Authors: Tofara Moyo
In this paper we will outline a NLP system that is based largely in graph theory, and together with techniques found in linear algebra we will be able to model the rules of logic. Inference from given data in natural language format will then be done by creating a mapping between the premises and the conclusion. During training the vector that is responsible for taking us from the space that the premise occupies to the space that the conclusion occupies will represent the particular logical rule used.Also training involves determining a particular vector for the job.
Comments: 5 Pages.
[v1] 2018-02-03 05:25:39
Unique-IP document downloads: 45 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.