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now that weamp;#39;ve talked about some of the pre-processing steps and some of the datasets that you might use question answering on letamp;#39;s talk about one very specific model that tries to read large amounts of natural language text and find answers in them this is an example of the machine reading paradigm where a question comes in given that question you use an information retrieval system to find relevant documents that could have the answer to the document and then given the question and the material that youamp;#39;ve collected from the information retrieval system the system reads over every word in the passage and tries to highlight where might that answer be in my collection so letamp;#39;s dig in on the idea of a highlighter letamp;#39;s say that youamp;#39;re doing a reading comprehension test and you see the question what team represented the AFC in Super Bowl 50 and so you have this question in your mind and you start reading through a bunch of passages and wha
