How to extract specific information from raw , unstructured text using NLP and Deep Learning?

Question

I have data coming from different sources having similar information like the below example where different sources want to specify the age criteria. Is there a NLP or Deep learning based approach which I can use to extract the age rule as shown below from raw unstructured text.

A Criteria
Applicants should be above 21 years of age and up to 65 years or less at the time of maturity.

B Criteria
You are between 25-58 years of age.

C Criteria
Age of the all applicants should be between 21 and 65 .


A Rule
age >=21 AND age <= 65

B Rule
age >=25 AND age <= 58

C Rule
age >=21 AND age <= 65

Answer 1

You can create your own named-entity recognition through a pre-trained model like Spacy. https://spacy.io/usage/linguistic-features#section-named-entities

these keywords in your example should be considered as an age entity

 above 21 years
 65 years or less

try to play its linguistic features to get what you need. Hope this helps.