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Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing - Softcover

 
9789048193530: Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing

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Current Trends in Parsing Technology, Paola Merlo, Harry Bunt and Joakim Nivre Single Malt or Blended? A Study in Multilingual Parser Optimization, Johan Hall, Jens Nilsson and Joakim Nivre A Latent Variable Model for Generative Dependency Parsing, Ivan Titov and James Henderson Dependency Parsing and Domain Adaption with Data-Driven LR Models and Parser Ensembles, Kenji Sagae and Jun'ichi Tsujii Dependency Parsing Using Global Features, Tetsuji Nakagawa Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information, Massimiliano Ciaramita and Guiseppe Attardi Strictly Lexicalised Dependency Parsing, Qin Iris Wang, Dale Schuurmans and Dekang Lin Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length, Jason Eisner and Noah A. Smith Corrective Dependency Parsing, Keith Hall and Václav Novák Inducing Lexicalised PCFGs with Latent Heads, Detlef Prescher Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy, Gertjan van Noord Are Very Large Context-Free Grammars Tractable? Pierre Boullier and Benoît Sagot Efficiency in Unification-Based N-Best Parsing, Yi Zhang, Stephan Oepen and John Carroll HPSG Parsing with a Supertagger, Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Yoshimasa Tsuruoka and Jun'ichi Tsujii Evaluating the Impact of Re-training a Lexical Disambiguation Model on Domain Adaption of an HPSG Parser, Tadayoshi Hara, Yusuke Miyao and Jun'ichi Tsujii Semi-supervised Training of a Statistical Parser from Unlabeled Partially-bracketed Data, Rebecca Watson, Ted Briscoe and John Carroll Index

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9789048193516: Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing (Text, Speech and Language Technology, 43, Band 43)

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ISBN 10:  9048193516 ISBN 13:  9789048193516
Verlag: Springer, 2010
Hardcover