Hello, there are many discussions on similar topics, but I did not find an answer for my situation.
I want to create a ner model, to classify the names of the leaders of countries, countries and cities, I really liked the approach used in the video, but for several labels it does not work correctly.
I have a txt file with a lot of leaders of countries, countries and cities, and I want with a command " textcat.teach" assign them to patterns to then work with ner.
but after I save them, they do not belong to separate patterns, but to common one
And later when I use ner.manual with my pretrained patterns, the program refers to them as one, although they are different.
Therefore, I have a question, whether it is really possible to create pretrained patterns with different labels using "textcat"? If not, what are the options for annotating a large number of patterns taken from a txt file?