Well, it parses natural language. In linguistics, or syntax to be precise, there are different ideas on how to build syntax trees. The most common is Dependency Grammar, basically just a tree where every word points to the word it refers to (the adjective to the noun, the subject and the object to the verb, the verb is the root). I applied this to a different syntax theory called Role and Reference Grammar. You can google the latter, if you want to look into neural parsers in general, stanfordNLP has modules for python and I think online tools as well and stuff.
Thats super cool! What sort of things did your neural parser do?
Well, it parses natural language. In linguistics, or syntax to be precise, there are different ideas on how to build syntax trees. The most common is Dependency Grammar, basically just a tree where every word points to the word it refers to (the adjective to the noun, the subject and the object to the verb, the verb is the root). I applied this to a different syntax theory called Role and Reference Grammar. You can google the latter, if you want to look into neural parsers in general, stanfordNLP has modules for python and I think online tools as well and stuff.