| Conclusion | We show an overall performance of 61% F1 score , and present experiments evaluating LUCHS’s individual components. |
| Experiments | Table 2: Lexicon and Gaussian features greatly expand F1 score (Fl-LUCHS) over the baseline (F1-B), in particular for attributes with few training examples. |
| Experiments | Figure 3 shows the distribution of obtained F1 scores . |
| Experiments | Averaging across all attributes we obtain F1 scores of 0.56 and 0.60 for textual and numeric values respectively. |
| Introduction | 0 We evaluate the overall end-to-end performance of LUCHS, showing an F1 score of 61% when extracting relations from randomly selected Wikipedia pages. |