Relationship extraction
From Wikipedia, the free encyclopedia
Relationship extraction is the task of extracting named relationships between entities in text. Semantic role labelling[1] is a closely related task. Extracted relationships between entities can be represented using a variety of formalisms/languages. One such representation language for data on the Web is RDF. Application domains where these relationships are useful include Gene-Disease relationships,[2] Protein-Protein interaction[3] etc.
One approach to this problem involves the use of domain ontologies[4][5].
[edit] See also
[edit] References
- ^ CoNLL-2005 Shared Task: Semantic Role Labeling
- ^ Hong-Woo Chun, Yoshimasa Tsuruoka, Jin-Dong Kim, Rie Shiba, Naoki Nagata, Teruyoshi Hishiki, Jun-ichi Tsujii (2006). "Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning". Pacific Symposium on Biocomputing.
- ^ Minlie Huang and Xiaoyan Zhu and Yu Hao and Donald G. Payan and Kunbin Qu and Ming Li (2004). "Discovering patterns to extract protein-protein interactions from full texts" 20: 3604–3612.
- ^ T.C.Rindflesch and L.Tanabe and J.N.Weinstein and L.Hunter (2000). "EDGAR: Extraction of drugs, genes, and relations from the biomedical literature". Proc. Pacific Symposium on Biocomputing: 514--525.
- ^ C. Ramakrishnan and K. J. Kochut and A. P. Sheth (2006). "A Framework for Schema-Driven Relationship Discovery from Unstructured Text". Proc. International Semantic Web Conference: 583-596.
