Shallow semantics for relation extraction

Authors:
Sanda Harabagiu;Cosmin Adrian Bejan;Paul Morarescu
Affiliations:
Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX;Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX;Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

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Abstract

This paper presents a new method for extracting meaningful relations from unstructured natural language sources. The method is based on information made available by shallow semantic parsers. Semantic information was used (1) to enhance a dependency tree kernel; and (2) to build semantic dependency structures used for enhanced relation extraction for several semantic classifiers. In our experiments the quality of the extracted relations surpassed the results of kernel-based models employing only semantic class information.