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Volumn , Issue , 2010, Pages 180-183

Preliminary experience with Amazon's Mechanical Turk for annotating medical named entities

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON'S MECHANICAL TURKS; CLINICAL TRIAL; DOMAIN EXPERTS; ENTITY-TYPES; GOLD STANDARDS; LABORATORY TEST; MECHANICAL TURKS; MEDICAL CONDITIONS; MEDICAL LABORATORIES; NAMED ENTITIES;

EID: 84877354135     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (7)
  • 1
    • 80053402398 scopus 로고    scopus 로고
    • Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk
    • Chris Callison-Burch. 2009. Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. In Proceedings of EMNLP'09.
    • (2009) Proceedings of EMNLP'09
    • Callison-Burch, Chris1
  • 5
    • 85119978248 scopus 로고    scopus 로고
    • Knowtator: a protégé plug-in for annotated corpus construction
    • Philip V. Ogren. 2006. Knowtator: a protégé plug-in for annotated corpus construction. In Proceedings NAACL HLT'06, 273-275.
    • (2006) Proceedings NAACL HLT'06 , pp. 273-275
    • Ogren, Philip V.1
  • 6
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
    • Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. 2008. Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks. In Proceedings of EMNLP'08, 254-263.
    • (2008) Proceedings of EMNLP'08 , pp. 254-263
    • Snow, Rion1    O'Connor, Brendan2    Jurafsky, Daniel3    Ng, Andrew Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.