Dan Roth

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Dan Roth is a person.



  • http://www.cis.upenn.edu/~danroth/
    • QUOTE: My research focuses on the computational foundations of intelligent behavior. We develop theories and systems pertaining to intelligent behavior using a unified methodology -- at the heart of which is the idea that learning has a central role in intelligence.

      My work centers around the study of machine learning and inference methods to facilitate natural language understanding. In doing that I have pursued several interrelated lines of work that span multiple aspects of this problem - from fundamental questions in learning and inference and how they interact, to the study of a range of natural language processing (NLP) problems. Over the last few years the focus of my natural language understanding work has been the development of constrained conditional models -- an integer linear programming formulation for (jointly) learning and supporting global inference. Within this framework we have studied fundamental learning and inference issues -- from learning with indirect supervision to response driven learning to decomposed learning to amortized inference -- and addressed multiple problems in semantics and information extraction. In particular, we developed state of the art solutions and systems for semantic role labeling, co-reference resolutions, and textual entailment as well as named entity recognition, Wikification and other information extraction problems. A lot of my recent work has also emphasized the notion of incidental supervision as a way to get around the inherent difficulty in supervising complex problems. I have also worked on fundamental problems in Natural Language Acquisition, ESL, and Information Trustworthiness. Over the last decade we have also developed a declarative Learning Based Programming language, LBJava, for the rapid development of software systems with learned components; we are currently working on Saul, a next generation Declarative Learning Based Program.










  • (Klementiev & Roth, 2006) ⇒ Alexandre Klementiev, and Dan Roth. (2006). “Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora.” In: Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics (ACL 2006). doi:10.3115/1220175.1220278






  • (Punyakanok & Roth, 2001) ⇒ Vasin Punyakanok, and Dan Roth. (2001). “The Use of Classifiers in Sequential Inference.” In: Proceedings of the 2000 Conference on Advances in Neural Information Processing Systems (NIPS 13).
  • (Roth & Yih, 2001) ⇒ Dan Roth, and Wen-tau Yih. (2001). “Relational Learning via Propositional Algorithms: An information extraction case study.” In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2001).



  • (Roth, 1998) ⇒ Dan Roth. (1998). “Learning to Resolve Natural Language Ambiguities: A unified approach.” In: Proceedings of National Conference on Artificial Intelligence.


  • (Roth, 1996) ⇒ Dan Roth. (1996). “On the Hardness of Approximate Reasoning.” In: Artificial Inteligence, 82(1-2).