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• W120708848 abstract "Entity Linking is the task of mapping a string in a document to its entity in a knowledge base. One of the crucial tasks is to identify disambiguating context; joint assignment models leverage the relationships within the knowledge base. We demonstrate how joint assignment models can be approximated with information retrieval. We introduce the neighborhood relevance model which uses relevance feedback techniques to identify the salience of entity context using cross-document evidence. We show that this model is more effective than local document models for ranking KB entities. Experiments on the TAC KBP entity linking task demonstrate that our model is the best performing system for strings that are linkable to the knowledge base." @default.
• W120708848 created "2016-06-24" @default.
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• W120708848 date "2013-05-15" @default.
• W120708848 modified "2023-09-23" @default.
• W120708848 title "A neighborhood relevance model for entity linking" @default.
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• W120708848 doi "https://doi.org/10.5555/2491748.2491781" @default.
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