Lets say I have a dataset of real estate listings. I have a column of text that describes the listing, and another column that shows the number of rooms for example. In most of the cases, the number of rooms is shown in both columns, in the description text and also in the dedicated column.

But for some observations, the number of rooms is in the description text but not in the column "number of rooms". So I have missing data.

I could try to fill the missing data with by applying regex in the description text, but the number of possibilities seems to big.

Is there a machine learning technique in NLP that allows me to do that, since it most of the observations the data is present in both column, so is "naturally labelled"?

If there is, what is the name of these techniques? I would like to search about it but I don't know the proper keywords to google.