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Selecting Answers to Questions from Web Documents by a Robust Validation Process
2011
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Question answering (QA) systems aim at finding answers to question posed in natural language using a collection of documents. When the collection is extracted from the Web, the structure and style of the texts are quite different from those of newspaper articles. We developed a QA system based on an answer validation process able to handle Web specificity. A large number of candidate answers are extracted from short passages in order to be validated according to question and passages
doi:10.1109/wi-iat.2011.210
dblp:conf/webi/GrappyGFLRV11
fatcat:7jdppenkfve6nj3ibua6dqfgtu