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- 219 creator jan-dedek.
- 219 type InProceedings.
- 219 label "Towards Semantic Annotation Supported by Dependency Linguistics and ILP".
- 219 sameAs 219.
- 219 abstract "In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA and ILP have following benefits: Manual selection of learning features is not needed. The learning procedure has full available linguistic information at its disposal and it is capable to select relevant parts itself. Learned extraction rules can be easily visualized, understood and adapted by human. A description, implementation and initial evaluation of the method are the main contributions of the paper.".
- 219 hasAuthorList authorList.
- 219 isPartOf proceedings.
- 219 keyword "dependency linguistics".
- 219 keyword "inductive logic programming".
- 219 keyword "information extraction".
- 219 keyword "machine learning".
- 219 keyword "semantic annotation".
- 219 keyword "semantic web".
- 219 title "Towards Semantic Annotation Supported by Dependency Linguistics and ILP".