Relational learning of pattern-match rules for information extraction
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An introduction to inductive logic programming and learning language in logic
Learning language in logic
A closer look at the automatic induction of linguistic knowledge
Learning language in logic
Achievements and prospects of learning word morphology with inductive logic programming
Learning language in logic
Grammar induction as substructural inductive logic programming
Learning language in logic
ILP in part-of-speech tagging — an overview
Learning language in logic
DCG induction using MDL and parsed corpora
Learning language in logic
Learning log-linear models on constraint-based grammars for disambiguation
Learning language in logic
Induction of recursive transfer rules
Learning language in logic
Corpus-based learning of semantic relations by the ILP system, Asium
Learning language in logic
Improving learning by choosing examples intelligently in two natural language tasks
Learning language in logic
Parameter Estimation in Stochastic Logic Programs
Machine Learning
Comparative results on using inductive logic programming for corpus-based parser construction
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Stochastic Logic Programs: Sampling, Inference and Applications
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Stochastic attribute-value grammars
Computational Linguistics
An Investigation of the Laws of Thought
An Investigation of the Laws of Thought
Incorporating linguistics constraints into inductive logic programming
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Relational learning for spatial relation extraction from natural language
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
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Selected issues concerning the use of logical representations in machine learning of natural language are discussed. It is argued that the flexibility and expressivity of logical representations are particularly useful in more complex natural language learning tasks. A number of inductive logic programming (ILP) techniques for natural language are analysed including the CHILL system, abduction and the incorporation of linguistic knowledge, including active learning. Hybrid approaches integrating ILP with manual development environments and probabilistic techniques are advocated.