A Machine Learning System To Rewrite An Article While You Read It

New research from Canada proposes a method to automatically rewrite an article as you read it, based on Tinder-style'swiping', or on passive observation of the reader's interaction with the various kinds of content that the article contains. The system, titled Hone As You Read (HARE), is presented in a paper from Western University at Ontario, Canada, with corresponding Python code at GitHub. The central idea of the project is that an article may contain various kinds of content, evolving (much like this one) from the headline down to further details. Later parts of an article may contain different kinds of supporting material, use cases, or hypotheses or conjecture about the ramifications of the news. Under HARE, if you don't like that kind of material, you can vote it away on a paragraph-by-paragraph basis while the system learns your preferences, so that by the time you scroll down, content similar to the material that you'downvoted' has already been removed or rewritten.