W15-1704 during each iteration automated machine annotation is performed followed by manual
C02-1083 differences between human and machine annotations ( see figure 5 ) . Interval operations
W04-1213 test of the limits of human and machine annotation capability . For the shared task
W14-2513 correct more false positives in the machine annotations . For future work , we plan to
W12-0105 future we plan to develop automatic machine annotations for video sequences and compare
W15-1704 the initial iteration automated machine annotations are produced using a gazetteer
W05-0310 semantically rich , human-aided machine annotation system created within the Ontological
W14-3109 correct an acceptable number of machine annotations that are most likely to increase
W14-2513 pick the most " prof - itable " machine annotations to be corrected by human annotators
W14-3109 different sampling strategies of machine annotations presented to human annotators
W15-1704 model . Manual correction of the machine annotations involves : ( 1 ) removing incorrect
W14-2513 and will evolve and improve as machine annotations that are verified by human annotators
W14-2513 have human annotators correct machine annotations in order to produce more examples
N13-1088 scenarios to compare human and machine annotation processes . An eye movement experiment
W14-3109 , and how the sample sizes of machine annotations affect ML perfor - mance . Also
W14-3109 known about the optimal number of machine annotations to be presented to human annotators
W05-0310 Semantically Rich Human-Aided Machine Annotation </title> Marjorie McShane Sergei
W05-0310 semantically rich , human-aided machine annotation ( HAMA ) , implemented in the
W05-0310 operation of the human - assisted machine annotation approach is enhancement of the
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