Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
TABLE I: Distance measures of the classes and the average over 10 classes
['[EMPTY]', 'Average Vector', 'Median Vector', 'Our Model']
We used a set of legal ontology classes seeded by the legal experts and then expanded by the set expansion we show a visual comparison of the same data. We illustrate the results that we obtained pertaining to ten prominent legal concept classes as well as the mean result across all the classes considered. We compare the representative vector proposed by us against the traditional representative vectors: average vector and median vector. All the results shown in the table are Euclidean distances obtained between the representative vector in question against the respective C0 vector.