Dan Roth (roth-d)

Contributions to Philosophie.ch

Bibliography

Cumby, Chad and Roth, Dan. 2000. “Relational Representations that Facilitate Learning.” in KR’00: Principles of Knowledge Representation and Reasoning, edited by Anthony G. Cohn, Fausto Giunchiglia, and Bart Selman, pp. 425–434. San Francisco, California: Morgan Kaufmann Publishers.
Dagan, Ido, Kerov, Yale and Roth, Dan. 1997. “Mistake-Driven Learning in Text Categorization.” in Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, edited by Claire Cardie and Ralph M. Weischedel, pp. 55–63. Somerset, New Jersey: Association for Computational Linguistics.
Greiner, Russell, Grove, Adam J. and Roth, Dan. 2002. “Learning Cost-Sensitive Active Classifiers.” Artificial Intelligence 139(2): 137–174.
Khardon, Roni and Roth, Dan. 1995. “Default-Reasoning with Models.” in IJCAI-95. Proceedings of the 14th International Joint Conference on Artificial Intelligence, edited by Christopher S. Mellish and C. Raymond Perrault, pp. 319–325. San Francisco, California: Morgan Kaufmann Publishers.
Khardon, Roni and Roth, Dan. 1996. “Reasoning with Models.” Artificial Intelligence 87(1–2): 187–213.
Khardon, Roni and Roth, Dan. 1997. “Defaults and Relevance in Model-Based Reasoning.” Artificial Intelligence 97(1–2): 169–193.
Krymolowski, Yuval and Roth, Dan. 1998. “Incorporating Knowledge in Natural Language Learning: A Case Study.” in Use of WordNet in Natural Language Processing Systems: Proceedings of the Conference, edited by Sandra M. Harabagiu, pp. 121–127. Somerset, New Jersey: Association for Computational Linguistics.
Li, Xin, Morie, Paul and Roth, Dan. 2005. “Semantic Integration in Text: From Ambiguous Names to Identifiable Entities.” The AI Magazine 26(1): 45–58.
Punyakanok, Vasin and Roth, Dan. 2000. “Shallow Parsing by Inferencing with Classifiers.” in Proceedings of the Fourth Conference on Computational Natural Language Learning and of the Second Learning Language in Logic Workshop, Lisbon, 2000, edited by Claire Cardie, Walter Daelemans, Claire Nédellec, and Erik Tjong Kim Sang, pp. 107–110. Somerset, New Jersey: Association for Computational Linguistics.
Roth, Dan. 1996. “On the Hardness of Approximate Reasoning.” Artificial Intelligence 82(1–2): 273–302.