This page reports the results of the IMAGACT-BabelNet linking algorithm.
The two links above allow to explore the results of the linking procedure: it's possible to search an IMAGACT scene through a list of IMAGACT verbs and see all the BabelSynset that are linked to it or,
viceversa, to search a BabelSynset through a list of BabelNet verbs and see all the scenes linked to it. Scenes and BabelSynsets are represented by their ID and they can be visualized by clicking the
icon. For simplicity verb search is available in two languages only: Italian and English.
General data about the algorithm used, the training set and the amount of linked entities are reported below.
Data about linking
IMAGACT scenes linked to BS | 773 |
IMAGACT English verbs related to the linked scenes | 544 |
BabelSynsets linked to scenes | 517 |
BabelNet English verbs related to the linked BS | 1,100 |
Data about algorithm
ML Method | Linear SVM |
Evaluation method | 10-folds cross validation |
Precision | 0.833 |
Recall | 0.441 |
F-measure | 0.577 |
Training Set
The whole manually annotated dataset is available at the dataset page.
IMAGACT scenes | 50 |
BabelSynset | 57 |
Human judgments | 2,850 (50 x 57) |