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nlp
Introduction to Spark NLP: Foundations and Basic Components
Veysel is a speaker for ODSC East 2020 this April 13-17! Be sure to check out his talk, “Spark NLP for Healthcare: Lessons Learned Building Real-World Healthcare AI Systems,” there! * This is the first article in a series of blog posts to help Data Scientists and NLP practitioners learn... Read more
The Most Influential NLP Research of 2019
Natural language processing (NLP) is one of the most important technologies to arise in recent years. Specifically, 2019 has been a big year for NLP with the introduction of the revolutionary BERT language representation model. There are a large variety of underlying tasks and machine learning models powering NLP applications.... Read more
9 Organizations and People Leading the NLP Field
Got a keen interest in where NLP is headed? Who doesn’t? It’s one of the most exciting developments we have in AI, and it’s making waves in every industry imaginable. If you’re trying to keep up with all the advancements, we’ve got nine leaders in NLP you need to be... Read more
Watch: Effective Transfer Learning for NLP
Transfer learning, the practice of applying knowledge gained on one machine learning task to aid the solution of a second task, has seen historic success in the field of computer vision. The output representations of generic image classification models trained on ImageNet have been leveraged to build models that detect... Read more
Ben Vigoda on the New Era of NLP
Many apps and programs claim to be able to understand you and are at least capable of engaging in superficial interactions. Spend long enough talking to one of these programs, however, and you’ll no doubt see the hallmarks of imperfectly reproduced natural language. That technology has not yet caught up... Read more
AI for Good: Bad Guys, Messy Data, & NLP
Artificial intelligence is typically viewed as a tool to help businesses propel themselves in the current digital economy. But the applications of AI are so wide that it can’t be boiled down to a ploy to gain capital. In fact, some seek to use AI and machine learning to provide... Read more
The State of Automatic Text Summarization with NLP
Ideally, NLP will be able to help humans complete tedious text-evaluation tasks, and its potential for use in fields like law and medicine have elicited significant enthusiasm. But where NLP has been applied to processes that do not align with strict mathematical evaluation, which perhaps require judgments of value, progress... Read more
Using NLP and ML to Analyze Legislative Burdens Upon Businesses
The process of legal reasoning and decision making is heavily reliant on information stored in text. Tasks like due diligence, contract review, and legal discovery, that are traditionally time-consuming, can be automated, saving a huge amount of time. This makes the development of approaches that leverage natural language processing (NLP)... Read more
Crisis Intervention and Saving Lives with NLP & Predictive Analytics
Editor’s note: Tom is a speaker for ODSC East 2019 this April 30-May 3! Be sure to attend his talk, “Crisis Intervention and Saving Lives with Natural Language Processing & Predictive Analytics.” The field of predictive modeling is still young, but one of the most effective trailblazers is Crisis Text... Read more
Effective Transfer Learning For NLP
Deep learning may not always be the most appropriate application of algorithms for every model problem. Madison May’s primary focus at Indico Solutions is giving businesses the ability to develop machine learning algorithms despite limited training data through a process called Transfer Learning. [Related Article: Deep Learning with Reinforcement Learning]... Read more