiting the Shared Properties , 2014, LREC.