High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data
Table 2: Precision, recall, f-score and accuracy for different features and feature sets on our test set (English only)
['[BOLD] Features', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F-score', '[BOLD] Accuracy']
We compute the performance metrics for individual features as well as for various feature sets on our English language test set to assess their impact. As evident from the results, Mention-Entity-Cooccurr has the biggest impact on the performance of the algorithm among all individual features as it has the highest individual precision and f-score.