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Home / Proceedings / AAAI Workshop Papers 1998 /

Learning for Text Categorization: Papers from the 1998 AAAI Workshop

Contents

  • Preface

    Mehran Sahami

    1

    PDF
  • Style-based Text Categorization: What Newspaper Am I Reading?

    Shlomo Argamon-Engelson, Moshe Koppel, Galit Avneri

    1

    PDF
  • A Case Study in Using Linguistic Phrases for Text Categorization on the WWW

    Johannes Fuernkranz, Tom Mitchell, Ellen Riloff

    5

    PDF
  • Automated Concept Extraction from Plain Text

    Boris Gelfand, Marilyn Wulfekuler, and William F. Punch III

    13

    PDF
  • A Redundant Covering Algorithm Applied to Text Classification

    David Hsu, Oren Etzioni, Stephen Soderland

    18

    PDF
  • Learning Complex Patterns for Document Categorization

    Markus Junker, Andreas Abecker

    26

    PDF
  • Adaptive Information Filtering: Learning in the Presence of Concept Drifts

    Ralf Klinkenberg, Ingrid Renz

    33

    PDF
  • A Comparison of Event Models for Naive Bayes Text Classification

    Andrew McCallum, Kamal Nigam

    41

    PDF
  • Book Recommending Using Text Categorization with Extracted Information

    Raymond J. Mooney, Paul N. Bennett, Loriene Roy

    49

    PDF
  • A Bayesian Approach to Filtering Junk E-Mail

    Mehran Sahami, Susan Dumais, David Heckerman, Eric Horvitz

    55

    PDF
  • Intelligent Agents for Web-based Tasks: An Advice-Taking Approach

    63

    PDF

Poster Spotlights

  • How Machine Learning Can Be Beneficial for Textual Case-Based Reasoning

    Stefanie Brueninghaus, Kevin D. Ashley

    71

    PDF
  • Learning for Question Answering and Text Classification: Integrating Knowledge-Based and Statistical Techniques

    Jay Budzik, Kristian J. Hammond

    75

    PDF
  • Classifying Text Documents using Modular Categories and Linguistically Motivated Indicators

    Eleazar Eskin, Matt Bogosian

    79

    PDF
  • Learning Preference Relations for Information Retrieval

    Ralf Herbirch, Thore Graepel, Peter Bollmann-Sdorra, and Klaus Obermayer

    83

    PDF
  • Some Issues in the Automatic Classification of U.S. Patents

    Leah S. Larkey

    87

    PDF
  • Active Learning with Committees in Text Categorization: Preliminary Results in Comparing Winnow and Perceptron

    Ray Liere, Prasad Tadepalli

    91

    PDF
  • SpamCop: A Spam Classification & Organization Program

    Patrick Pantel, Dekang Lin

    95

    PDF
  • A Multi-Agent System for Generating a Personalized Newspaper Digest

    Georg Veltmann

    99

    PDF

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