yeah.
So it depends a lot on whether , you know , it  disambiguation is exactly the case where more data is better , right ? You 're  you 're  you can assume similar distributions ,
Yeah.
but if you wanted to do disambiguation on a different type of , uh , test data then your training data , then that extra data wouldn't generalize ,