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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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