How To Build Your Own Question Answering System
In this post, we’ll create a very simple question answering system that, given a natural language question, returns the most likely answers from a corpus of documents.
2020 NLP and NeurIPS Highlights
In this post I wanted to share some of the main themes from NLP over the past year, as well as a few interesting highlights from NeurIPS, the largest annual machine learning conference.
How to Apply BERT to Arabic and Other Languages
Up to this point, our tutorials have focused almost exclusively on NLP applications using the English language. While the general algorithms and ideas extend to all languages, the huge number of resources that support English language NLP do not extend to all languages. For example, BERT and BERT-like models are an incredibly powerful tool, but model releases are almost always in English, perhaps followed by Chinese, Russian, or Western European language variants.
Smart Batching Tutorial - Speed Up BERT Training
In this blog post / Notebook, I’ll demonstrate how to dramatically increase BERT’s training time by creating batches of samples with different sequence lengths.
GPU Benchmarks for Fine-Tuning BERT
While working on my recent Multi-Class Classification Example, I was having trouble with running out of memory on the GPU in Colab–a pretty frustrating issue!