Head-Driven Statistical Models for Natural Language Parsing

Keywords

Computer science, Treebank, Bigram, Natural language processing, Artificial intelligence

References

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• A Probabilistic Parser and Its ApplicationMark A. Jones, Jason Eisner — 1992
• Corpus Variation and Parser PerformanceDaniel Gildea — 2001
• Foundations of Statistical Natural Language ProcessingPaul B. Kantor — 2001
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• A Maximum-Entropy-Inspired ParserEugene Charniak — 2000
• An Efficient Boosting Algorithm for Combining PreferencesYoav Freund, Raj D. Iyer, Robert E. Schapire — 1998
• Statistical Parsing with a Context-Free Grammar and Word StatisticsEugene Charniak — 1997
• Grammatical Trigrams: A Probabilistic Model of Link GrammarJohn Lafferty, Saniel Sleator, Davy Temperley — 1992
• A Novel Use of Statistical Parsing to Extract Information from TextS.L. Miller, Heidi Fox, Lance Ramshaw — 2000
• Building a Large Annotated Corpus of English: The Penn TreebankMitchell P. Marcus — 1993
• A Maximum Entropy Model for Part-Of-Speech TaggingAdwait Ratnaparkhi — 1996
• TINA: A Natural Language System for Spoken Language ApplicationsStephanie Seneff — 1992
• Generalized Phrase Structure GrammarScott Soames, Gerald Gazdar, Ewan Klein — 1985
• Stochastic Lexicalized Tree-adjoining GrammarsYves Schabes — 1992
• Three Generative, Lexicalised Models for Statistical ParsingMichael Collins — 1997
• The Language InstinctSteven Pinker — 1994
• Automatic Learning for Semantic CollocationSatoshi Sekine, Jeremy J. Carroll, Sofia Ananiadou — 1992
• Introduction to Automata Theory, Languages and ComputationJ. Hopcroft, Rajeev Motwani, Rotwani — 1979

Cited by

• Learning and Inference for Hierarchically Split PCFGsSlav Petrov, Dan Klein — 2007
• Parsing with automatically acquired, wide-coverage, robust, probabilistic LFG approximationsAoife Cahill — 2004
• Extracting and using trace-free functional dependencies from the penn treebank to reduce parsing complexityGerold Schneider — 2003
• Tree Distance and Some Other Variants of EvalbMartin Emms — 2008
• Distributed Latent Variable Models of Lexical Co-occurrencesJohn Blitzer, Amir Globerson, Fernando Pereira — 2005
• Lexicalized and Statistical Parsing of Natural Langu age Text in Tamil using Hybrid Language ModelsM. Selvam, R. Thangarajan — 2008
• Learning for information extraction: from named entity recognition and disambiguation to relation extractionRaymond J. Mooney, Răzvan Bunescu — 2007
• Minimization of dependency length in written English.Maria-Amparo Sanmateu, Matthias Trier, Andreas Rederer — 2007
• RelaxCor Participation in CoNLL Shared Task on Coreference ResolutionEmili Sapena, Lluís Padró, Jordi Turmo — 2011
• Information Density and Syntactic RepetitionPatry Tello, F. Camacho Rubio, E. Jurado — 2015
• A First Experimental Demonstration of Massive Knowledge InfusionLoizos Michael, Leslie G. Valiant — 2008
• Latent Semantic Grammar Induction: Context, Projectivity, and Prior DistributionsAndrew M. Olney — 2007
• Data-driven computational linguistics at FaMAF-UNC, ArgentinaLaura Alonso Alemany, Gabriel Infante-López — 2010
• Machine Learning for Natural Language ProcessingMartin Emms — 2011
• A Review on Natural Language Processing in Opinion MiningDebnath Bhattacharyya, Susmita Biswas, Tai-hoon Kim — 2010
• Automatic extraction of subcategorization frames for ItalianDino Ienco, Serena Villata, Cristina Bosco — 2008
• Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese ParserDaisuke Kawahara, Sadao Kurohashi — 2007
• TTS - A Treebank Tool SuiteAoife Cahill, Josef van Genabith — 2002
• A* Search via Approximate FactoringAria Haghighi, John DeNero, Dan Klein — 2007
• Clustering by Tree Distance for Parse Tree NormalisationMartin Emms — 2016

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