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- W2489277592 abstract "For the named entity detection, the different evaluation metrics are precision, recall and their harmonic mean, i.e. the F-measure. The F-measure itself was initially proposed to simplify the comparative evaluation of different systems. It is easier to compare multiple systems using a single value than using two values. Other metrics, based on error rates, have been proposed to allow error weighting, such as entity error rate (ERR), which was rapidly replaced by SER due to problems associated with the use of different denominators for different systems. However, while the latter metric does respond to a number of issues, it is unable to take account of more complex entity structures. More recently, a new metric, entity tree error rate (ETER), has been proposed to respond to this requirement. Metrics based on error counting and classification allows to evaluate systems in relation to application requirements." @default.
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- W2489277592 date "2016-01-08" @default.
- W2489277592 modified "2023-10-12" @default.
- W2489277592 title "Evaluating Named Entity Recognition" @default.
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