Figures, too! Yeah you could write some logic essentially on top of a library like this, and tune based on optimizing for some notion of recall (grab more surrounding context) and precision (direct context around the word, e.g. only the paragraph or 5 surrounding table rows) for your specific application needs.
Using the models underlying a library like this, there's maybe room for fine-tuning as well if you have a set of documents with specific semantic boundaries that current approaches don't capture. (And you spend an hour drawing bounding boxes to make that happen).
Using the models underlying a library like this, there's maybe room for fine-tuning as well if you have a set of documents with specific semantic boundaries that current approaches don't capture. (And you spend an hour drawing bounding boxes to make that happen).