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Watch: A Breakthrough for Natural Language
Natural language is valuable, but it is complex. With a 1,000 word vocabulary, a 15-word sentence can easily express more than 1e30 (a 1 with 30 zeros) different ideas. Today’s natural language processing is trained to bucket a sentence into one of a few thousand categories–which also means it... 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,... Read more
Intro to Language Processing with the NLTK
Hidden information often lies deep within the boundaries of what we can perceive with our eyes and our ears. Some look to data for that purpose, and most of the time, data can tell us more than we thought was imaginable. But sometimes data might not be clear cut... Read more
Getting to Know Natural Language Understanding
We like to imagine talking to computers the way Picard spoke to Data in Next Generation, but in reality, natural language processing is more than just teaching a computer to understand words. The subtext of how and why we use the words we do is notoriously difficult for computers... Read more
Deep-Text Analysis for Journalism
The challenges faced by traditional media companies in the digital age are well-documented and numerous. Massive layoffs of journalists, shrinking subscription rolls, and termination of the print editions of many smaller newspapers clearly indicate changing consumer preferences. In order to stay relevant, or even solvent, traditional outlets will need... 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... 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... Read more
The Promise of Retrofitting: Building Better Models for Natural Language Processing
Editor’s note: Catherine is a speaker for the upcoming ODSC East 2019 this April 30-May 3! Be sure to check out her talk, “Adding Context and Cognition to Modern NLP Techniques.” OpenAI’s Andrej Karpathy famously said, “I don’t have to actually experience crashing my car into a wall a... 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... Read more
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