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ORCIDTrends in Parsing Technology 2010
- Harry Bunt, Paola Merlo, Joakim Nivre:
Trends in Parsing Technology, Dependency Parsing, Domain Adaptation, and Deep Parsing. Springer 2010, ISBN 978-90-481-9351-6 - Paola Merlo, Harry Bunt, Joakim Nivre:
Current Trends in Parsing Technology. 1-17 - Johan Hall, Jens Nilsson, Joakim Nivre:
Single Malt or Blended? A Study in Multilingual Parser Optimization. 19-33 - Ivan Titov, James Henderson:
A Latent Variable Model for Generative Dependency Parsing. 35-55 - Kenji Sagae, Jun'ichi Tsujii:
Dependency Parsing and Domain Adaptation with Data-Driven LR Models and Parser Ensembles. 57-68 - Tetsuji Nakagawa:
Dependency Parsing Using Global Features. 69-86 - Massimiliano Ciaramita, Giuseppe Attardi:
Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information. 87-104 - Qin Iris Wang, Dale Schuurmans, Dekang Lin:
Strictly Lexicalised Dependency Parsing. 105-120 - Jason Eisner, Noah A. Smith:
Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length. 121-150 - Keith B. Hall, Václav Novák:
Corrective Dependency Parsing. 151-167 - Detlef Prescher:
Inducing Lexicalised PCFGs with Latent Heads. 169-182 - Gertjan van Noord:
Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy. 183-200 - Pierre Boullier, Benoît Sagot:
Are Very Large Context-Free Grammars Tractable? 201-222 - Yi Zhang, Stephan Oepen, John Carroll:
Efficiency in Unification-Based N-Best Parsing. 223-241 - Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
HPSG Parsing with a Supertagger. 243-256 - Tadayoshi Hara, Yusuke Miyao, Jun'ichi Tsujii:
Evaluating the Impact of Re-training a Lexical Disambiguation Model on Domain Adaptation of an HPSG Parser. 257-275 - Rebecca Watson, Ted Briscoe, John Carroll:
Semi-supervised Training of a Statistical Parser from Unlabeled Partially-Bracketed Data. 277-291
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