Tag

natural-language-processing

An Introduction to Working with BERT in Practice

From Deep Learning for Natural Language Processing by Stephan Raaijmakers

This article introduces you to working with BERT.

From Machine Learning to Automated Machine Learning

From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu

This article covers

•   Defining and introducing the fundamental concepts of machine learning

•   Describing the motivation for and high-level concepts of automated machine learning

Multitask Learning

From Deep Learning for Natural Language Processing by Stephan Raaijmakers

This article covers multitask learning for NLP.

Managing Data Sources in Machine Learning

From Graph-Powered Machine Learning by Alessandro Negro

This article discusses managing data in graph-powered machine learning projects.

Creating a Bipartite Graph for a User-Item Dataset

By Graph-Powered Machine Learning Alessandro Negro

This article discusses creating a bigraph for a user-item dataset.

Deep Transfer Learning for NLP with Transformers

From Transfer Learning for Natural Language Processing by Paul Azunre

In this article, we cover some representative deep transfer learning modeling architectures for NLP that rely on a recently popularized neural architecture – the transformer – for key functions.

Detecting Word Types with POS Tagging, Part 2

From Getting Started with Natural Language Processing by Ekaterina Kochmar

This article shows you how to extract the meaningful bits of information from raw text and how to identify their roles. Once you have roles identified, you can move on to syntactic parsing.

Fun Uses for Word Vectors

In this video, Hobson shows you how to move words from inflammatory to less inflammatory context with the help of word vectors (Word2vec).

Detecting Word Types with Part-of-Speech Tagging, part 1

From Getting Started with Natural Language Processing by Ekaterina Kochmar

This article shows you how to extract the meaningful bits of information from raw text and how to identify their roles. Let’s first look into why identifying roles is important.

Shallow Transfer Learning in NLP

From Transfer Learning for Natural Language Processing by Paul Azunre

This article delves into using shallow transfer learning to improve your NLP models.

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