Journal Articles
| 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2002 | 2001 | 1999 | 1998 |
| 1997 | 1996 |
Complete Bibfile
- R. de Salvo Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons, An Inference Model for Semantic Entailment in Natural Language. Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, Revised Selected Papers (2006) pp. 261--286 [bibitem]
- O. Mengshoel, D. Roth, and D. Wilkins, Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. Artificial Intelligence (2006) [bibitem]
- S. Agarwal, T. Graepel, R. Herbrich, S. Har-Peled, and D. Roth, Generalization Bounds for the Area Under the ROC Curve. Journal of Machine Learning Research (2005) pp. 393--425 (abstract) [bibitem]
- R. Khardon, D. Roth, and R. Servedio, Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. Journal of Machine Learning Research (2005) pp. 341-356 [bibitem]
- P. Fung and D. Roth, Guest Editors Introduction: Machine Learning in Speech and Language Technologies. Machine Learning (2005) pp. 1-6 [bibitem]
- D. Roth, Learning based Programming. Innovations in Machine Learning: Theory and Applications (2005) [bibitem]
- X. Li, P. Morie, and D. Roth, Semantic Integration in Text: From Ambiguous Names to Identifiable Entities. AI Magazine. Special Issue on Semantic Integration (2005) pp. 45--68 (abstract) [bibitem]
- X. Li and D. Roth, Learning Question Classifiers: The Role of Semantic Information. Journal of Natural Language Engineering (2005) [bibitem]
- V. Punyakanok and D. Roth, Inference with Classifiers: The Phrase Identification Problem. Computational Linguistics (2005) [bibitem]