The phrase matching is super naive. For example, may (from one of the lists) matches "May 10" vs "may have". We likely need to do more advanced NLP so we pick up part of speech to enable better tagging OR write some sort of preprocessor to pick up more common "mis-hits" before doing the comparison.
The phrase matching is super naive. For example,
may(from one of the lists) matches "May 10" vs "may have". We likely need to do more advanced NLP so we pick up part of speech to enable better tagging OR write some sort of preprocessor to pick up more common "mis-hits" before doing the comparison.