@inProceedings{
 title = {Large-Scale Named Entity Disambiguation Based on Wikipedia Data},
 type = {inProceedings},
 year = {2007},
 identifiers = {[object Object]},
 pages = {708-716},
 volume = {2007},
 issue = {June},
 websites = {http://acl.ldc.upenn.edu/D/D07/D07-1074.pdf},
 publisher = {Association for Computational Linguistics},
 editors = {[object Object],[object Object],[object Object],[object Object]},
 id = {e4d62c82-db42-302d-83b8-1cacb7da1d31},
 created = {2012-02-09T21:39:35.000Z},
 file_attached = {true},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 tags = {named entities},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Cucerzan2007},
 private_publication = {false},
 abstract = {This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and Web search results. It describes in detail the disam- biguation paradigm employed and the information extraction process from Wikipedia. Through a process of maximizing the agreement between the contextual information extracted from Wikipedia and the context of a document, as well as the agreement among the category tags associated with the candidate entities, the implemented sys- tem shows high disambiguation accuracy on both news stories and Wikipedia articles.},
 bibtype = {inProceedings},
 author = {Cucerzan, Silviu},
 booktitle = {Computational Linguistics}
}

{"_id":"rgXFA8NHL24Z7bHv9","bibbaseid":"cucerzan-largescalenamedentitydisambiguationbasedonwikipediadata-2007","authorIDs":[],"author_short":["Cucerzan, S."],"bibdata":{"title":"Large-Scale Named Entity Disambiguation Based on Wikipedia Data","type":"inProceedings","year":"2007","identifiers":"[object Object]","pages":"708-716","volume":"2007","issue":"June","websites":"http://acl.ldc.upenn.edu/D/D07/D07-1074.pdf","publisher":"Association for Computational Linguistics","editors":"[object Object],[object Object],[object Object],[object Object]","id":"e4d62c82-db42-302d-83b8-1cacb7da1d31","created":"2012-02-09T21:39:35.000Z","file_attached":"true","profile_id":"5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6","group_id":"066b42c8-f712-3fc3-abb2-225c158d2704","last_modified":"2017-03-14T14:36:19.698Z","tags":"named entities","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Cucerzan2007","private_publication":false,"abstract":"This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and Web search results. It describes in detail the disam- biguation paradigm employed and the information extraction process from Wikipedia. Through a process of maximizing the agreement between the contextual information extracted from Wikipedia and the context of a document, as well as the agreement among the category tags associated with the candidate entities, the implemented sys- tem shows high disambiguation accuracy on both news stories and Wikipedia articles.","bibtype":"inProceedings","author":"Cucerzan, Silviu","booktitle":"Computational Linguistics","bibtex":"@inProceedings{\n title = {Large-Scale Named Entity Disambiguation Based on Wikipedia Data},\n type = {inProceedings},\n year = {2007},\n identifiers = {[object Object]},\n pages = {708-716},\n volume = {2007},\n issue = {June},\n websites = {http://acl.ldc.upenn.edu/D/D07/D07-1074.pdf},\n publisher = {Association for Computational Linguistics},\n editors = {[object Object],[object Object],[object Object],[object Object]},\n id = {e4d62c82-db42-302d-83b8-1cacb7da1d31},\n created = {2012-02-09T21:39:35.000Z},\n file_attached = {true},\n profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},\n group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},\n last_modified = {2017-03-14T14:36:19.698Z},\n tags = {named entities},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Cucerzan2007},\n private_publication = {false},\n abstract = {This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and Web search results. It describes in detail the disam- biguation paradigm employed and the information extraction process from Wikipedia. Through a process of maximizing the agreement between the contextual information extracted from Wikipedia and the context of a document, as well as the agreement among the category tags associated with the candidate entities, the implemented sys- tem shows high disambiguation accuracy on both news stories and Wikipedia articles.},\n bibtype = {inProceedings},\n author = {Cucerzan, Silviu},\n booktitle = {Computational Linguistics}\n}","author_short":["Cucerzan, S."],"urls":{"Paper":"https://bibbase.org/service/mendeley/bfdabac2-d7f2-3c5b-aa7a-06431c0ae35e/file/6c4b94d8-52e0-3f81-6cc4-6d9172d1b3d1/2007-Large-Scale_Named_Entity_Disambiguation_Based_on_Wikipedia_Data.pdf.pdf","Website":"http://acl.ldc.upenn.edu/D/D07/D07-1074.pdf"},"bibbaseid":"cucerzan-largescalenamedentitydisambiguationbasedonwikipediadata-2007","role":"author","downloads":0,"html":""},"bibtype":"inProceedings","creationDate":"2020-02-06T23:48:11.966Z","downloads":0,"keywords":[],"search_terms":["large","scale","named","entity","disambiguation","based","wikipedia","data","cucerzan"],"title":"Large-Scale Named Entity Disambiguation Based on Wikipedia Data","year":2007}