- Entity Network Extraction based on Association Finding and Relation Extraction
- Lecture Notes in Computer Science
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
One of the core aims of semantic search is to directly present users with information instead of lists of documents. Various entity-oriented tasks have been or are being considered, including entity search and related entity finding. In the context of digital libraries for computational humanities, we consider another task, network extraction: given an input entity and a document collection, extract related entities from the collection and present them as a network. We develop a combined approach for entity network extraction that consists of a co-occurrence-based approach to association finding and a machine learning-based approach to relation extraction. We evaluate our approach by comparing the results on a ground truth obtained using a pooling method.
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- Proceedings title: Research and advanced technology for digital libraries: International Conference on Theory and Practice
of Digital Libraries, TPDL 2013, Valletta, Malta, September 22-26, 2013: proceedings
Place of publication: Heidelberg
Editors: T. Aalberg, C. Papatheodorou, M. Dobreva, G. Tsakonas, C.J. Farrugia
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