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ML92 Proceedings of the ninth international workshop on Machine learning
The justification of logical theories based on data compression
Machine intelligence 13
Integrating Multiple Learning Strategies in First Order Logics
Machine Learning - Special issue on multistrategy learning
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
Automatic construction of semantic lexicons for learning natural language interfaces
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
Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
The Application of Semantic Classification Trees to Natural Language Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Logical Definitions from Relations
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A fully statistical approach to natural language interfaces
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Learning to parse database queries using inductive logic programming
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A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL
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ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
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CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Web Semantics: Science, Services and Agents on the World Wide Web
Extracting relevant questions to an RDF dataset using formal concept analysis
Proceedings of the sixth international conference on Knowledge capture
Learning dependency-based compositional semantics
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Confidence driven unsupervised semantic parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Domain expert centered ontology reuse for conceptual models
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Querying ontologies: a controlled english interface for end-users
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
NLP (natural language processing) for NLP (natural language programming)
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
GINO – a guided input natural language ontology editor
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
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Expert Systems with Applications: An International Journal
Learning dependency-based compositional semantics
Computational Linguistics
Checking feasible completeness of domain models with natural language queries
APCCM '12 Proceedings of the Eighth Asia-Pacific Conference on Conceptual Modelling - Volume 130
Evaluating question answering over linked data
Web Semantics: Science, Services and Agents on the World Wide Web
Learning from natural instructions
Machine Learning
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In this paper, we explored a learning approach which combines different learning methods in inductive logic programming (ILP) to allow a learner to produce more expressive hypotheses than that of each individual learner. Such a learning approach may be useful when the performance of the task depends on solving a large amount of classification problems and each has its own characteristics which may or may not fit a particular learning method. The task of semantic parser acquisition in two different domains was attempted and preliminary results demonstrated that such an approach is promising.