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- W4297889971 abstract "Concept hierarchy is the backbone of ontology, and the concept hierarchy acquisition has been a hot topic in the field of ontology learning. this paper proposes a hyponymy extraction method of domain ontology concept based on cascaded conditional random field(CCRFs) and hierarchy clustering. It takes free text as extracting object, adopts CCRFs identifying the domain concepts. First the low layer of CCRFs is used to identify simple domain concept, then the results are sent to the high layer, in which the nesting concepts are recognized. Next we adopt hierarchy clustering to identify the hyponymy relation between domain ontology concepts. The experimental results demonstrate the proposed method is efficient." @default.
- W4297889971 created "2022-10-01" @default.
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- W4297889971 date "2015-08-06" @default.
- W4297889971 modified "2023-09-26" @default.
- W4297889971 title "Hyponymy extraction of domain ontology concept based on ccrfs and hierarchy clustering" @default.
- W4297889971 doi "https://doi.org/10.48550/arxiv.1508.01476" @default.
- W4297889971 hasPublicationYear "2015" @default.
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