Volume 34,
Numbers 1-3,
February 1999
Machine Learning and Natural Language
- 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
Copyright © Mon Nov 2 21:48:05 2009
by Michael Ley (ley@uni-trier.de)
