Concept information
Preferred term
annotator
Broader concept
Narrower concepts
Example
- For our annotation efforts we measured on average 1 minute per annotator per sentence for NER and 6 seconds per sentence for topic classification. (Hedderich, Adelani, Zhu, Alabi, Markus & Klakow, 2020)
- Hence on average the annotator had to evaluate 127 titles by TVBN topic segment. (Camelin, Damnati, Bouchekif, Landeau, Charlet & Estève, 2018)
- Here each annotator annotated another 1000 pairs from the P-sample and R-sample so that the final test set consists of 2000 pairs from each sample. (Zeller, Šnajder & Padó, 2013)
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-FMSCD6NL-7
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