Performance of named entity recognition using SVM learn-to-rank (SVM+LTR) for all entities in the cross-validation test and unique entities only.
Domaine:
natural language processing
Type de record:
paper
Créateur:
NigMaiHoaQua
Hôte:
Each horizontal row shows Precision, Recall and F-score performance for a class using alternative methods. Unique Rate shows the percentage of unique entity mentions seen in the cross-validation test for each class. ALL shows micro-averaged F-score.