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Seán Slattery: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
    Learning to Extract Symbolic Knowledge from the World Wide Web. [Citation Graph (1, 0)][DBLP]
    AAAI/IAAI, 1998, pp:509-516 [Conf]
  2. Mark Craven, Seán Slattery, Kamal Nigam
    First-Order Learning for Web Mining. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:250-255 [Conf]
  3. Padraig Cunningham, Donal Finn, Seán Slattery
    Knowledge Engineering Requirements in Derivational Analogy. [Citation Graph (0, 0)][DBLP]
    EWCBR, 1993, pp:234-245 [Conf]
  4. Rayid Ghani, Seán Slattery, Yiming Yang
    Hypertext Categorization using Hyperlink Patterns and Meta Data. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:178-185 [Conf]
  5. Seán Slattery, Tom M. Mitchell
    Discovering Test Set Regularities in Relational Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:895-902 [Conf]
  6. Seán Slattery, Mark Craven
    Combining Statistical and Relational Methods for Learning in Hypertext Domains. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:38-52 [Conf]
  7. M. Siegler, Michael J. Witbrock, Seán Slattery, Kristie Seymore, R. E. Jones, Alexander G. Hauptmann
    Experiments in Spoken Document Retrieval at CMU. [Citation Graph (0, 0)][DBLP]
    TREC, 1997, pp:291-302 [Conf]
  8. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
    Learning to construct knowledge bases from the World Wide Web. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:118, n:1-2, pp:69-113 [Journal]
  9. Yiming Yang, Seán Slattery, Rayid Ghani
    A Study of Approaches to Hypertext Categorization. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:219-241 [Journal]
  10. Mark Craven, Seán Slattery
    Relational Learning with Statistical Predicate Invention: Better Models for Hypertext. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:1/2, pp:97-119 [Journal]

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