Of course you can use regex patterns, but it gets pretty complicated. See:
https://web.stanford.edu/class/cs124/lec/Maximum_Entropy_Classifiers.pdf,
Christopher Manning uses the example of a word that ends in “c” as a feature
for the class drug. That could be a regex feature. you could also ha
Hi Daniel! Thank you so much!
Unfortunately, I am not sure. I really do not know what is the best way in
this case.
I have a dataset with patterns like:
my name is {name}, from {location}
name: {name}
full name: {name}
I am {name}, i was born in {location}
etc etc etc
I could use regexes too. M
Hi Damiano,
Why are you so sure that your model with not work? A couple of things to
remember, 1. you need quite a bit of training data. Two sentences does not
make a training set. 2. You probably need more than a window of words as your
features. However, you can see that word-2=“name
