Table 2 Experimentation results for recognizing spatial attribute of events based on statistical machine learning approach
Features | Machine learning techniques | Event class | ||||
|---|---|---|---|---|---|---|
| Â | Â | Normal | Reporting | Information | Hypothetical | Over all |
11 location-related features | CRF | 84.8 (85.8,83.8) | 82.7 (81.9,83.5) | 62.6 (63.0,62.2) | 88.1 (92.5,84.1) | 81.3 (81.9,80.7) |
| Â | SVM | 84.6 (85.8,83.5) | 83.7 (82.7,84.6) | 54.8 (55.2,54.5) | 81.0 (85.0,77.3) | 80.0 (80.7,79.4) |
| Â | C4.5 | 78.8 (79.6,77.9) | 85.7 (85.2,86.2) | 44.3 (45.0,43.6) | 64.4 (65.1,63.6) | 74.9 (75.5,74.4) |
11 location-related features + event class | CRF | 87.2 (88.3,86.1) | 86.1 (85.6,86.6) | 68.2 (68.4,67.9) | 76.2 (80.0,72.7) | 83.8 (84.5,83.1) |
| Â | SVM | 86.6 (87.7,85.5) | 83.7 (82.7,84.6) | 65.8 (66.2,65.4) | 78.6 (82.5,75.0) | 82.6 (83.3,82.0) |
| Â | C4.5 | 82.8 (84.1,81.6) | 88.4 (87.9,88.9) | 55.3 (56.8,53.8) | 78.2 (79.1,77.3) | 80.1 (81.0,79.2) |
11 location-related features + subject type | CRF | 85.7 (87.4,84.1) | 85.8 (84.9,86.6) | 75.5 (76.0,75.0) | 80.95 (85.0,77.3) | 84.1 (85.1,83.1) |
| Â | SVM | 84.8 (86.4,83.2) | 83.7 (82.7,84.6) | 58.7 (59.1,58.3) | 83.3 (87.5,79.5) | 80.8 (81.6,79.9) |
| Â | C4.5 | 79.5 (80.8,78.3) | 87.2 (86.3,88.0) | 61.3 (61.1,61.5) | 61.2 (61.9,60.5) | 78.0 (78.5,77.4) |
11 location-related features + subject type + event class | CRF | 86.7 (88.1,85.4) | 87.1 (86.4,87.8) | 80.4 (80.6,80.1) | 76.2 (80.0,72.7) | 85.5 (86.3,84.7) |
| Â | SVM | 86.1 (87.8,84.4) | 84.0 (83.1,84.4) | 68.4 (68.8,67.9) | 81.0 (85.0,77.3) | 82.8 (83.7,82.0) |
| Â | C4.5 | 80.2 (80.9,79.5) | 88.0 (87.5,88.5) | 66.7 (68.7,64.7) | 64.4 (65.1,63.6) | 79.5 (80.1,78.8) |