최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0725481 (2012-12-21) |
등록번호 | US-8903716 (2014-12-02) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 54 인용 특허 : 1612 |
Methods, systems, and computer readable storage medium related to operating an intelligent digital assistant are disclosed. A text string is obtained from a speech input received from a user. The received text string is interpreted to derive a representation of user intent based at least in part on
Methods, systems, and computer readable storage medium related to operating an intelligent digital assistant are disclosed. A text string is obtained from a speech input received from a user. The received text string is interpreted to derive a representation of user intent based at least in part on a plurality of words associated with a user and stored in memory associated with the user, the plurality of words including words from a plurality of user interactions with an automated assistant. At least one domain, a task, and at least one parameter for the task, are identified based at least in part on the representation of user intent. The identified task is performed. An output is provided to the user, where the output is related to the performance of the task.
1. A method for operating an automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: obtaining a text string from a speech input received from a user;interpreting the received text string to derive a representati
1. A method for operating an automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: obtaining a text string from a speech input received from a user;interpreting the received text string to derive a representation of user intent, the interpreting based at least in part on a persistent long-term personal memory and a short-term personal memory, wherein the persistent long-term personal memory comprises a plurality of words associated with the user, and wherein the short-term personal memory comprises data relating to a current user session with the automated assistant;identifying a task, and at least one parameter for the task, based at least in part on the representation of user intent;performing the identified task; andproviding an output to the user, wherein the output is related to the performance of the task. 2. The method of claim 1, further comprising storing information from the output in the short-term personal memory. 3. The method of claim 1, further comprising: adding one or more words associated with the performing of the identified task to the short-term personal memory. 4. The method of claim 3, wherein the text string corresponds to a user request, and wherein the adding the one or more words includes storing the text string in a list of recent user requests. 5. The method of claim 1, wherein the plurality of words comprises words accessed from a plurality of third-party services to which the user has an account. 6. The method of claim 1, wherein the plurality of words comprises words from a reservation history or a purchase history associated with the user. 7. The method of claim 1, wherein the plurality of words comprises names retrieved from a contact list associated with the user. 8. The method of claim 1, wherein the plurality of words comprises words from one or more of: a to-do list;a note;a calendar entry;a list of businesses;a list of bookmarks; anda list of media items. 9. The method of claim 1, wherein the plurality of words comprises words corresponding to one or more of: a name of a restaurant;a name of a store;a name of a venue;a name of a person; anda name of a media file. 10. A system for operating an intelligent automated assistant, comprising: one or more processors; andmemory storing instructions that, when executed by the one or more processors, cause the processors to perform operations comprising: obtaining a text string from a speech input received from a user;interpreting the received text string to derive a representation of user intent, the interpreting based at least in part on a persistent long-term personal memory and a short-term personal memory, wherein the persistent long-term personal memory comprises a plurality of words associated with the user, and wherein the short-term personal memory comprises data relating to a current user session with the automated assistant;identifying a task, and at least one parameter for the task, based at least in part on the representation of user intent;performing the identified task; andproviding an output to the user, wherein the output is related to the performance of the task. 11. The computer system of claim 10, further comprising means for storing information from the output in the short-term personal memory. 12. The computer system of claim 10, further comprising means for adding one or more words associated with the performing of the identified task to the short-term personal memory. 13. The computer system of claim 12, wherein the text string corresponds to a user request, and wherein the adding the one or more words includes storing the text string in a list of recent user requests. 14. The computer system of claim 10, wherein the plurality of words comprises words accessed from a plurality of third-party services to which the user has an account. 15. The computer system of claim 10, wherein the plurality of words comprises words from a reservation history or a purchase history associated with the user. 16. The computer system of claim 10, wherein the plurality of words comprises names retrieved from a contact list associated with the user. 17. The computer system of claim 10, wherein the plurality of words comprises words from one or more of: a to-do list;a note;a calendar entry;a list of businesses;a list of bookmarks; anda list of media items. 18. The computer system of claim 10, wherein the plurality of words comprises words corresponding to one or more of: a name of a restaurant;a name of a store;a name of a venue;a name of a person; anda name of a media file. 19. A non-transitory computer readable storage medium storing instructions that, when executed by an electronic device with one or more processors, cause the processors to perform operations including: obtaining a text string from a speech input received from a user;interpreting the received text string to derive a representation of user intent, the interpreting based at least in part on a persistent long-term personal memory and a short-term personal memory, wherein the persistent long-term personal memory comprises a plurality of words associated with the user, and wherein the short-term personal memory comprises data relating to a current user session with the automated assistant;identifying a task, and at least one parameter for the task, based at least in part on the representation of user intent;performing the identified task; andproviding an output to the user, wherein the output is related to the performance of the task. 20. The computer readable storage medium of claim 19, the instructions further configured to perform operations including storing information from the output in the short-term personal memory. 21. The computer readable storage medium of claim 19, the instructions further configured to perform operations including adding one or more words associated with the performing of the identified task to the short-term personal memory. 22. The computer readable storage medium of claim 21, wherein the text string corresponds to a user request, and wherein the adding the one or more words includes storing the text string in a list of recent user requests. 23. The computer readable storage medium of claim 19, wherein the plurality of words comprises words accessed from a plurality of third-party services to which the user has an account. 24. The computer readable storage medium of claim 19, wherein the plurality of words comprises words from a reservation history or a purchase history associated with the user. 25. The computer readable storage medium of claim 19, wherein the plurality of words comprises names retrieved from a contact list associated with the user. 26. The computer readable storage medium of claim 19, wherein the plurality of words comprises words from one or more of: a to-do list;a note;a calendar entry;a list of businesses;a list of bookmarks; anda list of media items. 27. The computer readable storage medium of claim 19, wherein the plurality of words comprises words corresponding to one or more of: a name of a restaurant;a name of a store;a name of a venue;a name of a person; anda name of a media file. 28. The method of claim 1, wherein the plurality of words includes words from a social network list. 29. The computer system of claim 10, wherein the plurality of words includes words from a social network list. 30. The computer readable storage medium of claim 19, wherein the plurality of words includes words from a social network list.
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