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Challenge. To find and understand the clues in the questions, Watson compared possible answers by ranking its confidence in their accuracy, and responded — all in under three seconds. Watson sparked curiosity around “machines that could think” and opened up the possibilities around how AI could be applied to business.
Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
Jun 2, 2016 · IBM has impressed businesses, academics and analysts with Watson’s performance in answering natural language questions based on vast amounts text and other unstructured data.
Watson’s main innovation centered on its ability to quickly execute hundreds of algorithms to simultaneously analyze a question from many directions, find and score potential answers, gather additional supporting evidence for each answer, and evaluate everything using natural language processing.
For nearly two years, IBM scientists have been working on a highly advanced Question Answering (QA) system, codenamed "Watson" after IBM's first president, [Thomas J. Watson]. The scientists believe that the computing system will be able to understand complex questions and answer with enough precision and speed to compete on Jeopardy!
Rob High. Learn how cognitive systems, such as IBM Watson, can transform how organizations think, act, and operate. Understand the natural language processing capabilities and more of IBM Watson. See how evidence-based responses can drive better outcomes. Executive overview.
The question-answering process in IBM Watson*, like that of most other question-answering systems, begins with a question analysis phase that attempts to determine what the question is asking for and how best to approach answering it. Broadly speaking, question analysis receives as input.
