Mining the Web to Play “Who Wants to be a Millionaire?

Abstract We exploit the redundancy and volume of information on the web to build a computerized,player for the ABC TV game show “Who Wants To Be A Millionaire?”. The player consists of a questionanswering module,and a decision-making module. The question-answering module,utilizes question transformation techniques, natural language parsing, multiple information retrieval algorithms, and multiple search engines; results are combined,in the spirit of ensemble,learning using an adaptive weighting scheme.,Empirically, the system correctly answers about 75% of questions from the Millionaire CD-ROM, 3rd edition—general-interest trivia questions often