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1. 发明申请

US20100153105A1 SYSTEM AND METHOD FOR REFERRING TO ENTITIES IN A DISCOURSE DOMAIN 有权
标题翻译：引导领域实体的系统和方法
公开(公告)号：US20100153105A1
公开(公告)日：2010-06-17
申请号：US12333863
申请日：2008-12-12
申请人： Giuseppe DI FABBRIZIO , Srinivas Bangalore , Amanda Stent
发明人： Giuseppe DI FABBRIZIO , Srinivas Bangalore , Amanda Stent
IPC分类号： G10L15/26
CPC分类号： G06F17/2881 , G06F17/279 , G10L13/027
摘要： Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for referring to entities. The method includes receiving domain-specific training data of sentences describing a target entity in a context, extracting a speaker history and a visual context from the training data, selecting attributes of the target entity based on at least one of the speaker history, the visual context, and speaker preferences, generating a text expression referring to the target entity based on at least one of the selected attributes, the speaker history, and the context, and outputting the generated text expression. The weighted finite-state automaton can represent partial orderings of word pairs in the domain-specific training data. The weighted finite-state automaton can be speaker specific or speaker independent. The weighted finite-state automaton can include a set of weighted partial orderings of the training data for each possible realization.
摘要翻译：本文公开了用于引用实体的系统，计算机实现的方法和有形的计算机可读介质。该方法包括接收在上下文中描述目标实体的句子的特定领域的训练数据，从训练数据中提取讲者历史和视觉上下文，基于说话者的历史，视觉上的至少一个来选择目标实体的属性上下文和说话人首选项，基于所选择的属性，说话者历史和上下文中的至少一个生成参考目标实体的文本表达，并输出所生成的文本表达。加权有限状态自动机可以表示域特定训练数据中单词对的部分排序。加权有限状态自动机可以是扬声器专用或扬声器独立的。加权有限状态自动机可以包括用于每个可能实现的训练数据的一组加权部分排序。

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