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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:avatar

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.