Benchmarking the extraction and disambiguation of named entities on the semantic web

Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Volumn , Issue , 2014, Pages 4593-4600

  Rizzo, Giuseppe ^a   Van Erp, Marieke ^b   Troncy, Raphaël ^c  

^a UNIVERSITY OF TURIN   (Italy)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

^c EURECOM   (France)

Author keywords

Machine learning; Microposts; Named entity linking; Named entity recognition; Newswire

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EXTERNAL RESOURCES; EXTRACTING INFORMATION; KNOWLEDGE BASIS; MICROPOSTS; NAMED ENTITIES; NAMED ENTITY RECOGNITION; NEWSWIRE; STATE OF THE ART;

SEMANTIC WEB;

EID: 84952681526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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