EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation
Table 23: Weighted precision and recall scores for both classes (relevant and irrelevant) for predicting the benchmark labels of the temporal relations using a 10-fold cross validation. Additionally, the F-measure as harmonic mean of precision and recall is reported. † All language-dependent features except for EN are omitted.
['[BOLD] Features', '[BOLD] Omitted Features', '[BOLD] BS-BIO  [BOLD] Precision', '[BOLD] BS-BIO  [BOLD] Recall', '[BOLD] BS-BIO  [BOLD] F-Measure', '[BOLD] BS-ENC  [BOLD] Precision', '[BOLD] BS-ENC  [BOLD] Recall', '[BOLD] BS-ENC  [BOLD] F-Measure']
7.4.3 Relevance of the Timeline Entries In general, our models learned from the training set are generalisable to the test set, reaching F-measure values of 0.827 in the case of BS-ENC and 0.738 for BS-BIO. Across the biographical sources, the usage of all features combined leads to the best precision and recall scores. The removal of features leads to a decrease in performance: leaving out property labels or the features based on mentions leads to the biggest performance decrease.