William W. Cohen's Papers: Rule Learning

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  1. William Yang Wang, Kathryn Mazaitis, and William W. Cohen (2014): Structure Learning via Parameter Learning in CIKM-2014.
  2. William W. Cohen, Matthew Hurst & Lee S. Jensen (2003): A Flexible Learning System for Wrapping Tables and Lists in HTML Documents in Web Document Analysis: Challenges and Opportunities, ed. Antonacopoulos & Hu, Word Scientific Publishing. (Originally published as: William W. Cohen, Matthew Hurst & Lee S. Jensen (2002): A Flexible Learning System for Wrapping Tables and Lists in HTML Documents in WWW 2002: 232-241; Lee S. Jensen & William W. Cohen (2001): A Structured Wrapper Induction System for Extracting Information from Semi-Structured Documents in Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining).
  3. William W. Cohen and Yoram Singer (1999): Simple, Fast, and Effective Rule Learner in AAAI/IAAI 1999: 335-342.
  4. William W. Cohen & Yoram Singer (1999): Context-sensitive learning methods for text categorization in ACM Trans. Inf. Syst. 17(2): 141-173 (1999). (Originally published as: William W. Cohen and Yoram Singer (1996): Context-sensitive learning methods for text categorization in SIGIR 1996: 307-315).
  5. William W. Cohen and Daniel Kudenko (1997): Transferring and Retraining Learned Information Filters in AAAI/IAAI 1997: 583-590.
  6. William W. Cohen (1996): Learning Trees and Rules with Set-valued Features in AAAI/IAAI, Vol. 1 1996: 709-716.
  7. William W. Cohen (1996): Learning Rules that Classify E-Mail in AAAI Spring Symposium on ML and IR 1996.
  8. William W. Cohen and Yoram Singer (1996): Learning to Query the Web in AAAI Workshop on Internet-Based Information Access Systems 1996.
  9. William W. Cohen (1995): Fast effective rule induction in ICML 1995: 115-123.
  10. William W. Cohen (1993): Efficient pruning methods for separate-and-conquer rule learning systems in IJCAI 1993: 988-994.

[Selected papers| By topic: Matching/Data Integration| Text Categorization| Topic Modeling| Rule Learning| Explanation-Based Learning| Formal Results| Inductive Logic Programming| Information Extraction| Collaborative Filtering| Applications| Intelligent Tutoring| Learning in Graphs| By year: All papers]