Strategy: currently, the model only processes the first affiliation it sees. So if the string is "University of Washington and University of Wisconsin" the code here https://github.com/allenai/S2AFF/blob/main/s2aff/model.py#L52 will stop when it sees the "and", and will ignore the latter half of the string.
A solution would be to thread this decision through to the top level and just call the entire pipeline on "University of Wisconsin".
Strategy: currently, the model only processes the first affiliation it sees. So if the string is "University of Washington and University of Wisconsin" the code here https://github.com/allenai/S2AFF/blob/main/s2aff/model.py#L52 will stop when it sees the "and", and will ignore the latter half of the string.
A solution would be to thread this decision through to the top level and just call the entire pipeline on "University of Wisconsin".
@regan-huff