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Front matter |
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Using Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy Gertjan van Noord |
pp. 1–10 |
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Evaluating Impact of Re-training a Lexical Disambiguation Model on Domain Adaptation of an HPSG Parser Tadayoshi Hara, Yusuke Miyao and Jun’ichi Tsujii |
pp. 11–22 |
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Semi-supervised Training of a Statistical Parser from Unlabeled Partially-bracketed Data Rebecca Watson, Ted Briscoe and John Carroll |
pp. 23–32 |
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Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training Jennifer Foster, Joachim Wagner, Djamé Seddah and Josef van Genabith |
pp. 33–35 |
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The Impact of Deep Linguistic Processing on Parsing Technology Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy Holloway King and Gertjan van Noord |
pp. 36–38 |
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Improving the Efficiency of a Wide-Coverage CCG Parser Bojan Djordjevic, James Curran and Stephen Clark |
pp. 39–47 |
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Efficiency in Unification-Based N-Best Parsing Yi Zhang, Stephan Oepen and John Carroll |
pp. 48–59 |
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A log-linear model with an n-gram reference distribution for accurate HPSG parsing Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao and Jun’ichi Tsujii |
pp. 60–68 |
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Ambiguity Resolution by Reordering Rules in Text Containing Errors Sylvana Sofkova Hashemi |
pp. 69–79 |
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Nbest Dependency Parsing with linguistically rich models Xiaodong Shi |
pp. 80–82 |
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Symbolic Preference Using Simple Scoring Paula Newman |
pp. 83–92 |
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Synchronous Grammars and Transducers: Good News and Bad News Stuart Shieber |
pp. 93–93 |
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Are Very Large Context-Free Grammars Tractable? Pierre Boullier and Benoit Sagot |
pp. 94–105 |
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Pomset mcfgs Michael Pan |
pp. 106–108 |
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Modular and Efficient Top-Down Parsing for Ambiguous Left-Recursive Grammars Richard Frost, Rahmatullah Hafiz and Paul Callaghan |
pp. 109–120 |
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On the Complexity of Non-Projective Data-Driven Dependency Parsing Ryan McDonald and Giorgio Satta |
pp. 121–132 |
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Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information Massimiliano Ciaramita and Giuseppe Attardi |
pp. 133–143 |
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A Latent Variable Model for Generative Dependency Parsing Ivan Titov and James Henderson |
pp. 144–155 |
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Three-Dimensional Parametrization for Parsing Morphologically Rich Languages Reut Tsarfaty and Khalil Sima’an |
pp. 156–167 |
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Data-Driven Dependency Parsing across Languages and Domains: Perspectives from the CoNLL-2007 Shared task Joakim Nivre |
pp. 168–170 |
Last modified on May 24, 2007, 11:42 a.m.