Extraction from Documents and Queries | 2) construction of internal search-signature vector representations for each candidate attribute, based |
Extraction from Documents and Queries | 3) construction of a reference internal search-signature vector representation for a small set of seed attributes provided as input. |
Extraction from Documents and Queries | 4) ranking of candidate attributes with respect to each class (e.g., movies), by computing similarity scores between their individual vector representations and the reference vector of the seed attributes. |