Logic for problem-solving
Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
On learning the past tenses of English verbs
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Artificial Intelligence - Special volume on natural language processing
Bayesian inductive logic programming
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Applications of inductive logic programming
Communications of the ACM
Theories for mutagenicity: a study in first-order and feature-based induction
Artificial Intelligence - Special volume on empirical methods
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Comparative results on using inductive logic programming for corpus-based parser construction
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Inductive Logic Programming for Natural Language Processing
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Induction of Slovene Nominal Paradigms
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Carcinogenesis Predictions Using ILP
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
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
Which Hypotheses Can Be Found with Inverse Entailment?
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Generalized probabilistic LR parsing of natural language (Corpora) with unification-based grammars
Computational Linguistics - Special issue on using large corpora: I
Compacting the Penn Treebank grammar
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Statistical decision-tree models for parsing
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Induction of first-order decision lists: results on learning the past tense of English verbs
Journal of Artificial Intelligence Research
Learning to parse database queries using inductive logic programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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The last three decades has seen the development of Computational Logic techniques within Artificial Intelligence. This has led to the development of the subject of Logic Programming (LP), which can be viewed as a key part of Logic-Based Artificial Intelligence. The subtopic of LP concerned with Machine Learning is known as "Inductive Logic Programming" (ILP), which again can be broadened to Logic-Based Machine Learning by dropping Horn clause restrictions. ILP has its roots in the ground-breaking research of Gordon Plotkin and Ehud Shapiro. This paper provides a brief survey of the state of ILP applications, theory and techniques.