A novel approach for entity resolution in scientific documents using context graphs

Changqin Huang

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Jia Zhu

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Xiaodi Huang

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Min Yang (杨敏)

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Gabriel Pui Cheong Fung

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Qintai Hu

Information Sciences, pp. 431-441, 2018.

Cited by: 5|Views17

Keywords:

Feature selectionEntity resolutionContext-based graphsSupport vector machines

Abstract:

Entity resolution refers to disambiguating and resolving entities in structured and unstructured data. Developments of effective resolution algorithms are significant for processing scientific documents, particularly for biomedical literature. Specifically, name ambiguity among biomedical entities is a primary task that needs to be solved...More

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