default search action
IWPT 2007: Prague, Czech Republic
- Paola Merlo, Harry Bunt, Alon Lavie:
Proceedings of the Tenth International Conference on Parsing Technologies, IWPT 2007, Prague, Czech Republic, June 23-24, 2007. Association for Computational Linguistics 2007 - Gertjan van Noord:
Using Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy. 1-10 - Tadayoshi Hara, Yusuke Miyao, Jun'ichi Tsujii:
Evaluating Impact of Re-training a Lexical Disambiguation Model on Domain Adaptation of an HPSG Parser. 11-22 - Rebecca Watson, Ted Briscoe, John Carroll:
Semi-supervised Training of a Statistical Parser from Unlabeled Partially-bracketed Data. 23-32 - Jennifer Foster, Joachim Wagner, Djamé Seddah, Josef van Genabith:
Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training. 33-35 - Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy Holloway King, Gertjan van Noord:
The Impact of Deep Linguistic Processing on Parsing Technology. 36-38 - Bojan Djordjevic, James R. Curran, Stephen Clark:
Improving the Efficiency of a Wide-Coverage CCG Parser. 39-47 - Yi Zhang, Stephan Oepen, John Carroll:
Efficiency in Unification-Based N-Best Parsing. 48-59 - Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii:
A log-linear model with an n-gram reference distribution for accurate HPSG parsing. 60-68 - Sylvana Sofkova Hashemi:
Ambiguity Resolution by Reordering Rules in Text Containing Errors. 69-79 - Xiaodong Shi:
Nbest Dependency Parsing with linguistically rich models. 80-82 - Paula S. Newman:
Symbolic Preference Using Simple Scoring. 83-92 - Stuart M. Shieber:
Synchronous Grammars and Transducers: Good News and Bad News. 93 - Pierre Boullier, Benoît Sagot:
Are Very Large Context-Free Grammars Tractable? 94-105 - Michael Pan:
Pomset mcfgs. 106-108 - Richard A. Frost, Rahmatullah Hafiz, Paul Callaghan:
Modular and Efficient Top-Down Parsing for Ambiguous Left-Recursive Grammars. 109-120 - Ryan T. McDonald, Giorgio Satta:
On the Complexity of Non-Projective Data-Driven Dependency Parsing. 121-132 - Massimiliano Ciaramita, Giuseppe Attardi:
Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information. 133-143 - Ivan Titov, James Henderson:
A Latent Variable Model for Generative Dependency Parsing. 144-155 - Reut Tsarfaty, Khalil Sima'an:
Three-Dimensional Parametrization for Parsing Morphologically Rich Languages. 156-167 - Joakim Nivre:
Data-Driven Dependency Parsing across Languages and Domains: Perspectives from the CoNLL-2007 Shared task. 168-170
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.