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    System and method for enhanced chatflow application
    1.
    发明授权
    System and method for enhanced chatflow application 有权

    公开(公告)号：US11095590B2

    公开(公告)日：2021-08-17

    申请号：US15279248

    申请日：2016-09-28

    Applicant: International Business Machines Corporation

    Inventor： Raimo Bakis ,  Ladislav Kunc ,  David Nahamoo ,  Lazaros Polymenakos ,  John Zakos

    IPC: G06N20/00 ,  H04L12/58

    Abstract: Embodiments provide a computer implemented method, in a data processing system including a processor and a memory including instructions which are executed by the processor to cause the processor to train an enhanced chatflow system, the method including: ingesting a corpus of information including at least one user input node corresponding to a user question and at least one variation for each user input node; for each user input node: designating the node as a class; storing the node in a dialog node repository; designating each of the at least one variations as training examples for the designated class; converting the classes and the training examples into feature vector representations; training one or more training classifiers using the one or more feature vector representations of the classes; and training classification objectives using the one or more feature vector representations of the training examples.

    Detection of target and non-target users using multi-session information
    3.
    发明授权
    Detection of target and non-target users using multi-session information 有权

    公开(公告)号：US09837080B2

    公开(公告)日：2017-12-05

    申请号：US14465415

    申请日：2014-08-21

    Applicant: International Business Machines Corporation

    Inventor： Hagai Aronowitz ,  Shay Ben-David ,  David Nahamoo ,  Jason W. Pelecanos ,  Orith Toledo-Ronen

    IPC: G10L17/06

    CPC classification number: G10L17/06

    Abstract: Systems and methods for maintaining speaker recognition performance are provided. A method for maintaining speaker recognition performance, comprises training a plurality of models respectively corresponding to speaker recognition scores from a plurality of speakers over a plurality of sessions, and using the plurality of models to conclude whether a speaker seeking access to an environment is a non-ideal target speaker or a non-ideal non-target speaker. Using the plurality of models to conclude comprises calculating a first probability that the speaker seeking access is the non-ideal target speaker, calculating a second probability that the speaker seeking access is the non-ideal non-target speaker, and determining whether the first probability, the second probability or a sum of the first probability and the second probability is above a probability threshold.

    REAL-TIME JARGON TRANSLATION IN A COMMUNICATION SYSTEM
    6.
    发明申请
    REAL-TIME JARGON TRANSLATION IN A COMMUNICATION SYSTEM 有权
    通信系统中的实时JARGON翻译

    公开(公告)号：US20150254234A1

    公开(公告)日：2015-09-10

    申请号：US14195945

    申请日：2014-03-04

    Applicant: International Business Machines Corporation

    Inventor： Priyansh Dixit ,  Victor S. Moore ,  David Nahamoo ,  Dhandapani Shanmugam

    IPC: G06F17/28 ,  G10L15/26

    CPC classification number: G06F17/289 ,  G10L15/26

    Abstract: A computer retrieves profile information of a participant of a multi-party communication. The computer identifies an original jargon included in the multi-party communication based, at least in part, on the profile information. The computer generates a translated jargon by translating the original translated jargon, wherein the translated jargon can be understood by the participant of the multi-party communication. The computer sends the translated jargon to the participant of the multi-party communication.

    Abstract translation: 计算机检索多方通信的参与者的简档信息。 该计算机至少部分地基于简档信息来识别包括在多方通信中的原始术语。 计算机通过翻译原始的翻译术语来生成翻译术语，其中翻译的术语可以被多方通信的参与者理解。 计算机将翻译的术语发送给多方通信的参与者。

    AUTOMATED CONFIRMATION AND DISAMBIGUATION MODULES IN VOICE APPLICATIONS
    7.
    发明申请
    AUTOMATED CONFIRMATION AND DISAMBIGUATION MODULES IN VOICE APPLICATIONS 有权
    语音应用中的自动确认和分配模块

    公开(公告)号：US20150019228A1

    公开(公告)日：2015-01-15

    申请号：US13942307

    申请日：2013-07-15

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： RAHUL P. AKOLKAR ,  Jan Kleindienst ,  Victor S. Moore ,  David Nahamoo ,  Charles F. Wiecha

    IPC: G06F17/30 ,  G10L17/22

    CPC classification number: G06F17/30684 ,  G10L15/1822 ,  G10L15/19 ,  G10L15/22

    Abstract: A method for providing a voice application includes executing control flow logic modeling a dialog flow with a user via a voice browser. The control flow logic produces a disambiguation requirement. A disambiguation module is initiated and a set of at least two candidates and partitioning criteria is sent from the control flow logic to the module. Attributes of the candidates are analyzed to determine a partitioning score for each attribute indicative of ability to distinguish between candidates based on the partitioning criteria. The attributes are sorted based on the partitioning scores. The user is queried based on a top-sorted attribute and results of the query are used to reduce the set of candidates. The steps of analyzing, sorting, and querying are repeated until the set of candidates is reduced to a single candidate. The single candidate is returned to the control flow logic for continued execution.

    Abstract translation: 一种用于提供语音应用的方法包括执行通过语音浏览器与用户建模对话流的控制流逻辑。 控制流逻辑产生消歧要求。 启动消歧模块，并且从控制流逻辑向模块发送一组至少两个候选和分配标准。 分析候选人的属性以确定每个属性的分区分数，其指示基于划分标准来区分候选的能力。 属性根据分区分数进行排序。 基于顶部排序的属性查询用户，并且使用查询结果来减少候选组。 重复分析，排序和查询的步骤，直到将候选集合简化为单个候选。 单个候选者返回到控制流逻辑以继续执行。

    FOREST INFERENCE ENGINE ON CONVERSATION PLATFORM
    10.
    发明申请
    FOREST INFERENCE ENGINE ON CONVERSATION PLATFORM 审中-公开

    公开(公告)号：US20200035221A1

    公开(公告)日：2020-01-30

    申请号：US16046301

    申请日：2018-07-26

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Qi Cheng Li ,  David Nahamoo ,  Shao Chun Li ,  Li Jun Mei ,  Ya Bin Dang ,  Jie Ma ,  Xin Zhou ,  Jian Wang ,  Hao Chen ,  Yi Peng Yu

    IPC: G10L15/08 ,  G06N5/04 ,  G10L15/14 ,  G10L15/10

    Abstract: A computer-implemented method, computer program product, and computer processing system are provided for generating inferences from a forest of predefined problem determination trees using a processor-based conversation platform. The method includes selecting a tree from among the forest of predefined problem determination trees, responsive to user utterances uttered during an inference generating session. The method further includes navigating the tree to allocate a relevant tree node to generate a problem diagnosis question or a problem resolution action by understanding the user utterances among common interaction patterns in problem diagnosis and problem resolution dialogs. The method also includes providing speech for uttering the problem diagnosis question or the problem resolution action to a user.

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