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    METRIC FOR AUTOMATIC ASSESSMENT OF CONVERSATIONAL RESPONSES
    1.
    发明申请
    METRIC FOR AUTOMATIC ASSESSMENT OF CONVERSATIONAL RESPONSES 有权
    自动评估对策的方法

    公开(公告)号：US20160352657A1

    公开(公告)日：2016-12-01

    申请号：US14726569

    申请日：2015-05-31

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Michel GALLEY ,  Alessandro SORDONI ,  Christopher John BROCKETT ,  Jianfeng GAO, III ,  William Brennan DOLAN ,  Yangfeng JI ,  Michael AULI ,  Margaret Ann MITCHELL ,  Christopher Brian QUIRK

    IPC: H04L12/58

    CPC classification number: H04L51/02 ,  G06F17/2881 ,  H04L51/10 ,  H04L51/26

    Abstract: Examples are generally directed towards automatic assessment of machine generated conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of multi-reference responses. A response in the set of multi-reference responses includes it context-message data pair and rating. The rating indicates a quality of the response relative to the context-message data pair. A response assessment engine generates a metric score for a machine-generated response based on an assessment metric and the set of multi-reference responses. The metric score indicates a quality of the machine-generated conversational response relative to a user-generated message and a context of the user-generated message. A response generation system of a computing device, such as a digital assistant, is optimized and adjusted based on the metric score to improve the accuracy, quality, and relevance of responses output to the user.

    Abstract translation: 实例通常针对机器生成的会话响应的自动评估。 从至少一个会话数据源提取上下文消息响应n元组，以生成一组多参考响应。 多参考响应集中的响应包括上下文消息数据对和评级。 该等级表示相对于上下文消息数据对的响应的质量。 响应评估引擎基于评估度量和多参考响应集合生成机器生成的响应的度量得分。 度量得分表示相对于用户生成的消息和用户生成的消息的上下文的机器生成的会话响应的质量。 基于度量分数优化和调整诸如数字助理的计算设备的响应生成系统，以提高对用户输出的响应的准确性，质量和相关性。

    CRAFTING FEEDBACK DIALOGUE WITH A DIGITAL ASSISTANT
    2.
    发明申请
    CRAFTING FEEDBACK DIALOGUE WITH A DIGITAL ASSISTANT 审中-公开
    与数位助理员建立反馈对话

    公开(公告)号：US20160342317A1

    公开(公告)日：2016-11-24

    申请号：US14718071

    申请日：2015-05-20

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Melissa Nicole LIM ,  Margaret Ann MITCHELL ,  Christopher Brian QUIRK

    IPC: G06F3/0484 ,  G10L15/22 ,  G10L15/18 ,  G06F3/16 ,  G06F17/27

    CPC classification number: G10L15/22 ,  G06F17/2785 ,  G06Q10/00 ,  G10L15/1822 ,  G10L2015/0635 ,  G10L2015/0638

    Abstract: Examples described herein dynamically personalize a digital assistant for a specific user, creating a personal connection between the digital assistant and the user. The digital assistant accesses user activity and generates queries based on the user activity. The digital assistant facilitates natural language conversations as machine learning sessions between the digital assistant and the user using the one or more queries to learn the user's preferences and receives user input from the user during the learning session in response to the queries. The digital assistant dynamically updates a personalized profile for the user based on the user input during the natural language conversations.

    Abstract translation: 本文描述的示例动态地个性化特定用户的数字助理，在数字助理和用户之间创建个人连接。 数字助理可以访问用户活动，并根据用户活动生成查询。 数字助理利用一个或多个查询来学习用户的偏好并且在学习会话期间响应于查询从用户接收用户输入，从而促进自然语言对话作为数字助理和用户之间的机器学习会话。 数字助理在自然语言对话期间基于用户输入动态地更新用户的个性化简档。

    INTELLIGENT ASSISTANT WITH INTENT-BASED INFORMATION RESOLUTION
    4.
    发明申请
    INTELLIGENT ASSISTANT WITH INTENT-BASED INFORMATION RESOLUTION 审中-公开

    公开(公告)号：US20180233141A1

    公开(公告)日：2018-08-16

    申请号：US15657031

    申请日：2017-07-21

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Oz SOLOMON ,  Christopher Brian QUIRK ,  Han Yee Mimi FUNG ,  Keith Coleman HEROLD

    IPC: G10L15/22 ,  G06F3/16

    Abstract: A method for use with a computing device is provided. The method may include executing one or more programs of an intelligent digital assistant system at a processor and presenting a user interface to a user. At the processor, the method may include receiving natural language user input from the user, parsing the user input at an intent handler to determine an intent template with slots, populating the slots in the intent template with information from user input, and performing resolution on the intent template to partially resolve unresolved information. If a slot with missing slot information exists in the partially resolved intent template, a loop may be executed at the processor to fill the slots. The method may include, at the processor, determining that all required information is available and resolved and generating a rule based upon the intent template with all required information being available and resolved.

    GROUNDED TEXT GENERATION
    5.
    发明申请
    GROUNDED TEXT GENERATION 有权

    公开(公告)号：US20250036881A1

    公开(公告)日：2025-01-30

    申请号：US18919245

    申请日：2024-10-17

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Michel GALLEY ,  Christopher Brian QUIRK ,  William Brennan DOLAN ,  Zeqiu WU

    IPC: G06F40/30 ,  G06F3/16 ,  G06N20/00 ,  H04L51/42

    Abstract: A controllable grounded response generation framework includes a machine learning model, a grounding interface, and a control interface. The machine learning model is trained to output computer-generated text based on input text. The grounding interface is useable by the machine learning model to access a grounding source including information related to the input text. The control interface is useable by the machine learning model to recognize a control signal. The machine learning model is configured to include information from the grounding source in the computer-generated text and focus the computer-generated text based on the control signal.

    CONTROLLABLE GROUNDED TEXT GENERATION
    7.
    发明申请
    CONTROLLABLE GROUNDED TEXT GENERATION 有权

    公开(公告)号：US20210192140A1

    公开(公告)日：2021-06-24

    申请号：US16817124

    申请日：2020-03-12

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Michel GALLEY ,  Christopher Brian QUIRK ,  William Brennan DOLAN ,  Zeqiu WU

    IPC: G06F40/30 ,  G06N20/00 ,  H04L12/58 ,  G06F3/16

    Abstract: A controllable grounded response generation framework includes a machine learning model, a grounding interface, and a control interface. The machine learning model is trained to output computer-generated text based on input text. The grounding interface is useable by the machine learning model to access a grounding source including information related to the input text. The control interface is useable by the machine learning model to recognize a control signal. The machine learning model is configured to include information from the grounding source in the computer-generated text and focus the computer-generated text based on the control signal.

    Distant Supervision for Entity Linking with Filtering of Noise
    10.
    发明申请
    Distant Supervision for Entity Linking with Filtering of Noise 审中-公开

    公开(公告)号：US20190130282A1

    公开(公告)日：2019-05-02

    申请号：US15800005

    申请日：2017-10-31

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Christopher Brian QUIRK ,  Hoifung POON ,  Wen-tau YIH ,  Hai WANG

    IPC: G06N5/02 ,  G06F17/30

    Abstract: A technique is described herein for processing documents in a time-efficient and accurate manner. In a training phase, the technique generates a set of initial training examples by associating entity mentions in a text corpus with corresponding entity identifiers. Each entity identifier uniquely identifies an entity in a particular ontology. The technique then removes noisy training examples from the set of initial training examples, to provide a set of filtered training examples. The technique then applies a machine-learning process to generate a linking component based, in part, on the set of filtered training examples. In an application phase, the technique uses the linking component to link input entity mentions with corresponding entity identifiers. Various application systems can leverage the capabilities of the linking component, including a search system, a document-creation system, etc.

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