Data-Oriented Parsing

1. A DOP model for phrase-structure trees R. Bod and R. Scha 2. Probability models for DOP R. Bonnema 3. Encoding frequency information in stochastic parsing models 1. Computational complexity of disambiguation under DOP K. Sima'an 2. Parsing DOP with Monte Carlo techniques J. Chappelier and M. Rajman 3. Towards efficient Monte Carlo parsing R. Bonnema 4. Efficient parsing of DOP with PCFG-reductions J. Goodman 5. An approximation of DOP through memory-based learning G. de Pauw 6. Compositional partial parsing by memory-based sequence learning I. Dagan and Y. Krymolowsky 1. A head-driven data-oriented approach to lexical dependency K. Sima'an 2. A DOP model for Lexical-Functional Grammar representations R. Bod and R. Kaplan 3. A data-driven approach to Head-driven Phrase-Structure Grammar G. Neumann 4. Tree-Adjoining Grammars and its application to statistical parsing A. Joshi and A. Sarkar 5. Extending DOP with adjunction L. Hoogweg 6. Statistical parsing with an automatically extracted Tree-Adjoining Grammar D. Chiang 7. Localizing dependencies and supertagging S. Bangalore