Guest Editors' Introduction: Machine Learning and Natural Language Claire CardieRaymond J. Mooney OriginalPaper Pages: 5 - 9
Forgetting Exceptions is Harmful in Language Learning Walter DaelemansAntal Van Den BoschJakub Zavrel OriginalPaper Pages: 11 - 41
Similarity-Based Models of Word Cooccurrence Probabilities Ido DaganLillian LeeFernando C. N. Pereira OriginalPaper Pages: 43 - 69
An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery Michael R. Brent OriginalPaper Pages: 71 - 105
A Winnow-Based Approach to Context-Sensitive Spelling Correction Andrew R. GoldingDan Roth OriginalPaper Pages: 107 - 130
Using Decision Trees to Construct a Practical Parser Masahiko HarunoSatoshi ShiraiYoshifumi Ooyama OriginalPaper Pages: 131 - 149
Learning to Parse Natural Language with Maximum Entropy Models Adwait Ratnaparkhi OriginalPaper Pages: 151 - 175
Statistical Models for Text Segmentation Doug BeefermanAdam BergerJohn Lafferty OriginalPaper Pages: 177 - 210
An Algorithm that Learns What's in a Name Daniel M. BikelRichard SchwartzRalph M. Weischedel OriginalPaper Pages: 211 - 231
Learning Information Extraction Rules for Semi-Structured and Free Text Stephen Soderland OriginalPaper Pages: 233 - 272
