Performance of named entity recognition using SVM learn-to-rank (SVM+LTR) for all entities in the cross-validation test and unique entities only.

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natural language processing

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paper

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NigMaiHoaQua

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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.

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GhanaNLP/Ghana-Named-Entities

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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.

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