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首页> 外国专利> UTILIZING DEEP LEARNING WITH AN INFORMATION RETRIEVAL MECHANISM TO PROVIDE QUESTION ANSWERING IN RESTRICTED DOMAINS

UTILIZING DEEP LEARNING WITH AN INFORMATION RETRIEVAL MECHANISM TO PROVIDE QUESTION ANSWERING IN RESTRICTED DOMAINS

机译：利用深度学习和信息检索机制在受限域中提供问题回答

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摘要

A device receives documents and previously answered questions associated with a restricted domain, and processes the documents and the previously answered questions to generate a corpus of searchable information. The device receives a question associated with the restricted domain, and processes the question, with a machine learning model or a rule-based classifier model, to determine a classification type for the question. The device manipulates the question to generate a query from the question, and processes the query, with an expansion technique, to generate an expanded query. The device utilizes the expanded query, with the corpus of searchable information, to identify candidate answers to the question, and processes the candidate answers and the classification type for the question, with a deep learning model, to generate scored and ranked candidate answers to the question. The device selects an answer from the scored and ranked candidate answers, and provides information indicating the answer.
机译：设备接收与受限域相关联的文档和先前回答的问题，并处理文档和先前回答的问题以生成可搜索信息的语料库。设备接收与受限域关联的问题，并使用机器学习模型或基于规则的分类器模型处理该问题，以确定该问题的分类类型。该设备操纵该问题以从该问题生成查询，并使用扩展技术处理该查询以生成扩展查询。该设备利用扩展的查询以及可搜索信息的语料库来识别问题的候选答案，并使用深度学习模型处理该候选答案和该问题的分类类型，以生成对得分的评分和排名的候选答案。题。设备从得分和排名候选答案中选择答案，并提供指示答案的信息。

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