Measuring Text Similarity Using BERT
BERT is too kind — so this article will be touching on BERT and sequence relationships!
Abstract
A significant portion of NLP relies on the connection in highly-dimensional spaces. Typically an NLP processing will take any text, prepare it to generate a tremendous vector/array rendering said text — then make certain transformations.
It’s a highly-dimensional charm. At an exceptional level, there’s not much extra to it. We require to understand what is following in detail and execute this in Python too! So, let’s get incited.
Introduction
Sentence similarity is one of the most explicit examples of how compelling a highly-dimensional spell can be.
The thesis is this:
How BERT Helps?
BERT, as we previously stated — is a special MVP of NLP. And a massive part of this is underneath BERTs capability to embed the essence of words inside densely bound vectors.