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[WIP] Full update of the header model #580
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…to update_header
…to update_header
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Jun 23, 2020
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Here is a largely reviewed header model:
These improvements fix or make obsolete in particular:
This makes the header model consistent with the other models in term of annotation approach and should eventually improve the labelling accuracy and the quality of extracted metadata.
The old training data (around 2600 examples) is entirely dropped. 300 examples have been annotated in the new training format with the actual header parts from the segmentation model. As compared to the old model, this provides end-to-end results for PMC already quite similar for title, keywords, and first author, but lower for full authors (authors are more duplicated with the new approach and need a deduplication) and for abstract - this is encouraging. Usage of the heuristics now degrades the end-to-end result by 2 point in f-score in average.
To do: