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1. 发明授权

US09898459B2 Integration of domain information into state transitions of a finite state transducer for natural language processing 有权
公开(公告)号：US09898459B2
公开(公告)日：2018-02-20
申请号：US14855346
申请日：2015-09-15
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： Min Tang
IPC分类号： G06F17/27 , G06F17/28 , G10L15/18 , G06F17/20 , G06F17/30 , G10L15/00 , G10L15/02
CPC分类号： G06F17/28 , G06F17/277 , G06F17/2775 , G06F17/2785 , G10L15/1815 , G10L2015/025
摘要： The invention relates to a system and method for integrating domain information into state transitions of a Finite State Transducer (“FST”) for natural language processing. A system may integrate semantic parsing and information retrieval from an information domain to generate an FST parser that represents the information domain. The FST parser may include a plurality of FST paths, at least one of which may be used to generate a meaning representation from a natural language input. As such, the system may perform domain-based semantic parsing of a natural language input, generating more robust meaning representations using domain information. The system may be applied to a wide range of natural language applications that use natural language input from a user such as, for example, natural language interfaces to computing systems, communication with robots in natural language, personalized digital assistants, question-answer query systems, and/or other natural language processing applications.

2. 发明授权

US09772993B2 System and method of recording utterances using unmanaged crowds for natural language processing 有权
公开(公告)号：US09772993B2
公开(公告)日：2017-09-26
申请号：US15215114
申请日：2016-07-20
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： Daniela Braga , Spencer John Rothwell , Faraz Romani , Ahmad Khamis Elshenawy , Stephen Steele Carter , Michael Kennewick
IPC分类号： G06F17/27 , G10L17/24 , G10L15/26 , G06Q10/10
CPC分类号： G06F17/278 , G06F17/2705 , G06F17/277 , G06Q10/10 , G10L15/26 , G10L17/24
摘要： A system and method of recording utterances for building Named Entity Recognition (“NER”) models, which are used to build dialog systems in which a computer listens and responds to human voice dialog. Utterances to be uttered may be provided to users through their mobile devices, which may record the user uttering (e.g., verbalizing, speaking, etc.) the utterances and upload the recording to a computer for processing. The use of the user's mobile device, which is programmed with an utterance collection application (e.g., configured as a mobile app), facilitates the use of crowd-sourcing human intelligence tasking for widespread collection of utterances from a population of users. As such, obtaining large datasets for building NER models may be facilitated by the system and method disclosed herein.

3. 发明授权

US09747896B2 System and method for providing follow-up responses to prior natural language inputs of a user 有权
公开(公告)号：US09747896B2
公开(公告)日：2017-08-29
申请号：US14884030
申请日：2015-10-15
申请人： VoiceBox Technologies Corporation
发明人： Michael R. Kennewick, Jr. , Michael R. Kennewick, Sr.
IPC分类号： G10L15/18 , G06F17/28 , G06F17/30
CPC分类号： G10L15/18 , G06F17/28 , G06F17/30654
摘要： In certain implementations, follow-up responses may be provided for prior natural language inputs of a user. As an example, a natural language input associated with a user may be received at a computer system. A determination of whether information sufficient for providing an adequate response to the natural language input is currently accessible to the computer system may be effectuated. A first response to the natural language input (that indicates that a follow-up response will be provided) may be provided based on a determination that information sufficient for providing an adequate response to the natural language input is not currently accessible. Information sufficient for providing an adequate response to the natural language input may be received. A second response to the natural language input may then be provided based on the received sufficient information.

4. 发明授权

US09734138B2 System and method of annotating utterances based on tags assigned by unmanaged crowds 有权
公开(公告)号：US09734138B2
公开(公告)日：2017-08-15
申请号：US15257084
申请日：2016-09-06
申请人： VoiceBox Technologies Corporation
发明人： Spencer John Rothwell , Daniela Braga , Ahmad Khamis Elshenawy , Stephen Steele Carter
IPC分类号： G06F17/24 , G06F17/21 , G06F17/27
CPC分类号： G06F17/241 , G06F17/218 , G06F17/278 , G06F17/2785
摘要： A system and method of tagging utterances with Named Entity Recognition (“NER”) labels using unmanaged crowds is provided. The system may generate various annotation jobs in which a user, among a crowd, is asked to tag which parts of an utterance, if any, relate to various entities associated with a domain. For a given domain that is associated with a number of entities that exceeds a threshold N value, multiple batches of jobs (each batch having jobs that have a limited number of entities for tagging) may be used to tag a given utterance from that domain. This reduces the cognitive load imposed on a user, and prevents the user from having to tag more than N entities. As such, a domain with a large number of entities may be tagged efficiently by crowd participants without overloading each crowd participant with too many entities to tag.

5. 发明申请

US20170068809A1 SYSTEM AND METHOD OF PROVIDING AND VALIDATING ENHANCED CAPTCHAS 审中-公开
标题翻译：提供和验证增强CAPTCHAS的系统和方法
公开(公告)号：US20170068809A1
公开(公告)日：2017-03-09
申请号：US15275720
申请日：2016-09-26
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： Vikrant BHOSALE , Spencer John ROTHWELL , Ahmad Khamis ELSHENAWY
IPC分类号： G06F21/36
CPC分类号： G06F21/36 , G06F21/31 , G06F21/32 , G06F2221/2133
摘要： The invention relates to a system and method of automatically distinguishing between computers and human based on responses to enhanced Completely Automated Public Turing test to tell Computers and Humans Apart (“e-captcha”) challenges that do not merely challenge the user to recognize skewed or stylized text. A given e-captcha challenge may be specific to a particular knowledge domain. Accordingly, e-captchas may be used not only to distinguish between computers and humans, but also determine whether a respondent has demonstrated knowledge in the particular knowledge domain. For instance, participants in crowd-sourced tasks, in which unmanaged crowds are asked to perform tasks, may be screened using an e-captcha challenge. This not only validates that a participant is a human (and not a bot, for example, attempting to game the crowd-source task), but also screens the participant based on whether they can successfully respond to the e-captcha challenge.
摘要翻译：本发明涉及一种基于对增强的全自动公共图灵测试的响应来自动区分计算机和人的系统和方法，以告知计算机和人类（“e-captcha”）挑战，其不仅挑战用户识别偏斜或风格化的文字。给定的电子验证挑战可能是特定于知识领域的。因此，e-captchas不仅可以用于区分计算机和人类，还可以确定答辩人是否已经在特定的知识领域中证明知识。例如，可以使用电子验证挑战来筛选非托管人群执行任务的人群来源任务的参与者。这不仅验证了参与者是人（而不是机器人，例如，尝试游戏人群来源任务），而且还可以根据是否能够成功应对电子验证挑战来筛选参与者。

6. 发明申请

US20170068651A1 SYSTEM AND METHOD OF ANNOTATING UTTERANCES BASED ON TAGS ASSIGNED BY UNMANAGED CROWDS 有权
标题翻译：基于由不同角色分配的标签提取UTTERANCES的系统和方法
公开(公告)号：US20170068651A1
公开(公告)日：2017-03-09
申请号：US15257084
申请日：2016-09-06
申请人： VoiceBox Technologies Corporation
发明人： Spencer John ROTHWELL , Daniela BRAGA , Ahmad Khamis ELSHENAWY , Stephen Steele CARTER
IPC分类号： G06F17/24 , G06F17/27 , G06F17/21
CPC分类号： G06F17/241 , G06F17/218 , G06F17/278 , G06F17/2785
摘要： A system and method of tagging utterances with Named Entity Recognition (“NER”) labels using unmanaged crowds is provided. The system may generate various annotation jobs in which a user, among a crowd, is asked to tag which parts of an utterance, if any, relate to various entities associated with a domain. For a given domain that is associated with a number of entities that exceeds a threshold N value, multiple batches of jobs (each batch having jobs that have a limited number of entities for tagging) may be used to tag a given utterance from that domain. This reduces the cognitive load imposed on a user, and prevents the user from having to tag more than N entities. As such, a domain with a large number of entities may be tagged efficiently by crowd participants without overloading each crowd participant with too many entities to tag.
摘要翻译：提供了使用非托管人群使用命名实体识别（“NER”）标签来标记话语的系统和方法。系统可以生成各种注释作业，其中在人群中的用户被要求标记话语的哪个部分（如果有的话）涉及与域相关联的各种实体。对于与超过阈值N值的多个实体相关联的给定域，可以使用多批作业（每个批次具有具有有限数量的用于标记的实体的作业）来标记来自该域的给定话语。这减少了施加在用户上的认知负荷，并且防止用户不必标记超过N个实体。因此，具有大量实体的域可以被群众参与者有效地标记，而不会使具有太多实体的每个群众参与者超载以进行标记。

7. 发明授权

US09570070B2 System and method for processing multi-modal device interactions in a natural language voice services environment 有权
标题翻译：用于在自然语言语音服务环境中处理多模态设备交互的系统和方法
公开(公告)号：US09570070B2
公开(公告)日：2017-02-14
申请号：US14822179
申请日：2015-08-10
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： Larry Baldwin , Chris Weider
IPC分类号： G10L17/00 , G10L15/18 , G10L17/22 , G06Q30/02 , G10L15/24 , G10L15/22
CPC分类号： G10L15/22 , G06Q30/02 , G06Q30/0241 , G06Q30/0261 , G06Q30/0273 , G10L15/18 , G10L15/1815 , G10L15/24 , G10L17/22 , G10L2015/223 , G10L2015/227
摘要： A system and method for processing multi-modal device interactions in a natural language voice services environment may be provided. In particular, one or more multi-modal device interactions may be received in a natural language voice services environment that includes one or more electronic devices. The multi-modal device interactions may include a non-voice interaction with at least one of the electronic devices or an application associated therewith, and may further include a natural language utterance relating to the non-voice interaction. Context relating to the non-voice interaction and the natural language utterance may be extracted and combined to determine an intent of the multi-modal device interaction, and a request may then be routed to one or more of the electronic devices based on the determined intent of the multi-modal device interaction.
摘要翻译：可以提供用于在自然语言语音服务环境中处理多模式设备交互的系统和方法。特别地，可以在包括一个或多个电子设备的自然语言语音服务环境中接收一个或多个多模式设备交互。多模式设备交互可以包括与电子设备中的至少一个或与其相关联的应用的非语音交互，并且还可以包括与非语音交互有关的自然语言话语。可以提取和组合与非语音交互和自然语言话语有关的上下文以确定多模式设备交互的意图，然后可以基于所确定的意图将请求路由到一个或多个电子设备的多模式设备交互。

8. 发明申请

US20160335676A1 SYSTEM AND METHOD FOR DELIVERING TARGETED ADVERTISEMENTS AND/OR PROVIDING NATURAL LANGUAGE PROCESSING BASED ON ADVERTISEMENTS 审中-公开
公开(公告)号：US20160335676A1
公开(公告)日：2016-11-17
申请号：US15223870
申请日：2016-07-29
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： TOM FREEMAN , MIKE KENNEWICK
IPC分类号： G06Q30/02 , G10L15/18 , G06F17/27
CPC分类号： G06Q30/0269 , G06F17/275 , G06Q30/0241 , G06Q30/0242 , G06Q30/0251 , G10L15/18 , G10L15/26 , G10L15/265
摘要： The system and method described herein may use various natural language models to deliver targeted advertisements and/or provide natural language processing based on advertisements. In one implementation, an advertisement associated with a product or service may be provided for presentation to a user. A natural language utterance of the user may be received. The natural language utterance may be interpreted based on the advertisement and, responsive to the existence of a pronoun in the natural language utterance, a determination of whether the pronoun refers to one or more of the product or service or a provider of the product or service may be effectuated.

9. 发明授权

US09361887B1 System and method for providing words or phrases to be uttered by members of a crowd and processing the utterances in crowd-sourced campaigns to facilitate speech analysis 有权
标题翻译：用于提供要由群众成员发出的单词或短语的系统和方法，并处理来自人群的运动中的话语以促进语音分析
公开(公告)号：US09361887B1
公开(公告)日：2016-06-07
申请号：US14846925
申请日：2015-09-07
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： Daniela Braga , Faraz Romani , Ahmad Khamis Elshenawy , Michael Kennewick
IPC分类号： G10L15/26 , G10L15/06
CPC分类号： G10L15/30 , G06F3/0481 , G06F3/04842 , G06F3/0488 , G06F3/162 , G06Q10/10 , G10L15/00 , G10L15/01 , G10L15/063 , G10L17/22 , H04W4/21
摘要： Systems and methods of providing text related to utterances, and gathering voice data in response to the text are provide herein. In various implementations, an identification token that identifies a first file for a voice data collection campaign, and a second file for a session script may be received from a natural language processing training device. The first file and the second file may be used to configure the mobile application to display a sequence of screens, each of the sequence of screens containing text of at least one utterance specified in the voice data collection campaign. Voice data may be received from the natural language processing training device in response to user interaction with the text of the at least one utterance. The voice data and the text may be stored in a transcription library.
摘要翻译：本文提供了提供与话语相关的文本以及响应于文本收集语音数据的系统和方法。在各种实施方式中，可以从自然语言处理训练装置接收识别用于语音数据收集活动的第一文件的识别令牌和用于会话脚本的第二文件。可以使用第一文件和第二文件来配置移动应用程序来显示屏幕序列，每个屏幕序列包含语音数据收集活动中指定的至少一个话语的文本。响应于用户与至少一个话语的文本交互而可以从自然语言处理训练装置接收语音数据。语音数据和文本可以存储在转录库中。

10. 发明申请

US20150348544A1 SYSTEM AND METHOD FOR PROCESSING MULTI-MODAL DEVICE INTERACTIONS IN A NATURAL LANGUAGE VOICE SERVICES ENVIRONMENT 有权
标题翻译：在自然语言语音服务环境中处理多模式设备交互的系统和方法
公开(公告)号：US20150348544A1
公开(公告)日：2015-12-03
申请号：US14822179
申请日：2015-08-10
申请人： VOICEBOX TECHNOLOGIES CORPORATION
发明人： Larry BALDWIN , Chris WEIDER
IPC分类号： G10L15/18 , G10L17/22
CPC分类号： G10L15/22 , G06Q30/02 , G06Q30/0241 , G06Q30/0261 , G06Q30/0273 , G10L15/18 , G10L15/1815 , G10L15/24 , G10L17/22 , G10L2015/223 , G10L2015/227
摘要： A system and method for processing multi-modal device interactions in a natural language voice services environment may be provided. In particular, one or more multi-modal device interactions may be received in a natural language voice services environment that includes one or more electronic devices. The multi-modal device interactions may include a non-voice interaction with at least one of the electronic devices or an application associated therewith, and may further include a natural language utterance relating to the non-voice interaction. Context relating to the non-voice interaction and the natural language utterance may be extracted and combined to determine an intent of the multi-modal device interaction, and a request may then be routed to one or more of the electronic devices based on the determined intent of the multi-modal device interaction.
摘要翻译：可以提供用于在自然语言语音服务环境中处理多模式设备交互的系统和方法。特别地，可以在包括一个或多个电子设备的自然语言语音服务环境中接收一个或多个多模式设备交互。多模式设备交互可以包括与电子设备中的至少一个或与其相关联的应用的非语音交互，并且还可以包括与非语音交互有关的自然语言话语。可以提取和组合与非语音交互和自然语言话语有关的上下文以确定多模式设备交互的意图，然后可以基于所确定的意图将请求路由到一个或多个电子设备的多模式设备交互。

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