Modifing the weights of words in the models about medcat HOT 3 CLOSED

Hi!

I'm not entirely sure what you're asking.
Are you trying to add more weight to a specific meaning of an ambiguous word (name)?
Are you trying to avoid recognition of certain words (names) altogether?
Something else?

But in general, there is no way to add more weights to any specific concept or a specific name of a concept.
With that said, the training set will have a significant impact on which concepts and/or names the model is able to effectively identify.

Then again, if you wish to limit the concepts your model is working with, you can always filter out the CUIs you don't need (CDB.filter_by_cui).
Or you could add the CUIs to a filter in the config (config.linking.filters.cuis).

from medcat.

Thanks for your reply.
What I mean is whether I can 'modify the concept vector' of a specific word in vocabulary.

Or Can I further train an already trained model(download completed) with my additional document?
I want to transfer and adjust this model for my experiment.

from medcat.

Yes, you are more than welcome to further train and/or fine tune an existing model. The additional training data can change what the model can recognise significantly. But it all depends on the training route you're taking (whether unsupervised or supervised) as well as the specific training set.

So all in all, by using your own dataset to further train the model, you can probably achieve what you're trying to do.
But it almost certainly won't be possible with a single document.

from medcat.