for a target table, encoding a target tabular query column, table headers, and target types independently to generate permutation invariant representations of type data associated with a target ontology and tabular data associated with the target table, wherein encoding the target types further includes encoding associated auxiliary information, wherein the auxiliary information includes a partial taxonomy structure comprising linearized two-hop is-a ancestor labels;

processing the encoded tabular query column using a first transformer to obtain a first vector and the encoded table headers using a second transformer to obtain a second vector;

concatenating the first vector and the second vector to obtain a combined vector;

processing the combined vector through a linear layer and a Gaussian Error Linear Unit layer to obtain a final query vector;

processing the encoded target types through a third transformer to obtain a third vector; and

calculating a score for the target tabular query column as a dot product between the final query vector and the third vector to model interactions between the target tabular query column of the target table and the target types and provide a column-type annotation.