Machine Learning, Volume 34, 1999

Volume 34, Numbers 1-3, February 1999

• Claire Cardie, Raymond J. Mooney:
  Guest Editors' Introduction: Machine Learning and Natural Language. 5-9
  
• Walter Daelemans, Antal van den Bosch, Jakub Zavrel:
  Forgetting Exceptions is Harmful in Language Learning. 11-41
  
• Ido Dagan, Lillian Lee, Fernando C. N. Pereira:
  Similarity-Based Models of Word Cooccurrence Probabilities. 43-69
  
• Michael R. Brent:
  An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery. 71-105
  
• Andrew R. Golding, Dan Roth:
  A Winnow-Based Approach to Context-Sensitive Spelling Correction. 107-130
  
• Masahiko Haruno, Satoshi Shirai, Yoshifumi Ooyama:
  Using Decision Trees to Construct a Practical Parser. 131-149
  
• Adwait Ratnaparkhi:
  Learning to Parse Natural Language with Maximum Entropy Models. 151-175
  
• Doug Beeferman, Adam L. Berger, John D. Lafferty:
  Statistical Models for Text Segmentation. 177-210
  
• Daniel M. Bikel, Richard M. Schwartz, Ralph M. Weischedel:
  An Algorithm that Learns What's in a Name. 211-231
  
• Stephen Soderland:
  Learning Information Extraction Rules for Semi-Structured and Free Text. 233-272
  

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