Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser

Keywords

Computer science, Parsing, Natural language processing, Artificial intelligence, Probabilistic logic

References

• A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure AnalysisDaisuke Kawahara, Sadao Kurohashi — 2006
• Disambiguating coordinations using word distribution informationFrancis Chantree, Adam Kilgarriff, Anne De Roeck — 2005
• Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural LanguagePhilip Resnik — 1999
• A Syntactic Analysis Method of Long Japanese Sentences Based on the Detection of Conjunctive StructuresSadao Kurohashi, Makoto Nagao — 1994
• Linear-Time Dependency Analysis for JapaneseManabu Sassano — 2004
• Japanese Dependency Analysis using Cascaded ChunkingTaku Kudo, Yūji Matsumoto — 2002
• Head-Driven Statistical Models for Natural Language ParsingMichael Collins — 2003
• An Unsupervised Model for Statistically Determining Coordinate Phrase AttachmentMiriam L. Goldberg — 1999
• Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative RerankingEugene Charniak, Mark Johnson — 2005
• Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic ModelingAmit Dubey, Frank Keller, Patrick Sturt — 2006
• A Simple but Useful Approach to Conjunct IdentificationRajeev Agarwal, Lois Boggess — 1992
• Case Frame Compilation from the Web using High-Performance ComputingDaisuke Kawahara, Sadao Kurohashi — 2006
• A fully-lexicalized probabilistic model for Japanese syntactic and case structure analysisDaisuke Kawahara, Sadao Kurohashi — 2006
• Analyzing Coordinate Structures Including Punctuation in EnglishSadao Kurohashi — 1995
• Building a Japanese parsed corpus while improving the parsing systemSadao Kuroashi, Makoto Nagao — 1998
• Kotonoha , the Corpus Development Project of the National Institute for Japanese LanguageK. Maekawa — 2006

Cited by

• The Effect of Corpus Size on Case Frame Acquisition for Discourse AnalysisRyohei Sasano, Daisuke Kawahara, Sadao Kurohashi — 2009
• Bottom-up Named Entity Recognition using Two-stage Machine Learning MethodHirotaka Funayama, Tomohide Shibata, Sadao Kurohashi — 2009
• Coordination Disambiguation without Any SimilaritiesDaisuke Kawahara, Sadao Kurohashi — 2008
• Bypassed Alignment Graphs for Detection and Scope Disambiguation of Japanese Coordinate PhrasesHideharu Okuma, Kazuo Hara, Masashi Shimbo — 2010
• Predicting Conjunct Propagation and Other Extended Stanford DependenciesJenna Nyblom, Samuel Kohonen, Katri Haverinen — 2013
• The Effect of Corpus Size on Case Frame Acquisition for Predicate-Argument Structure AnalysisRyohei Sasano, Daisuke Kawahara, Sadao Kurohashi — 2010
• Statistically-driven Alignment-based Multiword Expression Identification for Technical Domains Re-examining Automatic Keyphrase Extraction Approaches in Scientific Articles Exploiting Translational Correspondences for Pattern-independent Mwe Identification a Re-examination of Lexical Association MeaSteven Bird, G. Hirst — 2009

Related papers

• Multi-Objective Optimization for the Joint Disambiguation of Nouns and Named EntitiesDirk Weissenborn, Leonhard Hennig, Feiyu Xu — 2015
• Modeling disambiguation in word learning via multiple probabilistic constraintsMolly Lewis, Michael C. Frank — 2013
• Research on Methods of Semantic Disambiguation about Natural Language ProcessingGuohuan Lou, Hao Zhang, Wang Honghui — 2009
• Feeding Syntactic Versus Semantic Knowledge to a Knowledge-lean Unsupervised Word Sense Disambiguation Algorithm with an Underlying Naïve Bayes ModelFlorentina Hristea, Mihaela Colhon — 2012
• Word Sense Disambiguation of Adjectives Using Probabilistic NetworksGerald Chao, Michael G. Dyer — 2000