首页> 外国专利> AUGMENTING TEXTUAL EXPLANATIONS WITH COMPLETE DISCOURSE TREES

AUGMENTING TEXTUAL EXPLANATIONS WITH COMPLETE DISCOURSE TREES

机译:使用完整的话语树增强文本解释

摘要

Systems, devices, and methods discussed herein provide improved autonomous agent applications that are configured to provide explanations in response to user-submitted questions. Training data comprising a question, and an explanation pair may be accessed. A discourse tree and an explanation chain can be constructed from the explanation. The explanation chain may identify logical relationships between two entities of elementary discourse units identified from the discourse tree. A query may be submitted for the two entities, and a set of search results can be mined to identify text linking the two entities. An additional discourse tree can be generated from the text of a search result. The additional discourse tree can be combined with the original discourse tree to generate a complete discourse tree. A model may be trained using this augmented data (e.g., the complete discourse tree) to improve the quality of explanations provided by the autonomous agent application.
机译:这里讨论的系统,设备和方法提供了改进的自主代理应用,该应用程序被配置为响应于用户提交的问题提供解释。可以访问包括问题的训练数据和解释对。话语树和解释链可以从解释中构建。解释链可以识别从话语树中识别的基本话语单位的两个实体之间的逻辑关系。可以为两个实体提交查询,并且可以挖掘一组搜索结果以识别链接两个实体的文本。额外的话语树可以从搜索结果的文本生成。额外的话语树可以与原始话语树组合以生成完整的话语树。可以使用此增强数据(例如,完整的话语树)培训模型,以提高自主代理应用程序提供的解释质量。

著录项

  • 公开/公告号US2021117613A1

    专利类型

  • 公开/公告日2021-04-22

    原文格式PDF

  • 申请/专利权人 ORACLE INTERNATIONAL CORPORATION;

    申请/专利号US202016902015

  • 发明设计人 BORIS GALITSKY;

    申请日2020-06-15

  • 分类号G06F40/169;G06N20;G06K9/62;G06F40/289;G06F40/35;

  • 国家 US

  • 入库时间 2022-08-24 18:19:52

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