CN114155846A

CN114155846A - Semantic slot extraction method and display device

Info

Publication number: CN114155846A
Application number: CN202010831548.6A
Authority: CN
Inventors: 修媛媛; 杨善松; 沈承恩; 陈冉
Original assignee: Hisense Visual Technology Co Ltd
Current assignee: Hisense Visual Technology Co Ltd
Priority date: 2020-08-18
Filing date: 2020-08-18
Publication date: 2022-03-08

Abstract

The application discloses a semantic slot extraction method and display equipment, which improve the accuracy of semantic slot extraction. The method comprises the following steps: responding to a request sent by a user, performing semantic slot position analysis of deep learning on the request, and determining a first semantic slot; detecting whether a first semantic slot of the request has errors, and if so, modifying the content corresponding to the first semantic slot in the request to obtain a modified request; performing grammar semantic slot position analysis on the modified request to determine a second semantic slot; and combining the first semantic slot and the second semantic slot to obtain the requested semantic slot.

Description

Semantic slot extraction method and display device

Technical Field

The application relates to the field of semantic slots, in particular to a semantic slot extraction method and display equipment.

Background

With the rapid development of artificial intelligence, voice interaction becomes the sign of intelligent products. Semantic understanding, i.e., semantic slot extraction, is the basis for voice interaction. Generally, the semantic slot is used as a keyword for searching, and content which a user wants to view can be searched. However, the main problem of inaccurate semantic understanding based on speech recognition at present is three points, the first is that a text obtained by semantic understanding is wrong due to a user expression error or a speech recognition problem, which brings a certain difficulty to semantic understanding, and for example, when a user requests for query through speech, a difference exists between a recognized text and a user expectation due to wrong recording and inaccurate recording of a movie name expected to be retrieved, or due to dialect, speech recognition noise and the like; the second is the diversity of the language expression itself, which also brings difficulty to the semantic understanding; the third is that due to the rapid development of the current internet, the appearance of various new video names and music names brings challenges to the current semantic understanding based on word stock.

Therefore, how to accurately extract the semantic slots and improve the accuracy of semantic understanding becomes a problem to be solved urgently by the technical personnel in the field.

Disclosure of Invention

The embodiment of the application provides a semantic slot extraction method and display equipment, and the semantic slot extraction accuracy is improved.

In a first aspect, there is provided a display device comprising:

a display;

a controller for performing: responding to a request sent by a user, performing semantic slot position analysis of deep learning on the request, and determining a first semantic slot;

detecting whether a first semantic slot of the request has errors, and if so, modifying the content corresponding to the first semantic slot in the request to obtain a modified request;

performing grammar semantic slot position analysis on the modified request to determine a second semantic slot;

and combining the first semantic slot and the second semantic slot to obtain the requested semantic slot.

In some embodiments, the controller is further configured to perform:

if no error occurs, directly performing grammar semantic slot position analysis on the request to determine a third semantic slot;

and combining the first semantic slot and the third semantic slot to obtain the semantic slot of the request.

In some embodiments, the modifying the content corresponding to the first semantic slot in the request to obtain a modified request includes:

searching for alternative content corresponding to the first semantic slot;

replacing the content corresponding to the first semantic slot in the request by using the replacement content to form a request to be determined;

if the number of the requests to be determined is one, determining that the requests to be determined are modified requests;

in some embodiments, the modifying the content corresponding to the first semantic slot in the request to obtain a modified request further includes:

and if the number of the requests to be determined is more than one, screening out an optimal request to be determined from the plurality of requests to be determined as a modified request.

In some embodiments, the step of finding alternative content corresponding to the first semantic slot comprises:

determining the service field of the request;

and determining the replacement content corresponding to the first semantic slot by utilizing the pinyin index, the font index, the sound-shape code index and the semantic index according to the service field.

In a second aspect, a semantic slot extraction method is provided, including:

responding to a request sent by a user, performing semantic slot position analysis of deep learning on the request, and determining a first semantic slot;

In some embodiments, the method further comprises:

if no error occurs, directly performing grammar semantic slot position analysis on the request to determine a third semantic slot; and combining the first semantic slot and the third semantic slot to obtain the semantic slot of the request.

searching for alternative content corresponding to the first semantic slot;

and if the number of the requests to be determined is one, determining that the requests to be determined are modified requests.

determining the service field of the request;

In the embodiment, the semantic slot extraction method and the display device improve the semantic slot extraction accuracy. The method comprises the following steps: responding to a request sent by a user, performing semantic slot position analysis of deep learning on the request, and determining a first semantic slot; detecting whether a first semantic slot of the request has errors, and if so, modifying the content corresponding to the first semantic slot in the request to obtain a modified request; performing grammar semantic slot position analysis on the modified request to determine a second semantic slot; and combining the first semantic slot and the second semantic slot to obtain the requested semantic slot.

Drawings

Fig. 1 is a schematic diagram illustrating an operational scenario between a display device and a control apparatus according to some embodiments;

a block diagram of a hardware configuration of a display device 200 according to some embodiments is illustrated in fig. 2;

a block diagram of the hardware configuration of the control device 100 according to some embodiments is illustrated in fig. 3;

a schematic diagram of a software configuration in a display device 200 according to some embodiments is illustrated in fig. 4;

FIG. 5 illustrates an icon control interface display diagram of an application in the display device 200, according to some embodiments;

FIG. 6 is a flow chart illustrating a semantic slot extraction method;

FIG. 7 illustrates a schematic diagram of semantic slot parsing for deep learning;

a flow chart of another semantic slot extraction method is illustrated in fig. 8.

Detailed Description

To make the objects, embodiments and advantages of the present application clearer, the following description of exemplary embodiments of the present application will clearly and completely describe the exemplary embodiments of the present application with reference to the accompanying drawings in the exemplary embodiments of the present application, and it is to be understood that the described exemplary embodiments are only a part of the embodiments of the present application, and not all of the embodiments.

All other embodiments, which can be derived by a person skilled in the art from the exemplary embodiments described herein without inventive step, are intended to be within the scope of the claims appended hereto. In addition, while the disclosure herein has been presented in terms of one or more exemplary examples, it should be appreciated that aspects of the disclosure may be implemented solely as a complete embodiment.

It should be noted that the brief descriptions of the terms in the present application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of the present application. These terms should be understood in their ordinary and customary meaning unless otherwise indicated.

The terms "first", "second", "third", and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between similar or analogous objects or entities and are not necessarily meant to define a particular order or sequence Unless otherwise indicated. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein.

Furthermore, the terms "comprises" and "comprising," as well as any variations thereof, are intended to cover a non-exclusive inclusion, such that a product or device that comprises a list of elements is not necessarily limited to those elements explicitly listed, but may include other elements not expressly listed or inherent to such product or device.

The term "module" as used herein refers to any known or later developed hardware, software, firmware, artificial intelligence, fuzzy logic, or combination of hardware and/or software code that is capable of performing the functionality associated with that element.

The term "remote control" as used in this application refers to a component of an electronic device, such as the display device disclosed in this application, that is typically wirelessly controllable over a short range of distances. Typically using infrared and/or Radio Frequency (RF) signals and/or bluetooth to connect with the electronic device, and may also include WiFi, wireless USB, bluetooth, motion sensor, etc. For example: the hand-held touch remote controller replaces most of the physical built-in hard keys in the common remote control device with the user interface in the touch screen.

The term "gesture" as used in this application refers to a user's behavior through a change in hand shape or an action such as hand motion to convey a desired idea, action, purpose, or result.

Fig. 1 is a schematic diagram illustrating an operation scenario between a display device and a control apparatus according to an embodiment. As shown in fig. 1, a user may operate the display device 200 through the mobile terminal 300 and the control apparatus 100.

In some embodiments, the control apparatus 100 may be a remote controller, and the communication between the remote controller and the display device includes an infrared protocol communication or a bluetooth protocol communication, and other short-distance communication methods, etc., and the display device 200 is controlled by wireless or other wired methods. The user may input a user command through a key on a remote controller, voice input, control panel input, etc. to control the display apparatus 200. Such as: the user can input a corresponding control command through a volume up/down key, a channel control key, up/down/left/right moving keys, a voice input key, a menu key, a power on/off key, etc. on the remote controller, to implement the function of controlling the display device 200.

In some embodiments, mobile terminals, tablets, computers, laptops, and other smart devices may also be used to control the display device 200. For example, the display device 200 is controlled using an application program running on the smart device. The application, through configuration, may provide the user with various controls in an intuitive User Interface (UI) on a screen associated with the smart device.

In some embodiments, the mobile terminal 300 may install a software application with the display device 200 to implement connection communication through a network communication protocol for the purpose of one-to-one control operation and data communication. Such as: the mobile terminal 300 and the display device 200 can establish a control instruction protocol, synchronize a remote control keyboard to the mobile terminal 300, and control the display device 200 by controlling a user interface on the mobile terminal 300. The audio and video content displayed on the mobile terminal 300 can also be transmitted to the display device 200, so as to realize the synchronous display function.

As also shown in fig. 1, the display apparatus 200 also performs data communication with the server 400 through various communication means. The display device 200 may be allowed to be communicatively connected through a Local Area Network (LAN), a Wireless Local Area Network (WLAN), and other networks. The server 400 may provide various contents and interactions to the display apparatus 200. Illustratively, the display device 200 receives software program updates, or accesses a remotely stored digital media library, by sending and receiving information, as well as Electronic Program Guide (EPG) interactions. The server 400 may be a cluster or a plurality of clusters, and may include one or more types of servers. Other web service contents such as video on demand and advertisement services are provided through the server 400.

The display device 200 may be a liquid crystal display, an OLED display, a projection display device. The particular display device type, size, resolution, etc. are not limiting, and those skilled in the art will appreciate that the display device 200 may be modified in performance and configuration as desired.

The display apparatus 200 may additionally provide an intelligent network tv function of a computer support function including, but not limited to, a network tv, an intelligent tv, an Internet Protocol Tv (IPTV), and the like, in addition to the broadcast receiving tv function.

A hardware configuration block diagram of a display device 200 according to an exemplary embodiment is exemplarily shown in fig. 2.

In some embodiments, at least one of the controller 250, the tuner demodulator 210, the communicator 220, the detector 230, the input/output interface 255, the display 275, the audio output interface 285, the memory 260, the power supply 290, the user interface 265, and the external device interface 240 is included in the display apparatus 200.

In some embodiments, a display 275 receives image signals originating from the first processor output and displays video content and images and components of the menu manipulation interface.

In some embodiments, the display 275, includes a display screen assembly for presenting a picture, and a driving assembly that drives the display of an image.

In some embodiments, the video content is displayed from broadcast television content, or alternatively, from various broadcast signals that may be received via wired or wireless communication protocols. Alternatively, various image contents received from the network communication protocol and sent from the network server side can be displayed.

In some embodiments, the display 275 is used to present a user-manipulated UI interface generated in the display apparatus 200 and used to control the display apparatus 200.

In some embodiments, a driver assembly for driving the display is also included, depending on the type of display 275.

In some embodiments, display 275 is a projection display and may also include a projection device and a projection screen.

In some embodiments, communicator 220 is a component for communicating with external devices or external servers according to various communication protocol types. For example: the communicator may include at least one of a Wifi chip, a bluetooth communication protocol chip, a wired ethernet communication protocol chip, and other network communication protocol chips or near field communication protocol chips, and an infrared receiver.

In some embodiments, the display apparatus 200 may establish control signal and data signal transmission and reception with the external control apparatus 100 or the content providing apparatus through the communicator 220.

In some embodiments, the user interface 265 may be configured to receive infrared control signals from a control device 100 (e.g., an infrared remote control, etc.).

In some embodiments, the detector 230 is a signal used by the display device 200 to collect an external environment or interact with the outside.

In some embodiments, the detector 230 includes a light receiver, a sensor for collecting the intensity of ambient light, and parameters changes can be adaptively displayed by collecting the ambient light, and the like.

In some embodiments, the detector 230 may further include an image collector, such as a camera, etc., which may be configured to collect external environment scenes, collect attributes of the user or gestures interacted with the user, adaptively change display parameters, and recognize user gestures, so as to implement a function of interaction with the user.

In some embodiments, the detector 230 may also include a temperature sensor or the like, such as by sensing ambient temperature.

In some embodiments, the display apparatus 200 may adaptively adjust a display color temperature of an image. For example, the display apparatus 200 may be adjusted to display a cool tone when the temperature is in a high environment, or the display apparatus 200 may be adjusted to display a warm tone when the temperature is in a low environment.

In some embodiments, the detector 230 may also be a sound collector or the like, such as a microphone, which may be used to receive the user's voice. Illustratively, a voice signal including a control instruction of the user to control the display device 200, or to collect an ambient sound for recognizing an ambient scene type, so that the display device 200 can adaptively adapt to an ambient noise.

In some embodiments, as shown in fig. 2, the input/output interface 255 is configured to allow data transfer between the controller 250 and external other devices or other controllers 250. Such as receiving video signal data and audio signal data of an external device, or command instruction data, etc.

In some embodiments, the external device interface 240 may include, but is not limited to, the following: the interface can be any one or more of a high-definition multimedia interface (HDMI), an analog or data high-definition component input interface, a composite video input interface, a USB input interface, an RGB port and the like. The plurality of interfaces may form a composite input/output interface.

In some embodiments, as shown in fig. 2, the tuning demodulator 210 is configured to receive a broadcast television signal through a wired or wireless receiving manner, perform modulation and demodulation processing such as amplification, mixing, resonance, and the like, and demodulate an audio and video signal from a plurality of wireless or wired broadcast television signals, where the audio and video signal may include a television audio and video signal carried in a television channel frequency selected by a user and an EPG data signal.

In some embodiments, the frequency points demodulated by the tuner demodulator 210 are controlled by the controller 250, and the controller 250 can send out control signals according to user selection, so that the modem responds to the television signal frequency selected by the user and modulates and demodulates the television signal carried by the frequency.

In some embodiments, the broadcast television signal may be classified into a terrestrial broadcast signal, a cable broadcast signal, a satellite broadcast signal, an internet broadcast signal, or the like according to the broadcasting system of the television signal. Or may be classified into a digital modulation signal, an analog modulation signal, and the like according to a modulation type. Or the signals are classified into digital signals, analog signals and the like according to the types of the signals.

In some embodiments, the controller 250 and the modem 210 may be located in different separate devices, that is, the modem 210 may also be located in an external device of the main device where the controller 250 is located, such as an external set-top box. Therefore, the set top box outputs the television audio and video signals modulated and demodulated by the received broadcast television signals to the main body equipment, and the main body equipment receives the audio and video signals through the first input/output interface.

In some embodiments, the controller 250 controls the operation of the display device and responds to user operations through various software control programs stored in memory. The controller 250 may control the overall operation of the display apparatus 200. For example: in response to receiving a user command for selecting a UI object to be displayed on the display 275, the controller 250 may perform an operation related to the object selected by the user command.

In some embodiments, the object may be any one of selectable objects, such as a hyperlink or an icon. Operations related to the selected object, such as: displaying an operation connected to a hyperlink page, document, image, or the like, or performing an operation of a program corresponding to the icon. The user command for selecting the UI object may be a command input through various input means (e.g., a mouse, a keyboard, a touch pad, etc.) connected to the display apparatus 200 or a voice command corresponding to a voice spoken by the user.

As shown in fig. 2, the controller 250 includes at least one of a Random Access Memory 251 (RAM), a Read-Only Memory 252 (ROM), a video processor 270, an audio processor 280, other processors 253 (e.g., a Graphics Processing Unit (GPU), a Central Processing Unit 254 (CPU), a Communication Interface (Communication Interface), and a Communication Bus 256(Bus), which connects the respective components.

In some embodiments, RAM 251 is used to store temporary data for the operating system or other programs that are running

In some embodiments, ROM252 is used to store instructions for various system boots.

In some embodiments, the ROM252 is used to store a Basic Input Output System (BIOS). The system is used for completing power-on self-test of the system, initialization of each functional module in the system, a driver of basic input/output of the system and booting an operating system.

In some embodiments, when the power of the display apparatus 200 is started upon receiving the power-on signal, the CPU executes the system start-up command in the ROM252, and copies the temporary data of the operating system stored in the memory into the RAM 251 so as to start or run the operating system. After the start of the operating system is completed, the CPU copies the temporary data of the various application programs in the memory to the RAM 251, and then, the various application programs are started or run.

In some embodiments, CPU processor 254 is used to execute operating system and application program instructions stored in memory. And executing various application programs, data and contents according to various interactive instructions received from the outside so as to finally display and play various audio and video contents.

In some example embodiments, the CPU processor 254 may comprise a plurality of processors. The plurality of processors may include a main processor and one or more sub-processors. A main processor for performing some operations of the display apparatus 200 in a pre-power-up mode and/or operations of displaying a screen in a normal mode. One or more sub-processors for one operation in a standby mode or the like.

In some embodiments, the graphics processor 253 is used to generate various graphics objects, such as: icons, operation menus, user input instruction display graphics, and the like. The display device comprises an arithmetic unit which carries out operation by receiving various interactive instructions input by a user and displays various objects according to display attributes. And the system comprises a renderer for rendering various objects obtained based on the arithmetic unit, wherein the rendered objects are used for being displayed on a display.

In some embodiments, the video processor 270 is configured to receive an external video signal, and perform video processing such as decompression, decoding, scaling, noise reduction, frame rate conversion, resolution conversion, image synthesis, and the like according to a standard codec protocol of the input signal, so as to obtain a signal that can be displayed or played on the direct display device 200.

In some embodiments, video processor 270 includes a demultiplexing module, a video decoding module, an image synthesis module, a frame rate conversion module, a display formatting module, and the like.

The demultiplexing module is used for demultiplexing the input audio and video data stream, and if the input MPEG-2 is input, the demultiplexing module demultiplexes the input audio and video data stream into a video signal and an audio signal.

And the video decoding module is used for processing the video signal after demultiplexing, including decoding, scaling and the like.

And the image synthesis module is used for carrying out superposition mixing processing on the GUI signal input by the user or generated by the user and the video image after the zooming processing by the graphic generator so as to generate an image signal for display.

The frame rate conversion module is configured to convert an input video frame rate, such as a 60Hz frame rate into a 120Hz frame rate or a 240Hz frame rate, and the normal format is implemented in, for example, an interpolation frame mode.

The display format module is used for converting the received video output signal after the frame rate conversion, and changing the signal to conform to the signal of the display format, such as outputting an RGB data signal.

In some embodiments, the graphics processor 253 and the video processor may be integrated or separately configured, and when the graphics processor and the video processor are integrated, the graphics processor and the video processor may perform processing of graphics signals output to the display, and when the graphics processor and the video processor are separately configured, the graphics processor and the video processor may perform different functions, respectively, for example, a GPU + frc (frame Rate conversion) architecture.

In some embodiments, the audio processor 280 is configured to receive an external audio signal, decompress and decode the received audio signal according to a standard codec protocol of the input signal, and perform noise reduction, digital-to-analog conversion, and amplification processes to obtain an audio signal that can be played in a speaker.

In some embodiments, video processor 270 may comprise one or more chips. The audio processor may also comprise one or more chips.

In some embodiments, the video processor 270 and the audio processor 280 may be separate chips or may be integrated together with the controller in one or more chips.

In some embodiments, the audio output, under the control of controller 250, receives sound signals output by audio processor 280, such as: the speaker 286, and an external sound output terminal of a generating device that can output to an external device, in addition to the speaker carried by the display device 200 itself, such as: external sound interface or earphone interface, etc., and may also include a near field communication module in the communication interface, for example: and the Bluetooth module is used for outputting sound of the Bluetooth loudspeaker.

The power supply 290 supplies power to the display device 200 from the power input from the external power source under the control of the controller 250. The power supply 290 may include a built-in power supply circuit installed inside the display apparatus 200, or may be a power supply interface installed outside the display apparatus 200 to provide an external power supply in the display apparatus 200.

A user interface 265 for receiving an input signal of a user and then transmitting the received user input signal to the controller 250. The user input signal may be a remote controller signal received through an infrared receiver, and various user control signals may be received through the network communication module.

In some embodiments, the user inputs a user command through the control apparatus 100 or the mobile terminal 300, the user input interface responds to the user input through the controller 250 according to the user input, and the display device 200 responds to the user input through the controller 250.

In some embodiments, a user may enter user commands on a Graphical User Interface (GUI) displayed on the display 275, and the user input interface receives the user input commands through the Graphical User Interface (GUI). Alternatively, the user may input the user command by inputting a specific sound or gesture, and the user input interface receives the user input command by recognizing the sound or gesture through the sensor.

In some embodiments, a "user interface" is a media interface for interaction and information exchange between an application or operating system and a user that enables conversion between an internal form of information and a form that is acceptable to the user. A commonly used presentation form of the User Interface is a Graphical User Interface (GUI), which refers to a User Interface related to computer operations and displayed in a graphical manner. It may be an interface element such as an icon, a window, a control, etc. displayed in the display screen of the electronic device, where the control may include a visual interface element such as an icon, a button, a menu, a tab, a text box, a dialog box, a status bar, a navigation bar, a Widget, etc.

The memory 260 includes a memory storing various software modules for driving the display device 200. Such as: various software modules stored in the first memory, including: at least one of a basic module, a detection module, a communication module, a display control module, a browser module, and various service modules.

The base module is a bottom layer software module for signal communication between various hardware in the display device 200 and for sending processing and control signals to the upper layer module. The detection module is used for collecting various information from various sensors or user input interfaces, and the management module is used for performing digital-to-analog conversion and analysis management.

For example, the voice recognition module comprises a voice analysis module and a voice instruction database module. The display control module is used for controlling the display to display the image content, and can be used for playing the multimedia image content, UI interface and other information. And the communication module is used for carrying out control and data communication with external equipment. And the browser module is used for executing a module for data communication between browsing servers. And the service module is used for providing various services and modules including various application programs. Meanwhile, the memory 260 may store a visual effect map for receiving external data and user data, images of various items in various user interfaces, and a focus object, etc.

Fig. 3 exemplarily shows a block diagram of a configuration of the control apparatus 100 according to an exemplary embodiment. As shown in fig. 3, the control apparatus 100 includes a controller 110, a communication interface 130, a user input/output interface, a memory, and a power supply source.

The control device 100 is configured to control the display device 200 and may receive an input operation instruction of a user and convert the operation instruction into an instruction recognizable and responsive by the display device 200, serving as an interaction intermediary between the user and the display device 200. Such as: the user responds to the channel up and down operation by operating the channel up and down keys on the control device 100.

In some embodiments, the control device 100 may be a smart device. Such as: the control apparatus 100 may install various applications that control the display apparatus 200 according to user demands.

In some embodiments, as shown in fig. 1, a mobile terminal 300 or other intelligent electronic device may function similar to the control device 100 after installing an application that manipulates the display device 200. Such as: the user may implement the functions of controlling the physical keys of the device 100 by installing applications, various function keys or virtual buttons of a graphical user interface available on the mobile terminal 300 or other intelligent electronic device.

The controller 110 includes a processor 112 and RAM 113 and ROM 114, a communication interface 130, and a communication bus. The controller is used to control the operation of the control device 100, as well as the communication cooperation between the internal components and the external and internal data processing functions.

The communication interface 130 enables communication of control signals and data signals with the display apparatus 200 under the control of the controller 110. Such as: the received user input signal is transmitted to the display apparatus 200. The communication interface 130 may include at least one of a WiFi chip 131, a bluetooth module 132, an NFC module 133, and other near field communication modules.

A user input/output interface 140, wherein the input interface includes at least one of a microphone 141, a touch pad 142, a sensor 143, keys 144, and other input interfaces. Such as: the user can realize a user instruction input function through actions such as voice, touch, gesture, pressing, and the like, and the input interface converts the received analog signal into a digital signal and converts the digital signal into a corresponding instruction signal, and sends the instruction signal to the display device 200.

The output interface includes an interface that transmits the received user instruction to the display apparatus 200. In some embodiments, the interface may be an infrared interface or a radio frequency interface. Such as: when the infrared signal interface is used, the user input instruction needs to be converted into an infrared control signal according to an infrared control protocol, and the infrared control signal is sent to the display device 200 through the infrared sending module. The following steps are repeated: when the rf signal interface is used, a user input command needs to be converted into a digital signal, and then the digital signal is modulated according to the rf control signal modulation protocol and then transmitted to the display device 200 through the rf transmitting terminal.

In some embodiments, the control device 100 includes at least one of a communication interface 130 and an input-output interface 140. The control device 100 is provided with a communication interface 130, such as: the WiFi, bluetooth, NFC, etc. modules may transmit the user input command to the display device 200 through the WiFi protocol, or the bluetooth protocol, or the NFC protocol code.

A memory 190 for storing various operation programs, data and applications for driving and controlling the control apparatus 200 under the control of the controller. The memory 190 may store various control signal commands input by a user.

And a power supply 180 for providing operational power support to the various elements of the control device 100 under the control of the controller. A battery and associated control circuitry.

In some embodiments, the system may include a Kernel (Kernel), a command parser (shell), a file system, and an application program. The kernel, shell, and file system together make up the basic operating system structure that allows users to manage files, run programs, and use the system. After power-on, the kernel is started, kernel space is activated, hardware is abstracted, hardware parameters are initialized, and virtual memory, a scheduler, signals and interprocess communication (IPC) are operated and maintained. And after the kernel is started, loading the Shell and the user application program. The application program is compiled into machine code after being started, and a process is formed.

Referring to fig. 4, in some embodiments, the system is divided into four layers, which are, from top to bottom, an Application (Applications) layer (referred to as an "Application layer"), an Application Framework (Application Framework) layer (referred to as a "Framework layer"), an Android runtime (Android runtime) layer and a system library layer (referred to as a "system runtime library layer"), and a kernel layer.

In some embodiments, at least one application program runs in the application program layer, and the application programs can be Window (Window) programs carried by an operating system, system setting programs, clock programs, camera applications and the like; or may be an application developed by a third party developer such as a hi program, a karaoke program, a magic mirror program, or the like. In specific implementation, the application packages in the application layer are not limited to the above examples, and may actually include other application packages, which is not limited in this embodiment of the present application.

The framework layer provides an Application Programming Interface (API) and a programming framework for the application program of the application layer. The application framework layer includes a number of predefined functions. The application framework layer acts as a processing center that decides to let the applications in the application layer act. The application program can access the resource in the system and obtain the service of the system in execution through the API interface

As shown in fig. 4, in the embodiment of the present application, the application framework layer includes a manager (Managers), a Content Provider (Content Provider), and the like, where the manager includes at least one of the following modules: an Activity Manager (Activity Manager) is used for interacting with all activities running in the system; the Location Manager (Location Manager) is used for providing the system service or application with the access of the system Location service; a Package Manager (Package Manager) for retrieving various information related to an application Package currently installed on the device; a Notification Manager (Notification Manager) for controlling display and clearing of Notification messages; a Window Manager (Window Manager) is used to manage the icons, windows, toolbars, wallpapers, and desktop components on a user interface.

In some embodiments, the activity manager is to: managing the life cycle of each application program and the general navigation backspacing function, such as controlling the exit of the application program (including switching the user interface currently displayed in the display window to the system desktop), opening, backing (including switching the user interface currently displayed in the display window to the previous user interface of the user interface currently displayed), and the like.

In some embodiments, the window manager is configured to manage all window processes, such as obtaining a display size, determining whether a status bar is available, locking a screen, intercepting a screen, controlling a display change (e.g., zooming out, dithering, distorting, etc.) and the like.

In some embodiments, the system runtime layer provides support for the upper layer, i.e., the framework layer, and when the framework layer is used, the android operating system runs the C/C + + library included in the system runtime layer to implement the functions to be implemented by the framework layer.

In some embodiments, the kernel layer is a layer between hardware and software. As shown in fig. 4, the core layer includes at least one of the following drivers: audio drive, display drive, bluetooth drive, camera drive, WIFI drive, USB drive, HDMI drive, sensor drive (such as fingerprint sensor, temperature sensor, touch sensor, pressure sensor, etc.), and so on.

In some embodiments, the kernel layer further comprises a power driver module for power management.

In some embodiments, software programs and/or modules corresponding to the software architecture of fig. 4 are stored in the first memory or the second memory shown in fig. 2 or 3.

In some embodiments, taking the magic mirror application (photographing application) as an example, when the remote control receiving device receives a remote control input operation, a corresponding hardware interrupt is sent to the kernel layer. The kernel layer processes the input operation into an original input event (including information such as a value of the input operation, a timestamp of the input operation, etc.). The raw input events are stored at the kernel layer. The application program framework layer obtains an original input event from the kernel layer, identifies a control corresponding to the input event according to the current position of the focus and uses the input operation as a confirmation operation, the control corresponding to the confirmation operation is a control of a magic mirror application icon, the magic mirror application calls an interface of the application framework layer to start the magic mirror application, and then the kernel layer is called to start a camera driver, so that a static image or a video is captured through the camera.

In some embodiments, for a display device with a touch function, taking a split screen operation as an example, the display device receives an input operation (such as a split screen operation) that a user acts on a display screen, and the kernel layer may generate a corresponding input event according to the input operation and report the event to the application framework layer. The window mode (such as multi-window mode) corresponding to the input operation, the position and size of the window and the like are set by an activity manager of the application framework layer. And the window management of the application program framework layer draws a window according to the setting of the activity manager, then sends the drawn window data to the display driver of the kernel layer, and the display driver displays the corresponding application interface in different display areas of the display screen.

In some embodiments, as shown in fig. 5, the application layer containing at least one application may display a corresponding icon control in the display, such as: the system comprises a live television application icon control, a video on demand application icon control, a media center application icon control, an application center icon control, a game application icon control and the like.

In some embodiments, the live television application may provide live television via different signal sources. For example, a live television application may provide television signals using input from cable television, radio broadcasts, satellite services, or other types of live television services. And, the live television application may display video of the live television signal on the display device 200.

In some embodiments, a video-on-demand application may provide video from different storage sources. Unlike live television applications, video on demand provides a video display from some storage source. For example, the video on demand may come from a server side of the cloud storage, from a local hard disk storage containing stored video programs.

In some embodiments, the media center application may provide various applications for multimedia content playback. For example, a media center, which may be other than live television or video on demand, may provide services that a user may access to various images or audio through a media center application.

In some embodiments, an application center may provide storage for various applications. The application may be a game, an application, or some other application associated with a computer system or other device that may be run on the smart television. The application center may obtain these applications from different sources, store them in local storage, and then be operable on the display device 200.

With the rapid development of artificial intelligence, voice interaction becomes the sign of intelligent products. Semantic understanding, i.e., semantic slot extraction, is the basis for voice interaction. Generally, the semantic slot is used as a keyword for searching, and content which a user wants to view can be searched. However, the main problem of inaccurate semantic understanding based on speech recognition at present is three points, the first is that a text obtained by semantic understanding is wrong due to a user expression error or a speech recognition problem, which brings a certain difficulty to semantic understanding, and for example, when a user requests for query through speech, a difference exists between a recognized text and a user expectation due to wrong recording and inaccurate recording of a movie name expected to be retrieved, or due to dialect, speech recognition noise and the like; the second is the diversity of the language expression itself, which also brings difficulty to the semantic understanding; the third is that due to the rapid development of the current internet, the appearance of various new video names and music names brings challenges to the current semantic understanding based on word stock. Therefore, how to accurately extract the semantic slots and improve the accuracy of semantic understanding becomes a problem to be solved urgently by the technical personnel in the field.

The embodiment of the present application provides a semantic slot extraction method, as shown in fig. 6, including:

s101, responding to a request sent by a user, performing semantic slot position analysis of deep learning on the request, and determining a first semantic slot.

It should be explained that the request may be text content converted from a voice message sent by the user, and the user may express the content to be viewed or searched. Illustratively, the request may be "a pro-flying reduced-by-half hedonic program". Then, a first semantic slot is obtained through semantic slot position analysis of deep learning, and for example, the first semantic slot may be a semantic slot of a type of a cover: name, old flying is reduced by half: a video name; synthesizing: the type of video.

And the semantic slot position analysis of the deep learning utilizes data driving to carry out probabilistic modeling on the text, and offline trains a relevant deep learning analysis model. The method mainly solves the problems of some unknown words or generalized descriptions, and the processed semantic slot entity types comprise dynamically increased entities such as TV dramas, music and the like; like time, entities required for all domains; like place name, large data volume, multiple words and phrases, and entities which cannot be contained in a word stock. Specifically, as shown in fig. 7, the deep learning analysis model used for deep learning semantic slot analysis includes an input representation layer, a model modeling layer, and an attribute labeling layer. And the input representation layer is used for coding the characters or words in the input sentence, so that the expressions of the characters or words with similar semantemes are similar. And the model modeling layer is used for modeling the context relationship of the words or the phrases. And the attribute labeling layer is used for modeling the context relationship of the label.

In fig. 7, a representation layer (word embeddi) is inputngs) sends a request Mark Watney visual marks for the user, and the final output of the network structure of "Mark" is that "B-PER" represents the beginning of the name of the person; the final output of Watney's network structure is "E-PER" which represents the end of the person's name; the final output of the network structure of the visited is "O" which represents that the current word is meaningless; the final output of the Mars network structure is "S-LOC" representing a place name. In the model modeling layer (Bi _ LSTM encoder) in the figure, I_iIndicating that i word considers the left context; r is_iIndicating that i-word considers the right context; c. C_iIndicating the result of the word i taking into account the context on the left and right sides.

Because the first semantic slot is determined by the semantic slot position analysis of the request directly through deep learning, if wrong text content exists in the request, the wrong text content may also exist in the first semantic slot. Illustratively, in the above example, the stale is halved: video name, correct content should be full of six notes: the name of the video. Therefore, in the embodiment S102 of the present application, it is detected whether an error occurs in the first semantic slot of the request. S103, if an error occurs, modifying the content corresponding to the first semantic slot in the request to obtain a modified request.

In some embodiments, whether the first semantic slot of the request is in error is detected, and the first semantic slot may be searched by a dictionary, where the dictionary stores preset semantic slot contents, and if the contents of the first semantic slot are not in the dictionary, it is determined that the first semantic slot is in error. In other embodiments, detecting whether the first semantic slot of the request is in error may also be checked by the classifier. Through the classifier, if errors occur, the output of the classifier is 1, if errors do not occur, the output of the classifier is 0, the classifier is a deep learning model, and after the model is trained, whether errors occur in the requested first semantic groove can be directly determined. In addition, the embodiments of the present application do not limit the specific category of the model for determining whether the requested first semantic slot is faulty, and it is within the scope of the present application if there are other models that can implement the function.

In some embodiments, when detecting whether the first semantic slot has an error, only an important part of the first semantic slot may be detected, which may reduce occupation of computer resources. For example, detection may be performed only for content corresponding to a video name, a music name, and an application name, and in the above example, the content may be halved for stale: video names were detected, and for a Dou: name of human, comprehensive: the video type is not detected. And when the first semantic slot has errors, modifying the content corresponding to the first semantic slot.

In some embodiments, the step of modifying the content corresponding to the first semantic slot in the request to obtain a modified request, as shown in fig. 8, includes:

s1021, searching for the replacement content corresponding to the first semantic slot.

In some embodiments, the step of finding alternate content corresponding to the first semantic slot comprises:

determining a business domain of the request. And determining the service field of the request according to the vertical domain, wherein the service field comprises video, music and application. Specifically, a user request is input into a pre-trained model for prediction. And predicting and outputting the corresponding service field. Exemplarily, i want to watch a movie, i want to watch an old full and full meeting and a half meeting output video service field; i want to listen to music, i want to listen to songs in liudeluxe will export the music business domain. The pre-trained model is modeled by using a deep learning mode for the service field requested by the user by using a large amount of user data, and the model is stored.

Since errors may occur in the first semantic slot, the errors in the first semantic slot need to be corrected. According to the business field, the embodiment of the application determines the replacement content corresponding to the first semantic slot by utilizing the pinyin index, the font index, the sound-shape code index and the semantic index.

The pinyin index refers to the content of the same pinyin or similar pinyin in the wrong first semantic groove as the replacement content in the range of the service field. The font index refers to the same font or approximate font content in the first wrong semantic slot as the replacement content in the range of the business field, and the sound-shape code index refers to the same sound-shape code or approximate sound-shape code content in the first wrong semantic slot as the replacement content in the range of the business field. The semantic index refers to replacing the wrong first semantic slot with content with the same or similar semantics within the scope of the business field, and the application is not limited to the above-mentioned method for determining the replacement content corresponding to the first semantic slot, and any method that does not violate the meaning of the application is within the protection scope of the application.

Therefore, when a user identifies errors such as wrong characters (homophones and homographs), multiple characters, few characters, disorder and the like by dialects or languages, the purpose of searching for the replaced content can be achieved by utilizing methods such as pinyin indexes, character pattern indexes, phonographic code indexes, semantic indexes and the like on the basis of media resources. In order to avoid missing the replacement content, the embodiments of the present application may use the above methods for determining the replacement content at the same time.

S1022, replacing the content corresponding to the first semantic slot in the request by the replacement content to form a request to be determined.

Since there may be one or more methods for finding the alternative content, the number of the found alternative content may be one or more, and the number of the requests to be determined formed is not determined. Therefore, the embodiment of the application determines how to determine the modified request according to the number of the requests to be determined.

S1023, if the number of the requests to be determined is one, determining that the requests to be determined are modified requests;

s1024, if the number of the requests to be determined is more than one, screening out an optimal request to be determined from the plurality of requests to be determined as a modified request.

According to the method and the device, the multiple requests to be determined can be input into the deep learning model trained through pinyin, characters, heat, service fields, labels and the like, and the score of each request to be determined is obtained. And finally, selecting the request to be determined with the highest score as the modified request.

There may be erroneous content due to the first semantic slot determined with deep-learned semantic slot parsing. Therefore, S104, the grammar semantic slot position analysis is carried out on the modified request, and a second semantic slot is determined. The syntax semantic slot position analysis is used for determining a second semantic slot by using syntax rules formed by word bank labels and labels, and a plurality of syntax rules in the word bank form a syntax tree. Exemplary, person name tag: poplar, qinhao, video name tag: peach blossom and secret corner in three generations, three Shi Li, grammar rule: and a person name label and a video name label. If the modified request is a three-generation thirty-third-mile peach blossom with a Yang power performance, the grammar rule is matched, and a second semantic groove is determined to be the three-generation thirty-mile peach blossom: video name, poplar power: name of the person.

Thus, the grammar semantic slot position analysis can be carried out on the modified request to obtain the second semantic slot without error content. Illustratively, according to the example mentioned above, the second semantic slot is: full of six points and a half: a video name; synthesizing: the type of video. The names in the dictionary are not complete, so the Algai is not in the dictionary.

In this embodiment, S105 combines the first semantic slot and the second semantic slot to obtain the requested semantic slot. Because the grammar semantic slot position analysis is processed by utilizing the dictionary, but the content of the dictionary has certain limitation, and the deep learning semantic slot position analysis has no limitation, the grammar semantic slot position analysis and the deep learning semantic slot position analysis are combined to obtain an accurate semantic slot and a correct semantic slot, thereby achieving the purposes of improving the accuracy of extracting the semantic slot and improving the fault tolerance.

Illustratively, the first semantic slot is: a cover: name, old flying is reduced by half: a video name; synthesizing: the type of video. The second semantic slot is: full of six points and a half: a video name; synthesizing: the type of video. Combining the two to obtain a semantic groove of Aigai: a name of the person; full of six points and a half: a video name; synthesizing: the type of video. And supplementing the content which is not in the second semantic slot by using the first semantic slot.

In some embodiments, S106, if no error occurs, directly performing syntax semantic slot position analysis on the request, and determining a third semantic slot;

and S107, combining the first semantic slot and the third semantic slot to obtain the requested semantic slot. The method for combining the first semantic slot and the third semantic slot is the same as the method for combining the first semantic slot and the second semantic slot, and is not repeated herein.

In the embodiment, the semantic slot extraction method and the display device improve the accuracy of extracting the semantic slot. The method comprises the following steps: responding to a request sent by a user, performing semantic slot position analysis of deep learning on the request, and determining a first semantic slot; detecting whether a first semantic slot of the request has errors, and if so, modifying the content corresponding to the first semantic slot in the request to obtain a modified request; performing grammar semantic slot position analysis on the modified request to determine a second semantic slot; and combining the first semantic slot and the second semantic slot to obtain the requested semantic slot.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

The foregoing description, for purposes of explanation, has been presented in conjunction with specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the embodiments to the precise forms disclosed above. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles and the practical application, to thereby enable others skilled in the art to best utilize the embodiments and various embodiments with various modifications as are suited to the particular use contemplated.

Claims

1. A display device, comprising:

a display;

2. The display device according to claim 1, wherein the controller is further configured to perform:

3. The display device of claim 1, wherein the modifying the content of the request corresponding to the first semantic slot comprises:

searching for alternative content corresponding to the first semantic slot;

4. The display device of claim 3, wherein the step of modifying the content of the request corresponding to the first semantic slot further comprises:

5. The display device of claim 3, wherein the step of finding replacement content corresponding to the first semantic slot comprises:

determining the service field of the request;

6. A semantic slot extraction method, comprising:

7. The method of claim 6, further comprising:

8. The method of claim 6, wherein modifying the content of the request corresponding to the first semantic slot comprises:

searching for alternative content corresponding to the first semantic slot;

replacing the content corresponding to the first semantic slot in the request by using the replacement content to form a request to be determined; and if the number of the requests to be determined is one, determining that the requests to be determined are modified requests.

9. The method of claim 8, wherein modifying the content of the request corresponding to the first semantic slot to obtain a modified request further comprises:

10. The method of claim 8, wherein the step of finding replacement content corresponding to the first semantic slot comprises:

determining the service field of the request;