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SYSTEM AND METHOD OF RECORDING UTTERANCES USING UNMANAGED CROWDS FOR NATURAL LANGUAGE PRECESSING

机译:使用自然语言处理的人群记录话语的系统和方法

摘要

A system and method of recording utterances for building Named Entity Recognition ("NER") models, which are used to build dialog systems in which a computer listens and responds to human voice dialog. Utterances to be uttered may be provided to users through their mobile devices, which may record the user uttering (e.g., verbalizing, speaking, etc.) the utterances and upload the recording to a computer for processing. The use of the user's mobile device, which is programmed with an utterance collection application (e.g., configured as a mobile app), facilitates the use of crowd-sourcing human intelligence tasking for widespread collection of utterances from a population of users. As such, obtaining large datasets for building NER models may be facilitated by the system and method disclosed herein.
机译:一种用于记录语音以建立命名实体识别(“ NER”)模型的系统和方法,该模型和方法用于建立对话系统,在该对话系统中,计算机侦听并响应人的语音对话。可以通过他们的移动设备向用户提供要讲话的讲话,该移动设备可以记录用户的讲话(例如,口头表达,说话等),并将记录上载到计算机以进行处理。使用由话语收集应用程序(例如,配置为移动应用程序)进行编程的用户的移动设备的使用,便于使用众包式人类智能任务来广泛地收集用户群中的话语。这样,本文公开的系统和方法可以促进获得用于建立NER模型的大数据集。

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