Linguistics In NLP: Why So Complex?
Natural language processing has many applications across both business and software development, but roadblocks in human language have made text challenging to analyze and replicate. Why can’t computers seem to get it exactly right? Mariana Romanyshyn from Grammarly sheds light on why and discusses what you need to know... Read more
Combining Millions of Products Into One Marketplace Using Computer Vision and NLP
Editor’s note: Ali Vanderveld will present on this topic at ODSC East 2019! Check out her talk here. ShopRunner is an e-commerce company that receives feeds of product data from over 140 different retailer partners, including large department stores and retailers that specialize in clothing, electronics, appliances, nutritional products,... Read more
Word Embedding and Natural Language Processing
Editor’s note: Check out Mayank’s talk at ODSC East 2019 this April 30 to May 3 in Boston, “Let’s Embed Everything!“ Researchers who work with the nuts and bolts of deep neural networks (or even shallow neural networks, like skip-gram) know that the success of these methods can be attributed in no... Read more
Introduction to Clinical Natural Language Processing
Andrew is a speaker for ODSC East 2019! Be sure to check out his talk, “Introduction to Natural Language Processing in Healthcare,” this May in Boston! Doctors have always written clinical notes about their patients — originally, the notes were on paper and were locked away in a cabinet. Fortunately... Read more
Essential NLP Tools, Code, and Tips
In a previous article, we introduced the influential impact of natural language processing (NLP) in different industries and explained the way this discipline is reshaping several fields, yet facing huge challenges on its way. The main drawbacks we face these days with NLP relate to the fact that language... Read more
An Introduction to Natural Language Processing (NLP)
Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value can be extracted from it. In theory, we can understand and even predict human... Read more
NLP is Changing More Than Just Business: Applications of NLP in History, Art, and Higher Ed
Natural language processing (NLP) is affecting more than just your chatbot experience. It has broad-reaching applications in any field where data is king. Here’s a hint: that’s every field. You may not expect NLP to transform fields outside business and finance, but considering how much data humans have produced... Read more
Why Word Vectors Make Sense in Natural Language Processing
If you’re up-to-date with progress in natural language processing research, you’ve probably heard of word vectors in word2vec. Word2vec is a neural network configuration that ingests sentences to learn word embeddings, or vectors of continuous numbers representing individual words. The neural network accepts a word, which is first mapped to a one-hot... Read more
An Idiot’s Guide to Word2vec Natural Language Processing
Word2vec is arguably the most famous face of the neural network natural language processing revolution. Word2vec provides direct access to vector representations of words, which can help achieve decent performance across a variety of tasks machines are historically bad at. For a quick examination of how word vectors work,... Read more
Tracking the Progress in Natural Language Processing
This post introduces a resource to track the progress and state-of-the-art across many tasks in NLP. Go directly to the document tracking the progress in NLP. Research in machine learning and in natural language processing (NLP) is moving so fast these days, it is hard to keep up. This... Read more