2005 ShallowSemanticsForRelExtraction

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Subject Headings: Relation Detection from Text Algorithm, Shallow Semantic Analysis Task, ACE Benchmark Task, SVMlight

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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.


References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2005 ShallowSemanticsForRelExtractionSanda M. Harabagiu
Cosmin Adrian Bejan
Paul Morarescu
Shallow Semantics for Relation Extractionhttp://www.ijcai.org/papers/1589.pdf