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OP is saying that the rules engine can't catch a bunch of errors that the ML based NLP can. In other words the ML system has a bigger input domain than the rule
by melony 5y ago
OP is saying that the rules engine can't catch a bunch of errors that the ML based NLP can. In other words the ML system has a bigger input domain than the rules engine. I am confused about how they plan to use the rules engine to explain errors that it won't be able to catch at all.
- solarmist 5y agoOh, I expect that you'd use NN NLP to do accurate parsing/tagging/NER then write rules based on the output of that parsing. If you look at https://explosion.ai/demos/displacy https://explosion.ai/demos/displacy, you can see the high-level information you can extract from sentences nowadays, which better matches our understanding of how grammar rules work. And that's an approach that does generalize to languages like Japanese.