1. Guest Editors' Introduction: Machine Learning and Natural Language

   • Claire Cardie
   • Raymond J. Mooney

   OriginalPaper Pages: 5 - 9

2. Forgetting Exceptions is Harmful in Language Learning

   • Walter Daelemans
   • Antal Van Den Bosch
   • Jakub Zavrel

   OriginalPaper Pages: 11 - 41

3. Similarity-Based Models of Word Cooccurrence Probabilities

   • Ido Dagan
   • Lillian Lee
   • Fernando C. N. Pereira

   OriginalPaper Pages: 43 - 69

4. An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery

   • Michael R. Brent

   OriginalPaper Pages: 71 - 105

5. A Winnow-Based Approach to Context-Sensitive Spelling Correction

   • Andrew R. Golding
   • Dan Roth

   OriginalPaper Pages: 107 - 130

6. Using Decision Trees to Construct a Practical Parser

   • Masahiko Haruno
   • Satoshi Shirai
   • Yoshifumi Ooyama

   OriginalPaper Pages: 131 - 149

7. Learning to Parse Natural Language with Maximum Entropy Models

   • Adwait Ratnaparkhi

   OriginalPaper Pages: 151 - 175

8. Statistical Models for Text Segmentation

   • Doug Beeferman
   • Adam Berger
   • John Lafferty

   OriginalPaper Pages: 177 - 210

9. An Algorithm that Learns What's in a Name

   • Daniel M. Bikel
   • Richard Schwartz
   • Ralph M. Weischedel

   OriginalPaper Pages: 211 - 231

10. Learning Information Extraction Rules for Semi-Structured and Free Text

    • Stephen Soderland

    OriginalPaper Pages: 233 - 272