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Exploiting Linked Data for Open and Configurable Named Entity Extraction
2015
International journal on artificial intelligence tools
Named Entity Extraction (NEE) is the process of identifying entities in texts and, very commonly, linking them to related (Web) resources. This task is useful in several applications, e.g. for question answering, annotating documents, post-processing of search results, etc. However, existing NEE tools lack an open or easy configuration although this is very important for building domain-specific applications. For example, supporting a new category of entities, or specifying how to link the
doi:10.1142/s0218213015400126
fatcat:cml5esjoybd2lgknlm3icilbfi