If i run the exact same passage of text but a) with no preexisting entity spans, with ner and wikipedia mentioners, b) with a full set of existing entity spans and no ner or wikipedia mentions and c) same as b but with one or two of the entities. I end up with three different sets of output. In the case of a and b i'll get largely the same spans but the linked concepts will differ as will the scores. In the case of c i wont get any results, even though the same span will generate a result for and b.
I would have expected for the same input text and where the ner or wikipedia mentioners find the same span as if i pass it in that the outputs should be the same. Contextually they would be identical, except if its leveraging other surrounding entities (post linking) to additionally help resolve. Even if I pass in all the entity spans found from scenario a into b i get different results, both not all the same spans come out and the score and selected concept can change too.
If i run the exact same passage of text but a) with no preexisting entity spans, with ner and wikipedia mentioners, b) with a full set of existing entity spans and no ner or wikipedia mentions and c) same as b but with one or two of the entities. I end up with three different sets of output. In the case of a and b i'll get largely the same spans but the linked concepts will differ as will the scores. In the case of c i wont get any results, even though the same span will generate a result for and b.
I would have expected for the same input text and where the ner or wikipedia mentioners find the same span as if i pass it in that the outputs should be the same. Contextually they would be identical, except if its leveraging other surrounding entities (post linking) to additionally help resolve. Even if I pass in all the entity spans found from scenario a into b i get different results, both not all the same spans come out and the score and selected concept can change too.