Dependency Tree Kernels for Relation Extraction from Natural Language Text
作者： Frank Reichartz , Hannes Korte , Gerhard Paass
DOI: 10.1007/978-3-642-04174-7_18
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摘要: The automatic extraction of relations from unstructured natural text is challenging but offers practical solutions for many problems like automatic text understanding and semantic retrieval. Relation extraction can be formulated as a classification problem using support vector machines and kernels for structured data that may include parse trees to account for syntactic structure. In this paper we present new tree kernels over dependency parse trees automatically generated from natural language text. Experiments on a public benchmark …
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