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Watson is a question answering computer system capable of answering questions posed in natural language,〔(【引用サイトリンク】title=DeepQA Project: FAQ )〕 developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's first CEO and industrialist Thomas J. Watson.〔(【引用サイトリンク】title=The DeepQA Project )〕 The computer system was specifically developed to answer questions on the quiz show ''Jeopardy!'' In 2011, Watson competed on ''Jeopardy!'' against former winners Brad Rutter and Ken Jennings.〔 Watson received the first place prize of $1 million. Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage including the full text of Wikipedia, but was not connected to the Internet during the game. For each clue, Watson's three most probable responses were displayed on the television screen. Watson consistently outperformed its human opponents on the game's signaling device, but had trouble responding to a few categories, notably those having short clues containing only a few words. In February 2013, IBM announced that Watson software system's first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center in conjunction with health insurance company WellPoint.〔 IBM Watson's former business chief Manoj Saxena says that 90% of nurses in the field who use Watson now follow its guidance. ==Description== Watson is 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.〔 The key difference between QA technology and document search is that document search takes a keyword query and returns a list of documents, ranked in order of relevance to the query (often based on popularity and page ranking), while QA technology takes a question expressed in natural language, seeks to understand it in much greater detail, and returns a precise answer to the question.〔http://craigrhinehart.com/2011/01/17/10-things-you-need-to-know-about-the-technology-behind-watson/〕 According to IBM, "more than 100 different techniques are used to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses." 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Watson (computer)」の詳細全文を読む スポンサード リンク
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