WO2012135226A1 - Augmented conversational understanding architecture - Google Patents
Augmented conversational understanding architecture Download PDFInfo
- Publication number
- WO2012135226A1 WO2012135226A1 PCT/US2012/030751 US2012030751W WO2012135226A1 WO 2012135226 A1 WO2012135226 A1 WO 2012135226A1 US 2012030751 W US2012030751 W US 2012030751W WO 2012135226 A1 WO2012135226 A1 WO 2012135226A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- user
- action
- natural language
- search
- language phrase
- Prior art date
Links
- 230000003190 augmentative effect Effects 0.000 title claims abstract description 14
- 230000009471 action Effects 0.000 claims abstract description 79
- 238000000034 method Methods 0.000 claims description 37
- 230000005055 memory storage Effects 0.000 claims description 14
- 230000004044 response Effects 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 239000003795 chemical substances by application Substances 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000001413 cellular effect Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Definitions
- An augmented conversational understanding architecture may provide a mechanism for facilitating natural language understanding of user queries and conversations.
- personal assistant programs and/or search engines often require specialized formatting and syntax. For example, a user's query of "I want to go see 'Inception' around 7" may be ineffective at communicating the user's true intentions when provided to a conventional system.
- Such systems may generally be incapable of deriving the context that the user is referring to a movie, and that the user desires results informing them of local theatres showing that movie around 7:00.
- An augmented conversational understanding architecture may be provided. Upon receiving a natural language phrase from a user, the phrase may be translated into a search phrase and a search action may be performed on the search phrase.
- FIG. 1 is a block diagram of an operating environment
- FIGs. 2A-2B are block diagrams illustrating an interface for providing an augmented conversational understanding architecture
- FIG. 3 is a block diagram illustrating an interface for providing feedback to an augmented conversational understanding architecture
- FIG. 4 is a flow chart of a method for providing an augmented
- FIG. 5 is a block diagram of a system including a computing device.
- An augmented conversational understanding architecture may facilitate natural language understanding of user queries and conversations.
- the architecture may allow for determining the context of the query and for inferring the user's intentions.
- the architecture may use the words of the natural language query to determine the context of the conversation, to estimate the user intents, and to form appropriate additional queries using a suitable search agent.
- Spoken dialog systems enable people to interact with computers with their voice.
- the primary component that drives the SDS may comprise a dialog manager: this component manages the dialog-based conversation with the user.
- the dialog manager may determine the intention of the user through a combination of multiple sources of input, such as speech recognition and natural language understanding component outputs, context from the prior dialog turns, user context, and/or results returned from a knowledge base (e.g., search engine). After determining the intention, the dialog manager may take an action, such as displaying the final results to the user and/or continuing in a dialog with the user to satisfy their intent.
- FIG. 1 is a block diagram of an operating environment 100 comprising a server 105.
- Server 105 may comprise assorted computing resources and/or software modules such as a spoken dialog system (SDS) 110 comprising a dialog manager 1 11, a personal assistant program 112, a context database 1 16, and/or a search agent 118.
- SDS 1 10 may receive queries and/or action requests from users over network 120. Such queries may be transmitted, for example, from a user device 130 such as a computer and/or cellular phone.
- Network 120 may comprise, for example, a private network, a cellular data network, and/or a public network such as the Internet.
- FIG. 2 A is a block diagram of an interface 200 for providing an augmented conversational understanding architecture.
- Interface 200 may comprise a user input panel 210 and a personal assistant panel 220.
- User input panel 210 may display translated user queries and/or action request such as a user statement 230.
- User statement 230 may comprise, for example, a result from a speech-to-text conversion received from a user of user device 130.
- Personal assistant panel 220 may comprise a plurality of action suggestions 240(A)-(C) derived from a context state associated with the user and user statement 230.
- FIG. 2B is a further illustration of interface 200 comprising an updated display after a user selects one of plurality of action suggestions 240(A).
- plurality of action suggestions 240(A)-(C) may comprise suggested activities in response to a user's expressed intent to "go out tonight."
- personal assistant panel 220 may be updated with a second plurality of action suggestions 250(A)-(C) associated with further defining the user's intent.
- second plurality of action suggestions 250(A)-(C) may comprise different suggested cuisines that the user may want to eat.
- a context state associated with the user may be used to provide and/or order second plurality of action suggestions 250(A)- (C).
- the context state may comprise a history of previous restaurants visited and/or liked by the user, and the types of cuisine may be ordered according to those preferences.
- FIG. 3 is a block diagram of interface 200 illustrating the provision of feedback to an augmented conversational understanding architecture.
- the user may change all and/or a portion of user statement 230 into a modified user statement 310.
- the user may use a mouse, stylus, keyboard, voice command, and/or other input mechanism to select the previously translated word "out” and modify that word to "outside.”
- Personal assistant panel 220 may then be updated with an updated plurality of suggested actions 320(A)-(B) according to modified user statement 310.
- FIG. 4 is a flow chart setting forth the general stages involved in a method 400 consistent with an embodiment of the invention for providing an augmented conversational understanding architecture.
- Method 400 may be implemented using a computing device 400 as described in more detail below with respect to FIG. 4. Ways to implement the stages of method 400 will be described in greater detail below.
- Method 400 may begin at starting block 405 and proceed to stage 410 where computing device 500 may receive an action request.
- SDS 110 may receive a request from user device 130 comprising a user's spoken query to "find a place to eat.”
- Method 400 may then advance to stage 415 where computing device 500 may gather a context state associated with the user.
- the context state may comprise, for example, a role associated with the user, at least one previous user objective, at least one previous user action request, a location of the user, a time, a date, a category associated with the first action request from the user, a data type associated with the first action request from the user, and/or a data category associated with previous user action requests.
- Such information may be stored in context database 1 16 of SDS 110.
- Method 400 may then advance to stage 420 where computing device 500 may create a plurality of objectives according to the context state. For example, SDS may identify "dining" as a domain associated with the query "find a place to eat.” Objectives such as finding a nearby restaurant according to the user's location and/or creating reservations according to a number of users involved in a conversation may thus be generated.
- Method 400 may then advance to stage 425 where computing device 500 may execute the requested action according to the context state. For example, in response to the user query "find a place to eat", translator module 1 14 may command search agent 118 to search for nearby restaurants to the user. The results of this search my be transmitted back to user device 130 by personal assistant program 112 and displayed, for example, in personal assistant panel 220 of interface 200.
- Method 400 may then advance to stage 430 where computing device 500 may update the context state.
- the current selection of choices comprising plurality of action suggestions 240(A)-(C) may each be associated with a predicted probability in the user's context state.
- the user's next action may be used to adjust these predicted probabilities for application to future queries.
- Method 400 may then advance to stage 435 where computing device 500 may determine whether the next requested action is associated with accomplishing the current objective. For example, SDS 1 10 may compare the user's context state to a plurality of user context states each associated with the current objective. Previous users who issued the same action/query request may have taken similar next actions, and a different action by the user at this stage may indicate that an incorrect objective has been predicted. If the user's next action does not comport with the predicted objective, method 400 may return to stage 420 where a new set of objectives may be generated.
- method 400 may advance to stage 440 where computing device 500 may determine if the predicted objective is completed. For example, if SDS 1 10 receives a requested action to finalize a dinner reservation and arrange a taxi, the objective of making dinner plans may be determined to be complete and method 400 may end at stage 442. If the action comprises selecting a restaurant to make reservations at, but a time has not been selected, the predicted objective may be determined not to be complete.
- method 400 may then advance to stage 445 where computing device 500 may provide a next suggested action. For example, where a restaurant is selected but a time is not, personal assistant program 112 may request a reservation time from the user.
- Method 400 may then advance to stage 450 where computing device 500 may receive a next action from the user. For example, the user may input a selection of 7:00 for the reservation time and transmit it to SDS 110. Method 400 may then return to stage 425 and execute the next requested action as described above.
- An embodiment consistent with the invention may comprise a system for providing a context-aware environment.
- the system may comprise a memory storage and a processing unit coupled to the memory storage.
- the processing unit may be operative to receive a natural language phrase from a user, translate the natural language phrase into a search phrase, and perform a search action according to the search phrase.
- the natural language phrase may be received, for example, as a plurality of text words and/or as an audio stream.
- the search phrase may comprise at least one contextual semantic concept not contained in the natural language phrase.
- the processing unit may be further operative to receive a plurality of search results according to the search action and provide the plurality of search results to the user.
- the processing unit may be further operative to provide the plurality of results to a plurality of users.
- the natural language phrase may be derived, for example, from a conversation among the plurality of users.
- the processing unit may be further operative to analyze a plurality of application programming interfaces (APIs) and identify at least one required parameter for each of the plurality of APIs.
- APIs application programming interfaces
- Each of the plurality of APIs may be associated with a website search function.
- Being operative to translate the natural language phrase into the search phrase may comprise the processing unit being operative to identify a context associated with the natural language phrase, determine whether at least one of the plurality of APIs is associated with the identified context, and, if so, translate at least one word of the natural language phrase into the at least one required parameter associated with the at least one of the plurality of APIs.
- Being operative to perform the search action may comprise the processing unit being operative to call the at least one of the plurality of APIs with the at least one required parameter.
- Another embodiment consistent with the invention may comprise a system for providing a context-aware environment.
- the system may comprise a memory storage and a processing unit coupled to the memory storage.
- the processing unit may be operative to receive a natural language phrase from a user, create a context state associated with the natural language phrase, translate the natural language phrase into an executable action, identify a domain associated with the executable action according to the identified context, and performing the executable action within the identified domain.
- the executable action may comprise, for example, a search action, a data creation action, a data modification action, and a communication action.
- the processing unit may be further operative to provide at least one suggested next action to the user.
- the processing unit may be further operative to receive a second natural language phrase from the user, determine whether the second natural language phrase is associated with the at least one suggested next action, and, if so, perform the at least one suggested next action. In response to determining that the second natural language phrase is not associated with the at least one suggested next action, the processing unit may be operative to providing at least one second suggested next action to the user. The processing unit may be further operative to update the context state according to the second natural language phrase.
- Yet another embodiment consistent with the invention may comprise a system for providing a context-aware environment.
- the system may comprise a memory storage and a processing unit coupled to the memory storage.
- the processing unit may be operative to create a plurality of objectives, gather a context state associated with a user, provide a suggested action associated with at least one of the plurality of objectives according to the context state, receive an action request from the user, execute the requested action according to the context state, and determine whether the action is associated with accomplishing the at least one of the plurality of objectives.
- the processing unit may be operative to update the context state, update a probability associated with the suggested action, and determine whether the context state comprises a completed objective of the plurality of objectives. In response to determining that the context state does not comprise the completed objective, the processing unit may be operative to provide at least one second suggested action.
- the context state may comprise, for example, a role associated with the user, at least one previous user objective, at least one previous user action request, a location of the user, a time, a date, a category associated with the first action request from the user, a data type associated with the first action request from the user, and a data category associated with previous user action requests.
- Being operative to determine whether the context state is associated with accomplishing the at least one predicted objective may comprise the processing unit being operative to compare the context state to a plurality of user context states each associated with the at least one of the plurality of objectives.
- FIG. 5 is a block diagram of a system including computing device 500.
- the aforementioned memory storage and processing unit may be implemented in a computing device, such as computing device 500 of FIG. 5. Any suitable combination of hardware, software, or firmware may be used to implement the memory storage and processing unit.
- the memory storage and processing unit may be implemented with computing device 500 or any of other computing devices 518, in combination with computing device 500.
- the aforementioned system, device, and processors are examples and other systems, devices, and processors may comprise the aforementioned memory storage and processing unit, consistent with embodiments of the invention.
- computing device 500 may comprise an operating environment for system 100 as described above. System 100 may operate in other environments and is not limited to computing device 500.
- a system consistent with an embodiment of the invention may include a computing device, such as computing device 500.
- computing device 500 may include at least one processing unit 502 and a system memory 504.
- system memory 504 may comprise, but is not limited to, volatile (e.g., random access memory (RAM)), non- volatile (e.g., read-only memory (ROM)), flash memory, or any combination.
- System memory 504 may include operating system 505, one or more programming modules 506, and may include personal assistant program 112. Operating system 505, for example, may be suitable for controlling computing device 400's operation.
- embodiments of the invention may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 5 by those components within a dashed line 508.
- Computing device 500 may have additional features or functionality.
- computing device 500 may also include additional data storage devices
- Computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data.
- System memory 504, removable storage 509, and non-removable storage 510 are all computer storage media examples (i.e., memory storage).
- Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 500. Any such computer storage media may be part of device 500.
- Computing device 500 may also have input device(s) 512 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, etc.
- Output device(s) 514 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.
- Computing device 500 may also contain a communication connection 516 that may allow device 500 to communicate with other computing devices 518, such as over a network in a distributed computing environment, for example, an intranet or the Internet.
- Communication connection 516 is one example of communication media.
- Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media.
- modulated data signal may describe a signal that has one or more characteristics set or changed in such a manner as to encode information in the signal.
- communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media.
- RF radio frequency
- the term computer readable media as used herein may include both storage media and communication media.
- programming modules 506 may perform processes including, for example, one or more of method 500's stages as described above.
- processing unit 502 may perform other processes.
- Other programming modules that may be used in accordance with
- embodiments of the present invention may include electronic mail and contacts applications, word processing applications, spreadsheet applications, database
- program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types.
- embodiments of the invention may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor- based or programmable consumer electronics, minicomputers, mainframe computers, and the like.
- Embodiments of the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network.
- program modules may be located in both local and remote memory storage devices.
- embodiments of the invention may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors.
- Embodiments of the invention may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies.
- embodiments of the invention may be practiced within a general purpose computer or in any other circuits or systems.
- Embodiments of the invention may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media.
- the computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process.
- the computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process.
- the present invention may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.).
- embodiments of the present invention may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system.
- a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
- the computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM).
- RAM random access memory
- ROM read-only memory
- EPROM or Flash memory erasable programmable read-only memory
- CD-ROM portable compact disc read-only memory
- the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Acoustics & Sound (AREA)
- General Health & Medical Sciences (AREA)
- Machine Translation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- User Interface Of Digital Computer (AREA)
- Information Transfer Between Computers (AREA)
- Stored Programmes (AREA)
- Telephonic Communication Services (AREA)
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020137025586A KR101963915B1 (ko) | 2011-03-31 | 2012-03-27 | 강화된 대화 이해 아키텍처 |
JP2014502721A JP2014512046A (ja) | 2011-03-31 | 2012-03-27 | 拡張された会話理解アーキテクチャ |
EP12763913.6A EP2691885A4 (en) | 2011-03-31 | 2012-03-27 | INCREASED CONVERSATIONAL UNDERSTANDING ARCHITECTURE |
Applications Claiming Priority (14)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/077,431 | 2011-03-31 | ||
US13/077,233 US20120253789A1 (en) | 2011-03-31 | 2011-03-31 | Conversational Dialog Learning and Correction |
US13/077,431 US10642934B2 (en) | 2011-03-31 | 2011-03-31 | Augmented conversational understanding architecture |
US13/076,862 US9760566B2 (en) | 2011-03-31 | 2011-03-31 | Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof |
US13/077,455 US9244984B2 (en) | 2011-03-31 | 2011-03-31 | Location based conversational understanding |
US13/077,303 | 2011-03-31 | ||
US13/077,303 US9858343B2 (en) | 2011-03-31 | 2011-03-31 | Personalization of queries, conversations, and searches |
US13/077,396 | 2011-03-31 | ||
US13/077,233 | 2011-03-31 | ||
US13/076,862 | 2011-03-31 | ||
US13/077,396 US9842168B2 (en) | 2011-03-31 | 2011-03-31 | Task driven user intents |
US13/077,368 | 2011-03-31 | ||
US13/077,455 | 2011-03-31 | ||
US13/077,368 US9298287B2 (en) | 2011-03-31 | 2011-03-31 | Combined activation for natural user interface systems |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2012135226A1 true WO2012135226A1 (en) | 2012-10-04 |
Family
ID=46931884
Family Applications (7)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2012/030740 WO2012135218A2 (en) | 2011-03-31 | 2012-03-27 | Combined activation for natural user interface systems |
PCT/US2012/030636 WO2012135157A2 (en) | 2011-03-31 | 2012-03-27 | Task driven user intents |
PCT/US2012/030751 WO2012135226A1 (en) | 2011-03-31 | 2012-03-27 | Augmented conversational understanding architecture |
PCT/US2012/030757 WO2012135229A2 (en) | 2011-03-31 | 2012-03-27 | Conversational dialog learning and correction |
PCT/US2012/030730 WO2012135210A2 (en) | 2011-03-31 | 2012-03-27 | Location-based conversational understanding |
PCT/US2012/031722 WO2012135783A2 (en) | 2011-03-31 | 2012-03-30 | Augmented conversational understanding agent |
PCT/US2012/031736 WO2012135791A2 (en) | 2011-03-31 | 2012-03-30 | Personalization of queries, conversations, and searches |
Family Applications Before (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2012/030740 WO2012135218A2 (en) | 2011-03-31 | 2012-03-27 | Combined activation for natural user interface systems |
PCT/US2012/030636 WO2012135157A2 (en) | 2011-03-31 | 2012-03-27 | Task driven user intents |
Family Applications After (4)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2012/030757 WO2012135229A2 (en) | 2011-03-31 | 2012-03-27 | Conversational dialog learning and correction |
PCT/US2012/030730 WO2012135210A2 (en) | 2011-03-31 | 2012-03-27 | Location-based conversational understanding |
PCT/US2012/031722 WO2012135783A2 (en) | 2011-03-31 | 2012-03-30 | Augmented conversational understanding agent |
PCT/US2012/031736 WO2012135791A2 (en) | 2011-03-31 | 2012-03-30 | Personalization of queries, conversations, and searches |
Country Status (5)
Country | Link |
---|---|
EP (6) | EP2691870A4 (ja) |
JP (4) | JP6087899B2 (ja) |
KR (3) | KR20140014200A (ja) |
CN (8) | CN102737096B (ja) |
WO (7) | WO2012135218A2 (ja) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160056591A (ko) * | 2014-11-12 | 2016-05-20 | 삼성전자주식회사 | 질의를 처리하는 장치 및 방법 |
US20170351532A1 (en) * | 2016-06-07 | 2017-12-07 | Google Inc. | Nondeterministic task initiation by a personal assistant module |
WO2018063862A1 (en) * | 2016-09-27 | 2018-04-05 | Microsoft Technology Licensing, Llc | Control system using scoped search and conversational interface |
WO2018063924A1 (en) * | 2016-09-29 | 2018-04-05 | Microsoft Technology Licensing, Llc | Conversational data analysis |
EP3210096A4 (en) * | 2014-10-21 | 2018-07-04 | Robert Bosch GmbH | Method and system for automation of response selection and composition in dialog systems |
CN109219812A (zh) * | 2016-06-03 | 2019-01-15 | 马鲁巴公司 | 口语对话系统中的自然语言生成 |
WO2019199516A1 (en) * | 2018-04-11 | 2019-10-17 | Motorola Solutions, Inc. | System and method for tailoring an electronic digital assistant query as a function of captured multi-party voice dialog and an electronically stored multi-party voice-interaction template |
US10535005B1 (en) | 2016-10-26 | 2020-01-14 | Google Llc | Providing contextual actions for mobile onscreen content |
US10652706B1 (en) | 2014-07-11 | 2020-05-12 | Google Llc | Entity disambiguation in a mobile environment |
Families Citing this family (200)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8677377B2 (en) | 2005-09-08 | 2014-03-18 | Apple Inc. | Method and apparatus for building an intelligent automated assistant |
US9318108B2 (en) | 2010-01-18 | 2016-04-19 | Apple Inc. | Intelligent automated assistant |
US8977255B2 (en) | 2007-04-03 | 2015-03-10 | Apple Inc. | Method and system for operating a multi-function portable electronic device using voice-activation |
US10002189B2 (en) | 2007-12-20 | 2018-06-19 | Apple Inc. | Method and apparatus for searching using an active ontology |
US9330720B2 (en) | 2008-01-03 | 2016-05-03 | Apple Inc. | Methods and apparatus for altering audio output signals |
US8996376B2 (en) | 2008-04-05 | 2015-03-31 | Apple Inc. | Intelligent text-to-speech conversion |
US20100030549A1 (en) | 2008-07-31 | 2010-02-04 | Lee Michael M | Mobile device having human language translation capability with positional feedback |
US8676904B2 (en) | 2008-10-02 | 2014-03-18 | Apple Inc. | Electronic devices with voice command and contextual data processing capabilities |
US10241752B2 (en) | 2011-09-30 | 2019-03-26 | Apple Inc. | Interface for a virtual digital assistant |
US10706373B2 (en) | 2011-06-03 | 2020-07-07 | Apple Inc. | Performing actions associated with task items that represent tasks to perform |
US10241644B2 (en) | 2011-06-03 | 2019-03-26 | Apple Inc. | Actionable reminder entries |
US10276170B2 (en) | 2010-01-18 | 2019-04-30 | Apple Inc. | Intelligent automated assistant |
US8682667B2 (en) | 2010-02-25 | 2014-03-25 | Apple Inc. | User profiling for selecting user specific voice input processing information |
US10032127B2 (en) | 2011-02-18 | 2018-07-24 | Nuance Communications, Inc. | Methods and apparatus for determining a clinician's intent to order an item |
US9262612B2 (en) | 2011-03-21 | 2016-02-16 | Apple Inc. | Device access using voice authentication |
US9760566B2 (en) | 2011-03-31 | 2017-09-12 | Microsoft Technology Licensing, Llc | Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof |
US9842168B2 (en) | 2011-03-31 | 2017-12-12 | Microsoft Technology Licensing, Llc | Task driven user intents |
US10642934B2 (en) | 2011-03-31 | 2020-05-05 | Microsoft Technology Licensing, Llc | Augmented conversational understanding architecture |
US9064006B2 (en) | 2012-08-23 | 2015-06-23 | Microsoft Technology Licensing, Llc | Translating natural language utterances to keyword search queries |
US10057736B2 (en) | 2011-06-03 | 2018-08-21 | Apple Inc. | Active transport based notifications |
US10134385B2 (en) | 2012-03-02 | 2018-11-20 | Apple Inc. | Systems and methods for name pronunciation |
US10417037B2 (en) | 2012-05-15 | 2019-09-17 | Apple Inc. | Systems and methods for integrating third party services with a digital assistant |
US9721563B2 (en) | 2012-06-08 | 2017-08-01 | Apple Inc. | Name recognition system |
WO2014025990A1 (en) | 2012-08-10 | 2014-02-13 | Nuance Communications, Inc. | Virtual agent communication for electronic devices |
US9547647B2 (en) | 2012-09-19 | 2017-01-17 | Apple Inc. | Voice-based media searching |
DE112014000709B4 (de) | 2013-02-07 | 2021-12-30 | Apple Inc. | Verfahren und vorrichtung zum betrieb eines sprachtriggers für einen digitalen assistenten |
WO2014134093A1 (en) * | 2013-03-01 | 2014-09-04 | Nuance Communications, Inc. | Methods and apparatus for determining a clinician's intent to order an item |
US10652394B2 (en) | 2013-03-14 | 2020-05-12 | Apple Inc. | System and method for processing voicemail |
US10748529B1 (en) | 2013-03-15 | 2020-08-18 | Apple Inc. | Voice activated device for use with a voice-based digital assistant |
US9436287B2 (en) * | 2013-03-15 | 2016-09-06 | Qualcomm Incorporated | Systems and methods for switching processing modes using gestures |
WO2014197334A2 (en) | 2013-06-07 | 2014-12-11 | Apple Inc. | System and method for user-specified pronunciation of words for speech synthesis and recognition |
WO2014197335A1 (en) | 2013-06-08 | 2014-12-11 | Apple Inc. | Interpreting and acting upon commands that involve sharing information with remote devices |
US10176167B2 (en) | 2013-06-09 | 2019-01-08 | Apple Inc. | System and method for inferring user intent from speech inputs |
KR101922663B1 (ko) | 2013-06-09 | 2018-11-28 | 애플 인크. | 디지털 어시스턴트의 둘 이상의 인스턴스들에 걸친 대화 지속성을 가능하게 하기 위한 디바이스, 방법 및 그래픽 사용자 인터페이스 |
US9728184B2 (en) | 2013-06-18 | 2017-08-08 | Microsoft Technology Licensing, Llc | Restructuring deep neural network acoustic models |
US9311298B2 (en) | 2013-06-21 | 2016-04-12 | Microsoft Technology Licensing, Llc | Building conversational understanding systems using a toolset |
US9589565B2 (en) | 2013-06-21 | 2017-03-07 | Microsoft Technology Licensing, Llc | Environmentally aware dialog policies and response generation |
US10791216B2 (en) | 2013-08-06 | 2020-09-29 | Apple Inc. | Auto-activating smart responses based on activities from remote devices |
US10296160B2 (en) | 2013-12-06 | 2019-05-21 | Apple Inc. | Method for extracting salient dialog usage from live data |
CN104714954A (zh) * | 2013-12-13 | 2015-06-17 | 中国电信股份有限公司 | 基于上下文理解的信息搜索方法和系统 |
US20150170053A1 (en) * | 2013-12-13 | 2015-06-18 | Microsoft Corporation | Personalized machine learning models |
US10534623B2 (en) | 2013-12-16 | 2020-01-14 | Nuance Communications, Inc. | Systems and methods for providing a virtual assistant |
US10015770B2 (en) | 2014-03-24 | 2018-07-03 | International Business Machines Corporation | Social proximity networks for mobile phones |
US9529794B2 (en) | 2014-03-27 | 2016-12-27 | Microsoft Technology Licensing, Llc | Flexible schema for language model customization |
US20150278370A1 (en) * | 2014-04-01 | 2015-10-01 | Microsoft Corporation | Task completion for natural language input |
US10111099B2 (en) | 2014-05-12 | 2018-10-23 | Microsoft Technology Licensing, Llc | Distributing content in managed wireless distribution networks |
US9874914B2 (en) | 2014-05-19 | 2018-01-23 | Microsoft Technology Licensing, Llc | Power management contracts for accessory devices |
US9715875B2 (en) | 2014-05-30 | 2017-07-25 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
US9430463B2 (en) | 2014-05-30 | 2016-08-30 | Apple Inc. | Exemplar-based natural language processing |
US9633004B2 (en) | 2014-05-30 | 2017-04-25 | Apple Inc. | Better resolution when referencing to concepts |
US10170123B2 (en) | 2014-05-30 | 2019-01-01 | Apple Inc. | Intelligent assistant for home automation |
TWI566107B (zh) | 2014-05-30 | 2017-01-11 | 蘋果公司 | 用於處理多部分語音命令之方法、非暫時性電腦可讀儲存媒體及電子裝置 |
US9355640B2 (en) * | 2014-06-04 | 2016-05-31 | Google Inc. | Invoking action responsive to co-presence determination |
US9717006B2 (en) | 2014-06-23 | 2017-07-25 | Microsoft Technology Licensing, Llc | Device quarantine in a wireless network |
JP6275569B2 (ja) * | 2014-06-27 | 2018-02-07 | 株式会社東芝 | 対話装置、方法およびプログラム |
US9338493B2 (en) | 2014-06-30 | 2016-05-10 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US10146409B2 (en) * | 2014-08-29 | 2018-12-04 | Microsoft Technology Licensing, Llc | Computerized dynamic splitting of interaction across multiple content |
US9818400B2 (en) | 2014-09-11 | 2017-11-14 | Apple Inc. | Method and apparatus for discovering trending terms in speech requests |
US10074360B2 (en) | 2014-09-30 | 2018-09-11 | Apple Inc. | Providing an indication of the suitability of speech recognition |
US9668121B2 (en) | 2014-09-30 | 2017-05-30 | Apple Inc. | Social reminders |
US10127911B2 (en) | 2014-09-30 | 2018-11-13 | Apple Inc. | Speaker identification and unsupervised speaker adaptation techniques |
KR102188268B1 (ko) * | 2014-10-08 | 2020-12-08 | 엘지전자 주식회사 | 이동단말기 및 그 제어방법 |
US9836452B2 (en) * | 2014-12-30 | 2017-12-05 | Microsoft Technology Licensing, Llc | Discriminating ambiguous expressions to enhance user experience |
US10713005B2 (en) | 2015-01-05 | 2020-07-14 | Google Llc | Multimodal state circulation |
US10572810B2 (en) | 2015-01-07 | 2020-02-25 | Microsoft Technology Licensing, Llc | Managing user interaction for input understanding determinations |
WO2016129767A1 (ko) * | 2015-02-13 | 2016-08-18 | 주식회사 팔락성 | 온라인 사이트 링크방법 |
US10152299B2 (en) | 2015-03-06 | 2018-12-11 | Apple Inc. | Reducing response latency of intelligent automated assistants |
US9721566B2 (en) | 2015-03-08 | 2017-08-01 | Apple Inc. | Competing devices responding to voice triggers |
US10567477B2 (en) | 2015-03-08 | 2020-02-18 | Apple Inc. | Virtual assistant continuity |
US9886953B2 (en) | 2015-03-08 | 2018-02-06 | Apple Inc. | Virtual assistant activation |
US10460227B2 (en) | 2015-05-15 | 2019-10-29 | Apple Inc. | Virtual assistant in a communication session |
US10200824B2 (en) | 2015-05-27 | 2019-02-05 | Apple Inc. | Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device |
US10083688B2 (en) | 2015-05-27 | 2018-09-25 | Apple Inc. | Device voice control for selecting a displayed affordance |
US9578173B2 (en) | 2015-06-05 | 2017-02-21 | Apple Inc. | Virtual assistant aided communication with 3rd party service in a communication session |
US11025565B2 (en) | 2015-06-07 | 2021-06-01 | Apple Inc. | Personalized prediction of responses for instant messaging |
US9792281B2 (en) * | 2015-06-15 | 2017-10-17 | Microsoft Technology Licensing, Llc | Contextual language generation by leveraging language understanding |
US20160378747A1 (en) | 2015-06-29 | 2016-12-29 | Apple Inc. | Virtual assistant for media playback |
US10249297B2 (en) | 2015-07-13 | 2019-04-02 | Microsoft Technology Licensing, Llc | Propagating conversational alternatives using delayed hypothesis binding |
US10671428B2 (en) | 2015-09-08 | 2020-06-02 | Apple Inc. | Distributed personal assistant |
US10747498B2 (en) | 2015-09-08 | 2020-08-18 | Apple Inc. | Zero latency digital assistant |
US10331312B2 (en) | 2015-09-08 | 2019-06-25 | Apple Inc. | Intelligent automated assistant in a media environment |
US10740384B2 (en) | 2015-09-08 | 2020-08-11 | Apple Inc. | Intelligent automated assistant for media search and playback |
KR20170033722A (ko) * | 2015-09-17 | 2017-03-27 | 삼성전자주식회사 | 사용자의 발화 처리 장치 및 방법과, 음성 대화 관리 장치 |
US10262654B2 (en) * | 2015-09-24 | 2019-04-16 | Microsoft Technology Licensing, Llc | Detecting actionable items in a conversation among participants |
US11587559B2 (en) | 2015-09-30 | 2023-02-21 | Apple Inc. | Intelligent device identification |
US10970646B2 (en) * | 2015-10-01 | 2021-04-06 | Google Llc | Action suggestions for user-selected content |
US10691473B2 (en) | 2015-11-06 | 2020-06-23 | Apple Inc. | Intelligent automated assistant in a messaging environment |
US10956666B2 (en) | 2015-11-09 | 2021-03-23 | Apple Inc. | Unconventional virtual assistant interactions |
KR102393928B1 (ko) * | 2015-11-10 | 2022-05-04 | 삼성전자주식회사 | 응답 메시지를 추천하는 사용자 단말 장치 및 그 방법 |
CN108351890B (zh) * | 2015-11-24 | 2022-04-12 | 三星电子株式会社 | 电子装置及其操作方法 |
US10049668B2 (en) | 2015-12-02 | 2018-08-14 | Apple Inc. | Applying neural network language models to weighted finite state transducers for automatic speech recognition |
KR102502569B1 (ko) | 2015-12-02 | 2023-02-23 | 삼성전자주식회사 | 시스템 리소스 관리를 위한 방법 및 장치 |
US10223066B2 (en) | 2015-12-23 | 2019-03-05 | Apple Inc. | Proactive assistance based on dialog communication between devices |
US9905248B2 (en) | 2016-02-29 | 2018-02-27 | International Business Machines Corporation | Inferring user intentions based on user conversation data and spatio-temporal data |
US9978396B2 (en) | 2016-03-16 | 2018-05-22 | International Business Machines Corporation | Graphical display of phone conversations |
US10587708B2 (en) * | 2016-03-28 | 2020-03-10 | Microsoft Technology Licensing, Llc | Multi-modal conversational intercom |
US11487512B2 (en) | 2016-03-29 | 2022-11-01 | Microsoft Technology Licensing, Llc | Generating a services application |
US10158593B2 (en) * | 2016-04-08 | 2018-12-18 | Microsoft Technology Licensing, Llc | Proactive intelligent personal assistant |
US10945129B2 (en) * | 2016-04-29 | 2021-03-09 | Microsoft Technology Licensing, Llc | Facilitating interaction among digital personal assistants |
US10409876B2 (en) * | 2016-05-26 | 2019-09-10 | Microsoft Technology Licensing, Llc. | Intelligent capture, storage, and retrieval of information for task completion |
US10249300B2 (en) | 2016-06-06 | 2019-04-02 | Apple Inc. | Intelligent list reading |
US11227589B2 (en) | 2016-06-06 | 2022-01-18 | Apple Inc. | Intelligent list reading |
US10049663B2 (en) | 2016-06-08 | 2018-08-14 | Apple, Inc. | Intelligent automated assistant for media exploration |
DK179588B1 (en) | 2016-06-09 | 2019-02-22 | Apple Inc. | INTELLIGENT AUTOMATED ASSISTANT IN A HOME ENVIRONMENT |
US10586535B2 (en) | 2016-06-10 | 2020-03-10 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
US10067938B2 (en) | 2016-06-10 | 2018-09-04 | Apple Inc. | Multilingual word prediction |
DK179415B1 (en) | 2016-06-11 | 2018-06-14 | Apple Inc | Intelligent device arbitration and control |
DK179343B1 (en) | 2016-06-11 | 2018-05-14 | Apple Inc | Intelligent task discovery |
DK201670540A1 (en) | 2016-06-11 | 2018-01-08 | Apple Inc | Application integration with a digital assistant |
US10216269B2 (en) * | 2016-06-21 | 2019-02-26 | GM Global Technology Operations LLC | Apparatus and method for determining intent of user based on gaze information |
CN109643308B (zh) * | 2016-08-23 | 2023-03-28 | 伊路米纳有限公司 | 确定相关的本体数据的语义距离系统及方法 |
US10474753B2 (en) | 2016-09-07 | 2019-11-12 | Apple Inc. | Language identification using recurrent neural networks |
US10446137B2 (en) | 2016-09-07 | 2019-10-15 | Microsoft Technology Licensing, Llc | Ambiguity resolving conversational understanding system |
US10503767B2 (en) * | 2016-09-13 | 2019-12-10 | Microsoft Technology Licensing, Llc | Computerized natural language query intent dispatching |
US10043516B2 (en) | 2016-09-23 | 2018-08-07 | Apple Inc. | Intelligent automated assistant |
JP6697373B2 (ja) | 2016-12-06 | 2020-05-20 | カシオ計算機株式会社 | 文生成装置、文生成方法及びプログラム |
US10593346B2 (en) | 2016-12-22 | 2020-03-17 | Apple Inc. | Rank-reduced token representation for automatic speech recognition |
US11204787B2 (en) | 2017-01-09 | 2021-12-21 | Apple Inc. | Application integration with a digital assistant |
CN110249326B (zh) * | 2017-02-08 | 2023-07-14 | 微软技术许可有限责任公司 | 自然语言内容生成器 |
US10643601B2 (en) * | 2017-02-09 | 2020-05-05 | Semantic Machines, Inc. | Detection mechanism for automated dialog systems |
US10586530B2 (en) | 2017-02-23 | 2020-03-10 | Semantic Machines, Inc. | Expandable dialogue system |
CN116991971A (zh) * | 2017-02-23 | 2023-11-03 | 微软技术许可有限责任公司 | 可扩展对话系统 |
US10798027B2 (en) * | 2017-03-05 | 2020-10-06 | Microsoft Technology Licensing, Llc | Personalized communications using semantic memory |
US10237209B2 (en) * | 2017-05-08 | 2019-03-19 | Google Llc | Initializing a conversation with an automated agent via selectable graphical element |
US10417266B2 (en) | 2017-05-09 | 2019-09-17 | Apple Inc. | Context-aware ranking of intelligent response suggestions |
DK201770383A1 (en) | 2017-05-09 | 2018-12-14 | Apple Inc. | USER INTERFACE FOR CORRECTING RECOGNITION ERRORS |
DK180048B1 (en) | 2017-05-11 | 2020-02-04 | Apple Inc. | MAINTAINING THE DATA PROTECTION OF PERSONAL INFORMATION |
DK201770439A1 (en) | 2017-05-11 | 2018-12-13 | Apple Inc. | Offline personal assistant |
US10395654B2 (en) | 2017-05-11 | 2019-08-27 | Apple Inc. | Text normalization based on a data-driven learning network |
US10726832B2 (en) | 2017-05-11 | 2020-07-28 | Apple Inc. | Maintaining privacy of personal information |
DK179496B1 (en) | 2017-05-12 | 2019-01-15 | Apple Inc. | USER-SPECIFIC Acoustic Models |
US11301477B2 (en) | 2017-05-12 | 2022-04-12 | Apple Inc. | Feedback analysis of a digital assistant |
DK201770428A1 (en) | 2017-05-12 | 2019-02-18 | Apple Inc. | LOW-LATENCY INTELLIGENT AUTOMATED ASSISTANT |
DK179745B1 (en) | 2017-05-12 | 2019-05-01 | Apple Inc. | SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT |
DK201770431A1 (en) | 2017-05-15 | 2018-12-20 | Apple Inc. | Optimizing dialogue policy decisions for digital assistants using implicit feedback |
DK201770411A1 (en) | 2017-05-15 | 2018-12-20 | Apple Inc. | MULTI-MODAL INTERFACES |
DK201770432A1 (en) | 2017-05-15 | 2018-12-21 | Apple Inc. | Hierarchical belief states for digital assistants |
US10403278B2 (en) | 2017-05-16 | 2019-09-03 | Apple Inc. | Methods and systems for phonetic matching in digital assistant services |
US10303715B2 (en) | 2017-05-16 | 2019-05-28 | Apple Inc. | Intelligent automated assistant for media exploration |
DK179549B1 (en) | 2017-05-16 | 2019-02-12 | Apple Inc. | FAR-FIELD EXTENSION FOR DIGITAL ASSISTANT SERVICES |
US20180336892A1 (en) | 2017-05-16 | 2018-11-22 | Apple Inc. | Detecting a trigger of a digital assistant |
US10311144B2 (en) | 2017-05-16 | 2019-06-04 | Apple Inc. | Emoji word sense disambiguation |
US10664533B2 (en) * | 2017-05-24 | 2020-05-26 | Lenovo (Singapore) Pte. Ltd. | Systems and methods to determine response cue for digital assistant based on context |
US10679192B2 (en) * | 2017-05-25 | 2020-06-09 | Microsoft Technology Licensing, Llc | Assigning tasks and monitoring task performance based on context extracted from a shared contextual graph |
US10657328B2 (en) | 2017-06-02 | 2020-05-19 | Apple Inc. | Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling |
US10742435B2 (en) * | 2017-06-29 | 2020-08-11 | Google Llc | Proactive provision of new content to group chat participants |
US11132499B2 (en) | 2017-08-28 | 2021-09-28 | Microsoft Technology Licensing, Llc | Robust expandable dialogue system |
US10445429B2 (en) | 2017-09-21 | 2019-10-15 | Apple Inc. | Natural language understanding using vocabularies with compressed serialized tries |
US10755051B2 (en) | 2017-09-29 | 2020-08-25 | Apple Inc. | Rule-based natural language processing |
US10546023B2 (en) | 2017-10-03 | 2020-01-28 | Google Llc | Providing command bundle suggestions for an automated assistant |
US10636424B2 (en) | 2017-11-30 | 2020-04-28 | Apple Inc. | Multi-turn canned dialog |
CN110019718B (zh) * | 2017-12-15 | 2021-04-09 | 上海智臻智能网络科技股份有限公司 | 修改多轮问答系统的方法、终端设备以及存储介质 |
US11341422B2 (en) | 2017-12-15 | 2022-05-24 | SHANGHAI XIAOl ROBOT TECHNOLOGY CO., LTD. | Multi-round questioning and answering methods, methods for generating a multi-round questioning and answering system, and methods for modifying the system |
US10733982B2 (en) | 2018-01-08 | 2020-08-04 | Apple Inc. | Multi-directional dialog |
US10839160B2 (en) * | 2018-01-19 | 2020-11-17 | International Business Machines Corporation | Ontology-based automatic bootstrapping of state-based dialog systems |
US10733375B2 (en) | 2018-01-31 | 2020-08-04 | Apple Inc. | Knowledge-based framework for improving natural language understanding |
US10789959B2 (en) | 2018-03-02 | 2020-09-29 | Apple Inc. | Training speaker recognition models for digital assistants |
US10592604B2 (en) | 2018-03-12 | 2020-03-17 | Apple Inc. | Inverse text normalization for automatic speech recognition |
KR102635811B1 (ko) * | 2018-03-19 | 2024-02-13 | 삼성전자 주식회사 | 사운드 데이터를 처리하는 시스템 및 시스템의 제어 방법 |
US10818288B2 (en) | 2018-03-26 | 2020-10-27 | Apple Inc. | Natural assistant interaction |
US10909331B2 (en) | 2018-03-30 | 2021-02-02 | Apple Inc. | Implicit identification of translation payload with neural machine translation |
US11145294B2 (en) | 2018-05-07 | 2021-10-12 | Apple Inc. | Intelligent automated assistant for delivering content from user experiences |
US10928918B2 (en) | 2018-05-07 | 2021-02-23 | Apple Inc. | Raise to speak |
US10984780B2 (en) | 2018-05-21 | 2021-04-20 | Apple Inc. | Global semantic word embeddings using bi-directional recurrent neural networks |
US11386266B2 (en) | 2018-06-01 | 2022-07-12 | Apple Inc. | Text correction |
DK201870355A1 (en) | 2018-06-01 | 2019-12-16 | Apple Inc. | VIRTUAL ASSISTANT OPERATION IN MULTI-DEVICE ENVIRONMENTS |
US10892996B2 (en) | 2018-06-01 | 2021-01-12 | Apple Inc. | Variable latency device coordination |
DK180639B1 (en) | 2018-06-01 | 2021-11-04 | Apple Inc | DISABILITY OF ATTENTION-ATTENTIVE VIRTUAL ASSISTANT |
DK179822B1 (da) | 2018-06-01 | 2019-07-12 | Apple Inc. | Voice interaction at a primary device to access call functionality of a companion device |
US10496705B1 (en) | 2018-06-03 | 2019-12-03 | Apple Inc. | Accelerated task performance |
JP7018589B2 (ja) | 2018-08-29 | 2022-02-14 | パナソニックIpマネジメント株式会社 | 電力変換システム及び蓄電システム |
US11010561B2 (en) | 2018-09-27 | 2021-05-18 | Apple Inc. | Sentiment prediction from textual data |
US10839159B2 (en) | 2018-09-28 | 2020-11-17 | Apple Inc. | Named entity normalization in a spoken dialog system |
US11462215B2 (en) | 2018-09-28 | 2022-10-04 | Apple Inc. | Multi-modal inputs for voice commands |
US11170166B2 (en) | 2018-09-28 | 2021-11-09 | Apple Inc. | Neural typographical error modeling via generative adversarial networks |
US11475898B2 (en) | 2018-10-26 | 2022-10-18 | Apple Inc. | Low-latency multi-speaker speech recognition |
US11638059B2 (en) | 2019-01-04 | 2023-04-25 | Apple Inc. | Content playback on multiple devices |
CN111428721A (zh) * | 2019-01-10 | 2020-07-17 | 北京字节跳动网络技术有限公司 | 词语释义的确定方法、装置、设备及存储介质 |
US11348573B2 (en) | 2019-03-18 | 2022-05-31 | Apple Inc. | Multimodality in digital assistant systems |
DK201970509A1 (en) | 2019-05-06 | 2021-01-15 | Apple Inc | Spoken notifications |
US11475884B2 (en) | 2019-05-06 | 2022-10-18 | Apple Inc. | Reducing digital assistant latency when a language is incorrectly determined |
US11423908B2 (en) | 2019-05-06 | 2022-08-23 | Apple Inc. | Interpreting spoken requests |
US11307752B2 (en) | 2019-05-06 | 2022-04-19 | Apple Inc. | User configurable task triggers |
US11140099B2 (en) | 2019-05-21 | 2021-10-05 | Apple Inc. | Providing message response suggestions |
DK201970511A1 (en) | 2019-05-31 | 2021-02-15 | Apple Inc | Voice identification in digital assistant systems |
DK180129B1 (en) | 2019-05-31 | 2020-06-02 | Apple Inc. | USER ACTIVITY SHORTCUT SUGGESTIONS |
US11496600B2 (en) | 2019-05-31 | 2022-11-08 | Apple Inc. | Remote execution of machine-learned models |
US11289073B2 (en) | 2019-05-31 | 2022-03-29 | Apple Inc. | Device text to speech |
US11227599B2 (en) | 2019-06-01 | 2022-01-18 | Apple Inc. | Methods and user interfaces for voice-based control of electronic devices |
US11360641B2 (en) | 2019-06-01 | 2022-06-14 | Apple Inc. | Increasing the relevance of new available information |
WO2021056255A1 (en) | 2019-09-25 | 2021-04-01 | Apple Inc. | Text detection using global geometry estimators |
AU2021226758B2 (en) * | 2020-02-25 | 2023-07-20 | Liveperson, Inc. | Intent analysis for call center response generation |
US11183193B1 (en) | 2020-05-11 | 2021-11-23 | Apple Inc. | Digital assistant hardware abstraction |
US11061543B1 (en) | 2020-05-11 | 2021-07-13 | Apple Inc. | Providing relevant data items based on context |
US11755276B2 (en) | 2020-05-12 | 2023-09-12 | Apple Inc. | Reducing description length based on confidence |
US11490204B2 (en) | 2020-07-20 | 2022-11-01 | Apple Inc. | Multi-device audio adjustment coordination |
US11438683B2 (en) | 2020-07-21 | 2022-09-06 | Apple Inc. | User identification using headphones |
US11783827B2 (en) | 2020-11-06 | 2023-10-10 | Apple Inc. | Determining suggested subsequent user actions during digital assistant interaction |
EP4174848A1 (en) * | 2021-10-29 | 2023-05-03 | Televic Rail NV | Improved speech to text method and system |
CN116644810B (zh) * | 2023-05-06 | 2024-04-05 | 国网冀北电力有限公司信息通信分公司 | 一种基于知识图谱实现的电网故障风险处置方法及装置 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050289124A1 (en) * | 2004-06-29 | 2005-12-29 | Matthias Kaiser | Systems and methods for processing natural language queries |
US20060293874A1 (en) * | 2005-06-27 | 2006-12-28 | Microsoft Corporation | Translation and capture architecture for output of conversational utterances |
WO2007064482A1 (en) | 2005-11-30 | 2007-06-07 | Microsoft Corporation | Adaptive semantic reasoning engine |
US20070136222A1 (en) | 2005-12-09 | 2007-06-14 | Microsoft Corporation | Question and answer architecture for reasoning and clarifying intentions, goals, and needs from contextual clues and content |
US20080201434A1 (en) | 2007-02-16 | 2008-08-21 | Microsoft Corporation | Context-Sensitive Searches and Functionality for Instant Messaging Applications |
US20090055380A1 (en) * | 2007-08-22 | 2009-02-26 | Fuchun Peng | Predictive Stemming for Web Search with Statistical Machine Translation Models |
US7720856B2 (en) * | 2007-04-09 | 2010-05-18 | Sap Ag | Cross-language searching |
Family Cites Families (65)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5265014A (en) * | 1990-04-10 | 1993-11-23 | Hewlett-Packard Company | Multi-modal user interface |
US5748974A (en) * | 1994-12-13 | 1998-05-05 | International Business Machines Corporation | Multimodal natural language interface for cross-application tasks |
US5970446A (en) * | 1997-11-25 | 1999-10-19 | At&T Corp | Selective noise/channel/coding models and recognizers for automatic speech recognition |
EP1116134A1 (en) * | 1998-08-24 | 2001-07-18 | BCL Computers, Inc. | Adaptive natural language interface |
US6499013B1 (en) * | 1998-09-09 | 2002-12-24 | One Voice Technologies, Inc. | Interactive user interface using speech recognition and natural language processing |
US6332120B1 (en) * | 1999-04-20 | 2001-12-18 | Solana Technology Development Corporation | Broadcast speech recognition system for keyword monitoring |
JP3530109B2 (ja) * | 1999-05-31 | 2004-05-24 | 日本電信電話株式会社 | 大規模情報データベースに対する音声対話型情報検索方法、装置および記録媒体 |
WO2000073900A1 (en) * | 1999-06-01 | 2000-12-07 | Jacquez Geoffrey M | Help system for a computer related application |
US6598039B1 (en) * | 1999-06-08 | 2003-07-22 | Albert-Inc. S.A. | Natural language interface for searching database |
JP3765202B2 (ja) * | 1999-07-09 | 2006-04-12 | 日産自動車株式会社 | 対話型情報検索装置、コンピュータを用いた対話型情報検索方法及び対話型情報検索処理を行うプログラムを記録したコンピュータ読取り可能な媒体 |
JP2001125896A (ja) * | 1999-10-26 | 2001-05-11 | Victor Co Of Japan Ltd | 自然言語対話システム |
US7050977B1 (en) * | 1999-11-12 | 2006-05-23 | Phoenix Solutions, Inc. | Speech-enabled server for internet website and method |
JP2002024285A (ja) * | 2000-06-30 | 2002-01-25 | Sanyo Electric Co Ltd | ユーザ支援方法およびユーザ支援装置 |
JP2002082748A (ja) * | 2000-09-06 | 2002-03-22 | Sanyo Electric Co Ltd | ユーザ支援装置 |
US7197120B2 (en) * | 2000-12-22 | 2007-03-27 | Openwave Systems Inc. | Method and system for facilitating mediated communication |
GB2372864B (en) * | 2001-02-28 | 2005-09-07 | Vox Generation Ltd | Spoken language interface |
JP2003115951A (ja) * | 2001-10-09 | 2003-04-18 | Casio Comput Co Ltd | 話題情報提供システムおよび話題情報提供方法 |
US7224981B2 (en) * | 2002-06-20 | 2007-05-29 | Intel Corporation | Speech recognition of mobile devices |
US7693720B2 (en) * | 2002-07-15 | 2010-04-06 | Voicebox Technologies, Inc. | Mobile systems and methods for responding to natural language speech utterance |
EP1411443A1 (en) * | 2002-10-18 | 2004-04-21 | Hewlett Packard Company, a Delaware Corporation | Context filter |
JP2004212641A (ja) * | 2002-12-27 | 2004-07-29 | Toshiba Corp | 音声入力システム及び音声入力システムを備えた端末装置 |
JP2004328181A (ja) * | 2003-04-23 | 2004-11-18 | Sharp Corp | 電話機及び電話網システム |
JP4441782B2 (ja) * | 2003-05-14 | 2010-03-31 | 日本電信電話株式会社 | 情報提示方法及び情報提示装置 |
JP2005043461A (ja) * | 2003-07-23 | 2005-02-17 | Canon Inc | 音声認識方法及び音声認識装置 |
KR20050032649A (ko) * | 2003-10-02 | 2005-04-08 | (주)이즈메이커 | 인공생명을 학습시키는 방법 및 시스템 |
US7747601B2 (en) * | 2006-08-14 | 2010-06-29 | Inquira, Inc. | Method and apparatus for identifying and classifying query intent |
JP4434972B2 (ja) * | 2005-01-21 | 2010-03-17 | 日本電気株式会社 | 情報提供システム、情報提供方法及びそのプログラム |
ATE510259T1 (de) * | 2005-01-31 | 2011-06-15 | Ontoprise Gmbh | Abbilden von web-diensten auf ontologien |
GB0502259D0 (en) * | 2005-02-03 | 2005-03-09 | British Telecomm | Document searching tool and method |
CN101120341A (zh) * | 2005-02-06 | 2008-02-06 | 凌圭特股份有限公司 | 以自然语言进行移动式信息访问的方法和设备 |
US7409344B2 (en) * | 2005-03-08 | 2008-08-05 | Sap Aktiengesellschaft | XML based architecture for controlling user interfaces with contextual voice commands |
US20060206333A1 (en) * | 2005-03-08 | 2006-09-14 | Microsoft Corporation | Speaker-dependent dialog adaptation |
WO2006108061A2 (en) * | 2005-04-05 | 2006-10-12 | The Board Of Trustees Of Leland Stanford Junior University | Methods, software, and systems for knowledge base coordination |
US7640160B2 (en) * | 2005-08-05 | 2009-12-29 | Voicebox Technologies, Inc. | Systems and methods for responding to natural language speech utterance |
US7620549B2 (en) * | 2005-08-10 | 2009-11-17 | Voicebox Technologies, Inc. | System and method of supporting adaptive misrecognition in conversational speech |
US7627466B2 (en) * | 2005-11-09 | 2009-12-01 | Microsoft Corporation | Natural language interface for driving adaptive scenarios |
US20070143410A1 (en) * | 2005-12-16 | 2007-06-21 | International Business Machines Corporation | System and method for defining and translating chat abbreviations |
CN100373313C (zh) * | 2006-01-12 | 2008-03-05 | 广东威创视讯科技股份有限公司 | 一种用于交互式输入设备的智能识别编码方法 |
US8209407B2 (en) * | 2006-02-10 | 2012-06-26 | The United States Of America, As Represented By The Secretary Of The Navy | System and method for web service discovery and access |
AU2007260783B2 (en) * | 2006-06-13 | 2011-09-01 | Microsoft Corporation | Search engine dash-board |
US20080005068A1 (en) * | 2006-06-28 | 2008-01-03 | Microsoft Corporation | Context-based search, retrieval, and awareness |
CN1963752A (zh) * | 2006-11-28 | 2007-05-16 | 李博航 | 基于自然语言的电子设备人机交互操作界面技术 |
EP2122542B1 (en) * | 2006-12-08 | 2017-11-01 | Medhat Moussa | Architecture, system and method for artificial neural network implementation |
US20080172359A1 (en) * | 2007-01-11 | 2008-07-17 | Motorola, Inc. | Method and apparatus for providing contextual support to a monitored communication |
US20080172659A1 (en) | 2007-01-17 | 2008-07-17 | Microsoft Corporation | Harmonizing a test file and test configuration in a revision control system |
US20090076917A1 (en) * | 2007-08-22 | 2009-03-19 | Victor Roditis Jablokov | Facilitating presentation of ads relating to words of a message |
US8762143B2 (en) * | 2007-05-29 | 2014-06-24 | At&T Intellectual Property Ii, L.P. | Method and apparatus for identifying acoustic background environments based on time and speed to enhance automatic speech recognition |
WO2009029905A2 (en) * | 2007-08-31 | 2009-03-05 | Powerset, Inc. | Identification of semantic relationships within reported speech |
US8165886B1 (en) * | 2007-10-04 | 2012-04-24 | Great Northern Research LLC | Speech interface system and method for control and interaction with applications on a computing system |
US8504621B2 (en) * | 2007-10-26 | 2013-08-06 | Microsoft Corporation | Facilitating a decision-making process |
JP2009116733A (ja) * | 2007-11-08 | 2009-05-28 | Nec Corp | アプリケーション検索システム、アプリケーション検索方法、モニタ端末、検索サーバおよびプログラム |
JP5158635B2 (ja) * | 2008-02-28 | 2013-03-06 | インターナショナル・ビジネス・マシーンズ・コーポレーション | パーソナル・サービス支援のための方法、システム、および装置 |
US20090234655A1 (en) * | 2008-03-13 | 2009-09-17 | Jason Kwon | Mobile electronic device with active speech recognition |
WO2009129315A1 (en) * | 2008-04-15 | 2009-10-22 | Mobile Technologies, Llc | System and methods for maintaining speech-to-speech translation in the field |
CN101499277B (zh) * | 2008-07-25 | 2011-05-04 | 中国科学院计算技术研究所 | 一种服务智能导航方法和系统 |
US8874443B2 (en) * | 2008-08-27 | 2014-10-28 | Robert Bosch Gmbh | System and method for generating natural language phrases from user utterances in dialog systems |
JP2010128665A (ja) * | 2008-11-26 | 2010-06-10 | Kyocera Corp | 情報端末及び会話補助プログラム |
JP2010145262A (ja) * | 2008-12-19 | 2010-07-01 | Pioneer Electronic Corp | ナビゲーション装置 |
US8326637B2 (en) * | 2009-02-20 | 2012-12-04 | Voicebox Technologies, Inc. | System and method for processing multi-modal device interactions in a natural language voice services environment |
JP2010230918A (ja) * | 2009-03-26 | 2010-10-14 | Fujitsu Ten Ltd | 検索装置 |
US8700665B2 (en) * | 2009-04-27 | 2014-04-15 | Avaya Inc. | Intelligent conference call information agents |
US20100281435A1 (en) * | 2009-04-30 | 2010-11-04 | At&T Intellectual Property I, L.P. | System and method for multimodal interaction using robust gesture processing |
KR101622111B1 (ko) * | 2009-12-11 | 2016-05-18 | 삼성전자 주식회사 | 대화 시스템 및 그의 대화 방법 |
KR101007336B1 (ko) * | 2010-06-25 | 2011-01-13 | 한국과학기술정보연구원 | 온톨로지 기반 개인화 서비스 시스템 및 방법 |
US20120253789A1 (en) | 2011-03-31 | 2012-10-04 | Microsoft Corporation | Conversational Dialog Learning and Correction |
-
2012
- 2012-03-27 EP EP12764494.6A patent/EP2691870A4/en not_active Ceased
- 2012-03-27 WO PCT/US2012/030740 patent/WO2012135218A2/en active Application Filing
- 2012-03-27 EP EP12765896.1A patent/EP2691877A4/en not_active Withdrawn
- 2012-03-27 WO PCT/US2012/030636 patent/WO2012135157A2/en unknown
- 2012-03-27 EP EP12763866.6A patent/EP2691949A4/en not_active Ceased
- 2012-03-27 WO PCT/US2012/030751 patent/WO2012135226A1/en unknown
- 2012-03-27 JP JP2014502723A patent/JP6087899B2/ja not_active Expired - Fee Related
- 2012-03-27 KR KR20137025578A patent/KR20140014200A/ko not_active Application Discontinuation
- 2012-03-27 JP JP2014502721A patent/JP2014512046A/ja active Pending
- 2012-03-27 KR KR1020137025586A patent/KR101963915B1/ko active IP Right Grant
- 2012-03-27 JP JP2014502718A patent/JP6105552B2/ja active Active
- 2012-03-27 KR KR1020137025540A patent/KR101922744B1/ko active IP Right Grant
- 2012-03-27 WO PCT/US2012/030757 patent/WO2012135229A2/en active Application Filing
- 2012-03-27 WO PCT/US2012/030730 patent/WO2012135210A2/en unknown
- 2012-03-27 EP EP12763913.6A patent/EP2691885A4/en not_active Ceased
- 2012-03-29 CN CN201210087420.9A patent/CN102737096B/zh active Active
- 2012-03-29 CN CN201610801496.1A patent/CN106383866B/zh active Active
- 2012-03-30 EP EP12764853.3A patent/EP2691875A4/en not_active Ceased
- 2012-03-30 CN CN201210090634.1A patent/CN102750311B/zh active Active
- 2012-03-30 CN CN201210090349.XA patent/CN102737099B/zh active Active
- 2012-03-30 CN CN201210091176.3A patent/CN102737101B/zh active Active
- 2012-03-30 EP EP12765100.8A patent/EP2691876A4/en not_active Ceased
- 2012-03-30 WO PCT/US2012/031722 patent/WO2012135783A2/en unknown
- 2012-03-30 WO PCT/US2012/031736 patent/WO2012135791A2/en unknown
- 2012-03-31 CN CN201210092263.0A patent/CN102750270B/zh active Active
- 2012-03-31 CN CN201210093414.4A patent/CN102737104B/zh active Active
- 2012-03-31 CN CN201210101485.4A patent/CN102750271B/zh not_active Expired - Fee Related
-
2017
- 2017-03-01 JP JP2017038097A patent/JP6305588B2/ja active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050289124A1 (en) * | 2004-06-29 | 2005-12-29 | Matthias Kaiser | Systems and methods for processing natural language queries |
US20060293874A1 (en) * | 2005-06-27 | 2006-12-28 | Microsoft Corporation | Translation and capture architecture for output of conversational utterances |
WO2007064482A1 (en) | 2005-11-30 | 2007-06-07 | Microsoft Corporation | Adaptive semantic reasoning engine |
US20070136222A1 (en) | 2005-12-09 | 2007-06-14 | Microsoft Corporation | Question and answer architecture for reasoning and clarifying intentions, goals, and needs from contextual clues and content |
US20080201434A1 (en) | 2007-02-16 | 2008-08-21 | Microsoft Corporation | Context-Sensitive Searches and Functionality for Instant Messaging Applications |
US7720856B2 (en) * | 2007-04-09 | 2010-05-18 | Sap Ag | Cross-language searching |
US20090055380A1 (en) * | 2007-08-22 | 2009-02-26 | Fuchun Peng | Predictive Stemming for Web Search with Statistical Machine Translation Models |
Non-Patent Citations (4)
Title |
---|
C. KOLSKI ET AL.: "A Review of Intelligent Human-Machine Interfaces in the Light of the ARCH Model", INTERNATIONAL JOUNAL OF HUMAN-COMPUTER INTERACTION, vol. 10, no. 3, 1 September 1998 (1998-09-01), pages 103 - 231, XP055208889, DOI: doi:10.1207/s15327590ijhc1003_1 |
K. PANTON ET AL.: "Common Sense Reasoning - From Cyc to Intelligent Assistant", AMBIENT INTELLIGENCE IN EVERYDAY LIFE LECTURE NOTES IN COMPUTER SCIENCE, 1 January 2006 (2006-01-01), pages 1 - 31, XP019039257, DOI: doi:10.1007/11825890_1 |
MATTHIAS KLUSCH: "Information agent technology for the Internet: A survey", DATA AND KNOWLEDGE ENGINEERING, vol. 36, 1 March 2001 (2001-03-01), pages 337 - 372, XP002263033, DOI: doi:10.1016/S0169-023X(00)00049-5 |
See also references of EP2691885A4 * |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11704136B1 (en) | 2014-07-11 | 2023-07-18 | Google Llc | Automatic reminders in a mobile environment |
US10652706B1 (en) | 2014-07-11 | 2020-05-12 | Google Llc | Entity disambiguation in a mobile environment |
US10311869B2 (en) | 2014-10-21 | 2019-06-04 | Robert Bosch Gmbh | Method and system for automation of response selection and composition in dialog systems |
EP3210096A4 (en) * | 2014-10-21 | 2018-07-04 | Robert Bosch GmbH | Method and system for automation of response selection and composition in dialog systems |
KR20160056591A (ko) * | 2014-11-12 | 2016-05-20 | 삼성전자주식회사 | 질의를 처리하는 장치 및 방법 |
EP3218825A4 (en) * | 2014-11-12 | 2017-10-25 | Samsung Electronics Co., Ltd. | Apparatus and method for processing query |
KR102329333B1 (ko) | 2014-11-12 | 2021-11-23 | 삼성전자주식회사 | 질의를 처리하는 장치 및 방법 |
US10482082B2 (en) | 2014-11-12 | 2019-11-19 | Samsung Electronics Co., Ltd. | Apparatus and method for processing query |
CN109219812B (zh) * | 2016-06-03 | 2023-12-12 | 微软技术许可有限责任公司 | 口语对话系统中的自然语言生成 |
CN109219812A (zh) * | 2016-06-03 | 2019-01-15 | 马鲁巴公司 | 口语对话系统中的自然语言生成 |
US10282218B2 (en) | 2016-06-07 | 2019-05-07 | Google Llc | Nondeterministic task initiation by a personal assistant module |
CN107481719A (zh) * | 2016-06-07 | 2017-12-15 | 谷歌公司 | 个人助理模块的非确定性任务发起 |
GB2551216A (en) * | 2016-06-07 | 2017-12-13 | Google Inc | Nondeterministic task initiation by a personal assistant module |
US20170351532A1 (en) * | 2016-06-07 | 2017-12-07 | Google Inc. | Nondeterministic task initiation by a personal assistant module |
US9940390B1 (en) | 2016-09-27 | 2018-04-10 | Microsoft Technology Licensing, Llc | Control system using scoped search and conversational interface |
WO2018063862A1 (en) * | 2016-09-27 | 2018-04-05 | Microsoft Technology Licensing, Llc | Control system using scoped search and conversational interface |
WO2018063924A1 (en) * | 2016-09-29 | 2018-04-05 | Microsoft Technology Licensing, Llc | Conversational data analysis |
US11423229B2 (en) | 2016-09-29 | 2022-08-23 | Microsoft Technology Licensing, Llc | Conversational data analysis |
US10535005B1 (en) | 2016-10-26 | 2020-01-14 | Google Llc | Providing contextual actions for mobile onscreen content |
US11734581B1 (en) | 2016-10-26 | 2023-08-22 | Google Llc | Providing contextual actions for mobile onscreen content |
WO2019199516A1 (en) * | 2018-04-11 | 2019-10-17 | Motorola Solutions, Inc. | System and method for tailoring an electronic digital assistant query as a function of captured multi-party voice dialog and an electronically stored multi-party voice-interaction template |
US10685075B2 (en) | 2018-04-11 | 2020-06-16 | Motorola Solutions, Inc. | System and method for tailoring an electronic digital assistant query as a function of captured multi-party voice dialog and an electronically stored multi-party voice-interaction template |
Also Published As
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10642934B2 (en) | Augmented conversational understanding architecture | |
JP6305588B2 (ja) | 拡張された会話理解アーキテクチャ | |
US10585957B2 (en) | Task driven user intents | |
US10733983B2 (en) | Parameter collection and automatic dialog generation in dialog systems | |
US10296587B2 (en) | Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof | |
US9858343B2 (en) | Personalization of queries, conversations, and searches | |
US10049667B2 (en) | Location-based conversational understanding | |
US20120253789A1 (en) | Conversational Dialog Learning and Correction | |
US10601755B2 (en) | Incorporating selectable application links into conversations with personal assistant modules | |
JP2019503526A5 (ja) | ||
EP3559943B1 (en) | Language model biasing | |
JP2012022453A (ja) | 対話装置及びプログラム |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 12763913 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 20137025586 Country of ref document: KR Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 2014502721 Country of ref document: JP Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |