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While this is definitely a bad parsing of the affiliation string, our performance on strings in languages other than English is definitely not as good. It's something I hope will be improved in the next version we release in the coming months. Since this is a model based approach, sometimes it can get confused with similar strings (here it is the wordpiece "text"), especially if it is an institution that may not have many samples in the training data.
Mundotêxtil -> Ontotext
: How did this happen?https://api.openalex.org/works?filter=institutions.id:I46831270
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