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SYSTEMS AND PROCEDURES FOR THE PRODUCTION OF CONTEXT AND CONVERSATIONAL CORRECT ANSWERS TO A QUESTION

机译:系统和程序的制作和对话正确答案的问题

摘要

The present disclosure relates to systems and methods for generating contextually, grammatically, and conversationally correct answers to input questions. Embodiments provide for linguistic and syntactic structure analysis of a submitted question in order to determine whether the submitted question may be answered by at least one headnote. The question is then further analyzed to determine more details about the intent and context of the question. A federated search process, based on the linguistic and syntactic structure analysis, and the additional analysis of the question is used to identify candidate question-answer pairs from a corpus of previously created headnotes. Machine learning models are used to analyze the candidate question-answer pairs, additional rules are applied to rank the candidate answers, and dynamic thresholds are applied to identify the best potential answers to provide to a user as a response to the submitted question.
机译:本公开涉及用于在输入问题上生成上下文,语法和对话正确答案的系统和方法。 实施例提供了对提交的问题的语言和句法结构分析,以确定所提交的问题是否可以通过至少一个校长回答。 然后进一步分析问题以确定有关问题的意图和背景的更多细节。 基于语言和句法结构分析的联邦搜索过程,以及该问题的附加分析用于识别来自先前创建的耳网的语料库中的候选问题答案对。 机器学习模型用于分析候选问题答案对,应用附加规则来对候选答案进行排名,并应用动态阈值来识别向用户提供的最佳潜在答案作为对提交的问题的响应。

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