Fine-grained filler-gap dependency detection on Pearl and Sprouse human-annotated corpus 2013 (test)
100Precisionautomated detection tool for filler-gap dependencies
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| automated detection tool for filler-gap dependenciesCategory=PEQ2026.03 | 100 | 90.5 | 95 | 243 | |
| automated detection tool for filler-gap dependenciesCategory=OEQ2026.03 | 95.8 | 89.5 | 92.5 | 642 | |
| automated detection tool for filler-gap dependenciesCategory=SEQ2026.03 | 92.5 | 89.4 | 90.9 | 146 | |
| automated detection tool for filler-gap dependenciesCategory=SRC2026.03 | 92.4 | 88.3 | 90.3 | 157 | |
| automated detection tool for filler-gap dependenciesCategory=AMQ2026.03 | 92.1 | 95.7 | 93.9 | 1,839 | |
| automated detection tool for filler-gap dependenciesCategory=OMQ2026.03 | 90.8 | 97.7 | 94.1 | 4,950 | |
| automated detection tool for filler-gap dependenciesCategory=ORC2026.03 | 90.1 | 81 | 85.3 | 121 | |
| automated detection tool for filler-gap dependenciesCategory=ARC2026.03 | 84.2 | 71.3 | 77.2 | 38 | |
| automated detection tool for filler-gap dependenciesCategory=SMQ2026.03 | 82.7 | 79.2 | 80.9 | 712 | |
| automated detection tool for filler-gap dependenciesCategory=AEQ2026.03 | 80.8 | 90.5 | 85.4 | 339 |