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• W2265536205 abstract "Relation extraction is a key step to address the problem of structuring natural language text. This paper proposes a new ontology class hierarchy feature to improve relation extraction when applying a method based on the distant supervision approach. It argues in favour of the expressiveness of the feature, in multi-class perceptrons, by experimentally showing its effectiveness when compared with combinations of (regular) lexical features." @default.
• W2265536205 created "2016-06-24" @default.
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• W2265536205 date "2015-01-01" @default.
• W2265536205 modified "2023-09-27" @default.
• W2265536205 title "Improving Relation Extraction by Using an Ontology Class Hierarchy Feature" @default.
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• W2265536205 doi "https://doi.org/10.1007/978-3-319-26187-4_20" @default.
• W2265536205 hasPublicationYear "2015" @default.
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