Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Entity_linking> ?p ?o }
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- Entity_linking abstract "In natural language processing, entity linking, named entity disambiguation (NED), named entity recognition and disambiguation (NERD) or named entity normalization (NEN) is the task of determining the identity of entities mentioned in text. For example, given the sentence \"Paris is the capital of France\", the idea is to determine that \"Paris\" refers to the city of Paris and not to Paris Hilton or any other entity that could be referred as \"Paris\". NED is different from named entity recognition (NER) in that NER identifies the occurrence or mention of a named entity in text but it does not identify which specific entity it is.Entity linking requires a knowledge base containing the entities to which entity mentions can be linked. A popular choice for entity linking on open domain text are knowledge-bases based on Wikipedia, in which each page is regarded as a named entity. NED using Wikipedia entities has been also called wikification (see Wikify! an early entity linking system ). A knowledge base may also be induced automatically from training text or manually built.Named entity mentions can be highly ambiguous, any entity linking method must address this inherent ambiguity. Various approaches to tackle this problem have been tried to date. In the seminal approach of Milne and Witten, supervised learning is employed using the anchor texts of Wikipedia entities as training data. Kulkarni et al. exploited the common property that topically coherent documents refer to entities belonging to strongly related types. Other approaches also collected training data based on unambiguous synonyms. More recent systems for NED include AIDA, AGDISTIS and Babelfy.Entity linking has been used to improve the performance of information retrieval systems and to improve search performance on digital libraries. NED is also a key input for Semantic Search.Entity Linking evaluation campaigns are organized by the U.S. National Institute of Standards and Technology (NIST) in the context of the Knowledge Base Population task of the Text Analysis Conference.".
- Entity_linking wikiPageExternalLink KBP.
- Entity_linking wikiPageExternalLink index.html.
- Entity_linking wikiPageID "38873466".
- Entity_linking wikiPageLength "5548".
- Entity_linking wikiPageOutDegree "18".
- Entity_linking wikiPageRevisionID "699844546".
- Entity_linking wikiPageWikiLink Ambiguity.
- Entity_linking wikiPageWikiLink Anchor_text.
- Entity_linking wikiPageWikiLink Category:Natural_language_processing.
- Entity_linking wikiPageWikiLink Explicit_semantic_analysis.
- Entity_linking wikiPageWikiLink Information_extraction.
- Entity_linking wikiPageWikiLink Information_retrieval.
- Entity_linking wikiPageWikiLink Knowledge_base.
- Entity_linking wikiPageWikiLink Linked_data.
- Entity_linking wikiPageWikiLink Named-entity_recognition.
- Entity_linking wikiPageWikiLink National_Institute_of_Standards_and_Technology.
- Entity_linking wikiPageWikiLink Natural_language_processing.
- Entity_linking wikiPageWikiLink Paris.
- Entity_linking wikiPageWikiLink Paris_Hilton.
- Entity_linking wikiPageWikiLink Record_linkage.
- Entity_linking wikiPageWikiLink Supervised_learning.
- Entity_linking wikiPageWikiLink Test_set.
- Entity_linking wikiPageWikiLink Wikipedia.
- Entity_linking wikiPageWikiLink Word-sense_disambiguation.
- Entity_linking wikiPageWikiLinkText "Entity linking".
- Entity_linking wikiPageWikiLinkText "Named entity disambiguation".
- Entity_linking wikiPageWikiLinkText "cross-linking them to Wikipedia".
- Entity_linking wikiPageWikiLinkText "entity linking".
- Entity_linking wikiPageUsesTemplate Template:Reflist.
- Entity_linking subject Category:Natural_language_processing.
- Entity_linking hypernym Task.
- Entity_linking type Agent.
- Entity_linking type MusicGenre.
- Entity_linking type Application.
- Entity_linking comment "In natural language processing, entity linking, named entity disambiguation (NED), named entity recognition and disambiguation (NERD) or named entity normalization (NEN) is the task of determining the identity of entities mentioned in text. For example, given the sentence \"Paris is the capital of France\", the idea is to determine that \"Paris\" refers to the city of Paris and not to Paris Hilton or any other entity that could be referred as \"Paris\".".
- Entity_linking label "Entity linking".
- Entity_linking sameAs Q17012245.
- Entity_linking sameAs m.0rysr6q.
- Entity_linking sameAs Q17012245.
- Entity_linking wasDerivedFrom Entity_linking?oldid=699844546.
- Entity_linking isPrimaryTopicOf Entity_linking.