On learning the past tenses of English verbs
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Regular models of phonological rule systems
Computational Linguistics - Special issue on computational phonology
Machine Learning
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Learning Logical Definitions from Relations
Machine Learning
Induction of Slovene Nominal Paradigms
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Part-of-Speech Tagging Using Progol
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Learning Multilingual Morphology with CLOG
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Advances in ILP Theory and Implementations (Abstract)
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Repeat Learning Using Predicate Invention
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
A Hybrid Approach t Word Segmentation
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Automatic rule induction for unknown-word guessing
Computational Linguistics
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Course In General Linguistics
Learning the past tense of English verbs: the symbolic pattern associator vs. connectionist models
Journal of Artificial Intelligence Research
Induction of first-order decision lists: results on learning the past tense of English verbs
Journal of Artificial Intelligence Research
Issues in Learning Language in Logic
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
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This article presents an overview of existing ILP and non-ILP approaches to word morphology learning, and sets targets for future research. The article claims that new challenges to the ILP community with more appeal to computational linguists should be sought in a whole new range of unexplored learning tasks in which ILP would have to make a more extensive use of relevant linguistic knowledge, and be more closely integrated with other learning techniques for data preprocessing.