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    Method and system for learning ontological relations from documents
    4.
    发明申请
    Method and system for learning ontological relations from documents 有权
    从文件学习本体论关系的方法和系统

    公开(公告)号：US20080154578A1

    公开(公告)日：2008-06-26

    申请号：US11645386

    申请日：2006-12-26

    Applicant: Kui Xu ,  Fuliang Weng

    Inventor： Kui Xu ,  Fuliang Weng

    IPC: G10L13/08

    CPC classification number: G10L15/1815 ,  G10L15/183 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99942

    Abstract: Embodiments of an ontological determination method for use in natural language processing applications are described. In one embodiment, shallow lexico-syntactic patterns are applied to identify relations by extracting term features to distinguish relation terms from non-relation terms, identifying coordinate relations for every adjacent terms; identifying short-distance ontological (e.g., hypernym or part-whole relations) for other adjacent terms based on term features and lexico-syntactic patterns; and then inferring long-distance hypernym and part-whole relations based on the identified coordinate relations and the short-distance relations.

    Abstract translation: 描述了在自然语言处理应用中使用的本体确定方法的实施例。 在一个实施例中，应用浅层词典模式以通过提取术语特征来识别关系，以将关系项与非关系术语区分开来，识别每个相邻术语的坐标关系; 基于术语特征和词典语法模式识别其他相邻术语的短距离本体论（例如，超音阶或部分整体关系）; 然后根据确定的协调关系和短距离关系推断出长距离超高和部分整体关系。

    Dialogue management using scripts and combined confidence scores
    5.
    发明申请
    Dialogue management using scripts and combined confidence scores 有权
    对话管理使用脚本和组合的置信分数

    公开(公告)号：US20060271364A1

    公开(公告)日：2006-11-30

    申请号：US11298765

    申请日：2005-12-08

    Applicant: Danilo Mirkovic ,  Lawrence Cavedon ,  Matthew Purver ,  Florin Ratiu ,  Tobias Scheideck ,  Fuliang Weng ,  Qi Zhang ,  Kui Xu

    Inventor： Danilo Mirkovic ,  Lawrence Cavedon ,  Matthew Purver ,  Florin Ratiu ,  Tobias Scheideck ,  Fuliang Weng ,  Qi Zhang ,  Kui Xu

    IPC: G10L15/00

    CPC classification number: G06F17/28 ,  G10L2015/228

    Abstract: Representation-neutral dialogue systems and methods (“RNDS”) are described that include multi-application, multi-device spoken-language dialogue systems based on the information-state update approach. The RNDS includes representation-neutral core components of a dialogue system that provide scripted domain-specific extensions to routines such as dialogue move modeling and reference resolution, easy substitution of specific semantic representations and associated routines, and clean interfaces to external components for language-understanding (i.e., speech-recognition and parsing) and language-generation, and to domain-specific knowledge sources. The RNDS also resolves multi-device dialogue by evaluating and selecting among candidate dialogue moves based on features at multiple levels. Multiple sources of information are combined, multiple speech recognition and parsing hypotheses tested, and multiple device and moves considered to choose the highest scoring hypothesis overall. Confirmation and clarification behaviour can be governed by the overall score.

    Abstract translation: 描述了中立的对话系统和方法（“RNDS”），其包括基于信息状态更新方法的多应用，多设备语言对话系统。 RNDS包括对话系统的代表性中立的核心组件，其提供脚本特定的例程扩展，例如对话移动建模和参考解析，容易地替换特定的语义表示和相关联的例程，以及将外部组件的界面清理为语言理解 （即语音识别和解析）和语言生成以及针对领域的知识来源。 RNDS还通过基于多层次的特征评估和选择候选对话移动来解决多设备对话。 多个信息来源相结合，多个语音识别和解析假设被测试，多个设备和移动被认为是选择最高的得分假设。 确认和澄清行为可以由总体评分来决定。

    Conditioning slurry samples for quantitative instrumental analysis
    7.
    发明申请
    Conditioning slurry samples for quantitative instrumental analysis 审中-公开
    调理浆料样品进行定量仪器分析

    公开(公告)号：US20100047127A1

    公开(公告)日：2010-02-25

    申请号：US12588897

    申请日：2009-11-02

    Applicant: Mario Luis Costa ,  John Brian Birks ,  Chunmin Pu ,  Kui Xu

    Inventor： Mario Luis Costa ,  John Brian Birks ,  Chunmin Pu ,  Kui Xu

    IPC: G01N31/00

    CPC classification number: G01N1/4077 ,  Y10T436/25375

    Abstract: A method and system to consistently and automatically conditioning and delivering a solid-free liquid (filtrate) sample suitable for instrumental analysis is disclosed. A slurry, preferably a slurry produced by a sub-atmospheric pressure chlorate dioxide generating process, is fed through a filter to remove the solid phase and to provide the liquid phase on the downstream side of the filter, where the concentration of at least one dissolved component is determined.

    Abstract translation: 公开了一种能够持续自动调节和输送适用于仪器分析的无固体液体（滤液）样品的方法和系统。 通过过滤器将浆料，优选由低于大气压的二氯甲烷生成过程产生的浆料进料，以除去固相并在过滤器的下游侧提供液相，其中至少一种溶解的浓度 组件确定。

    Method and system for learning ontological relations from documents
    8.
    发明授权
    Method and system for learning ontological relations from documents 有权
    从文件学习本体论关系的方法和系统

    公开(公告)号：US07630981B2

    公开(公告)日：2009-12-08

    申请号：US11645386

    申请日：2006-12-26

    Applicant: Kui Xu ,  Fuliang Weng

    Inventor： Kui Xu ,  Fuliang Weng

    IPC: G06F17/30

    CPC classification number: G10L15/1815 ,  G10L15/183 ,  Y10S707/99933 ,  Y10S707/99936 ,  Y10S707/99942

    Abstract: Embodiments of an ontological determination method for use in natural language processing applications are described. In one embodiment, shallow lexico-syntactic patterns are applied to identify relations by extracting term features to distinguish relation terms from non-relation terms, identifying coordinate relations for every adjacent terms; identifying short-distance ontological (e.g., hypernym or part-whole relations) for other adjacent terms based on term features and lexico-syntactic patterns; and then inferring long-distance hypernym and part-whole relations based on the identified coordinate relations and the short-distance relations.

    Abstract translation: 描述了在自然语言处理应用中使用的本体确定方法的实施例。 在一个实施例中，应用浅层词典模式以通过提取术语特征来识别关系，以将关系项与非关系术语区分开来，识别每个相邻术语的坐标关系; 基于术语特征和词典语法模式识别其他相邻术语的短距离本体论（例如，超音阶或部分整体关系）; 然后根据确定的协调关系和短距离关系推断出长距离超高和部分整体关系。

    Conditioning slurry samples for quantitative instrumental analysis
    9.
    发明申请
    Conditioning slurry samples for quantitative instrumental analysis 有权
    调理浆料样品进行定量仪器分析

    公开(公告)号：US20060251560A1

    公开(公告)日：2006-11-09

    申请号：US11402946

    申请日：2006-04-13

    Applicant: Mario Costa ,  John Birks ,  Chunmin Pu ,  Kui Xu

    Inventor： Mario Costa ,  John Birks ,  Chunmin Pu ,  Kui Xu

    IPC: C01B25/16

    CPC classification number: G01N1/4077 ,  Y10T436/25375

    Abstract: A method and system to consistently and automatically conditioning and delivering a solid-free liquid (filtrate) sample suitable for instrumental analysis is disclosed. A slurry, preferably a slurry produced by a sub-atmospheric pressure chlorate dioxide generating process, is fed through a filter to remove the solid phase and to provide the liquid phase on the downstream side of the filter, where the concentration of at least one dissolved component is determined.

    Abstract translation: 公开了一种能够持续自动调节和输送适用于仪器分析的无固体液体（滤液）样品的方法和系统。 通过过滤器将浆料，优选由低于大气压的二氯甲烷生成过程产生的浆料进料，以除去固相并在过滤器的下游侧提供液相，其中至少一种溶解的浓度 组件确定。

    Speech recognition using multiple language models
    10.
    发明授权
    Speech recognition using multiple language models 有权
    多语言模型的语音识别

    公开(公告)号：US08972260B2

    公开(公告)日：2015-03-03

    申请号：US13450861

    申请日：2012-04-19

    Applicant: Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    Inventor： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    IPC: G10L15/00 ,  G10L15/32 ,  G10L15/06 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    CPC classification number: G10L15/32 ,  G10L15/063 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    Abstract: In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.

    Abstract translation: 根据一个实施例，一种生成用于语音识别的语言模型的方法包括：识别与语音相对应的训练数据中的多个话语，产生多个话语中的每个发声的频率计数，从多个话语中产生高频多个话语 所述多个话音具有超过预定频率阈值的频率，从具有低于所述预定频率阈值的频率的所述多个话语中产生低频多个话语，使用所述高频率生成基于语法的语言模型 多个话语作为训练数据，并且使用低频多个话语生成统计语言模型作为训练数据。

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