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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... Read more
The cost to develop new medicines has grown tremendously despite our computing and medical advances. Although we have a greater need than ever for massive breakthroughs in medical science, the industry itself is still a slow, highly regimented field. Mason Victors, CTO and CPO for Recursion... Read more
This video discusses the use of active learning, deep learning, Bayesian inference, and causality in Project Feels. This project, developed by the Data Science Group at the New York Times, sought to predict how likely a given article was to evoke a range of emotions. Thus... Read more
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... Read more
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... Read more
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... Read more
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... Read more
Much of our machine learning capabilities come from structured data, but the real payload lies in the messy, unstructured data underneath. If we want to gain practical insights, machines have to learn to parse things like social media posts filled with misspellings or sarcasm or handwritten... Read more
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... Read more
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... Read more