This work is very interesting and potentially useful in many domains.
Do you have any recommendations on how we might fine-tune models in specific domains to better support structured extraction? Specifically, we would be interested extracting structured data from medical reports where things such as a fixed set of conditions, location site, and other semantic labels are specific to the input text, but patterns could be learned from fine-tuned training. While we could fine-tune the model with a json response to report input, it is not clear that this would be the best approach.
This work is very interesting and potentially useful in many domains.
Do you have any recommendations on how we might fine-tune models in specific domains to better support structured extraction? Specifically, we would be interested extracting structured data from medical reports where things such as a fixed set of conditions, location site, and other semantic labels are specific to the input text, but patterns could be learned from fine-tuned training. While we could fine-tune the model with a json response to report input, it is not clear that this would be the best approach.
Thanks for this work and any future response.