CN113157944A - Interaction-based knowledge graph expanding method, system, equipment and storage medium - Google Patents
Interaction-based knowledge graph expanding method, system, equipment and storage medium Download PDFInfo
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Abstract
The invention provides a knowledge graph expanding method, a knowledge graph expanding system, knowledge graph expanding equipment and a storage medium based on interaction, wherein the method comprises the following steps: training a text processing neural network for matching classification labels of texts and establishing a knowledge graph, wherein each information item in the knowledge graph is matched with a classification label group; acquiring interactive text information of a website, and performing labeling classification on each piece of interactive text information through a text processing neural network; according to the label traversal knowledge graph of the interactive text information, judging whether at least one information item of the label meeting the interactive text information can be found, if so, feeding the found information item back to a transmission channel of the interactive text information; and if not, creating an information item in the knowledge map based on the interactive text information. The invention can establish the mapping relation with the knowledge graph through the label classification of the interactive text information at any time, thereby enhancing the speed of feeding back the question and answer of the user and accelerating the iteration speed of the knowledge graph matched with the website.
Description
Technical Field
The invention relates to the field of automatic generation of bills, in particular to a knowledge graph expanding method, a knowledge graph expanding system, knowledge graph expanding equipment and a storage medium based on interaction.
Background
The existing work order system for production events only has basic event processing, lacks customization functions when in use, and lacks supervision on process quality and support on data and reports. Technical support teams are required to handle various types of data and reporting needs from various parties each day while dealing with the large volume of production problem feedback. The lead and QA of the technical support team have no effective means to supervise the processing efficiency and the processing quality of the members.
Existing websites can receive a large amount of user messages when running, but existing systems at least solve the problems through manpower, the speed of feeding back the user problems is slow, and the resources of the parts cannot be effectively utilized.
Therefore, the invention provides a knowledge graph expanding method, a knowledge graph expanding system, a knowledge graph expanding device and a storage medium based on interaction.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a knowledge graph expanding method, a system, equipment and a storage medium based on interaction, which overcome the difficulty in the prior art, can monitor process abnormal indexes anytime and anywhere, and build a mapping relation with a knowledge graph through label classification of interactive text information, thereby enhancing the speed of feeding back a user to ask and answer, saving time of various fixed reports, data pulling, progress inquiry and the like every week, improving user experience, being beneficial to quickly obtaining new requirements of the user, expanding the service vacancy of a website, being beneficial to the perfection of the website and accelerating the iteration speed of the knowledge graph matched with the website.
The embodiment of the invention provides a knowledge graph expanding method based on interaction, which comprises the following steps:
s100, training a text processing neural network, matching classification labels of texts, and establishing a knowledge graph, wherein each information item in the knowledge graph is matched with a classification label group;
s110, acquiring interactive text information of a website, and performing labeling classification on each piece of interactive text information through the text processing neural network;
s120, traversing the knowledge graph according to the label of the interactive text information, and judging whether at least one information item meeting the label of the interactive text information can be found, if so, executing the step S130, otherwise, executing the step S140;
s130, feeding back the searched information items to a sending channel of the interactive text information;
s140, creating an information item in the knowledge graph based on the interactive text information.
Preferably, in step S130, text similarity calculation is performed on the searched information items and the interactive text information, and the information item with the highest similarity is fed back to a sending channel of the interactive text information.
Preferably, the set of category labels comprises at least one category label.
Preferably, each information entry in the knowledge-graph is further associated with at least one alert mailbox.
Preferably, the method further includes step S150 of performing similarity calculation between the new label of the information entry and the label of the information entry of the knowledge graph, sending the information entry to the alarm mailbox corresponding to the information entry with the highest similarity, and at least supplementing the feedback from the alarm mailbox to the corresponding information entry in the knowledge graph.
Preferably, the interactive text information includes at least one of a visitor message, a buyer message, and a seller message.
Preferably, the website is a travel e-commerce website, and the classification tag includes: at least one of booking airline tickets, booking train tickets, booking cruise ships, booking hotels, booking travel products, home, overseas, and peripheral tours.
The embodiment of the invention also provides an interaction-based knowledge graph expanding system, which is used for realizing the interaction-based knowledge graph expanding method, and the interaction-based knowledge graph expanding system comprises:
the neural network module is used for training a text processing neural network and is used for matching classification labels of texts and establishing a knowledge graph, and each information item in the knowledge graph is matched with a classification label group;
the label classification module is used for collecting interactive text information of a website and performing labeling classification on each piece of interactive text information through the text processing neural network;
the label traversal module is used for traversing the knowledge graph according to the label of the interactive text information and judging whether at least one information item meeting the label of the interactive text information can be found, if so, the step information feedback module is executed, and if not, the item newly-built module is executed;
the information feedback module feeds the searched information items back to the transmission channel of the interactive text information;
the item newly-building module is used for newly building an information item in the knowledge graph based on the interactive text information;
and the item supplement module is used for calculating the similarity between the newly-built label of the information item and the label of the information item of the knowledge graph, sending the information item to an alarm mailbox corresponding to the information item with the highest similarity, and supplementing the feedback from the alarm mailbox to at least the corresponding information item in the knowledge graph.
The embodiment of the invention also provides knowledge graph expanding equipment based on interaction, which comprises:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the interaction-based knowledge-graph extending method described above via execution of the executable instructions.
Embodiments of the present invention also provide a computer-readable storage medium for storing a program, which when executed, implements the steps of the above-described interaction-based knowledge-graph extending method.
The invention aims to provide a knowledge graph expanding method, a knowledge graph expanding system, a knowledge graph expanding device and a storage medium based on interaction, which can monitor process abnormal indexes anytime and anywhere, build a mapping relation through label classification of interactive text information and a knowledge graph, enhance the speed of feeding back a question and answer of a user, save time of various fixed reports, data pulling, progress inquiry and the like every week, improve user experience, facilitate rapid acquisition of new requirements of the user, expand service vacancy of a website, facilitate perfection of the website and accelerate the iteration speed of the knowledge graph matched with the website.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a flow chart of the interaction-based knowledge-graph propagation method of the present invention.
FIG. 2 is a block diagram of the interaction-based knowledge-graph propagation system of the present invention.
FIG. 3 is a schematic diagram of the interaction-based knowledge-graph extending apparatus of the present invention.
Fig. 4 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus their repetitive description will be omitted.
FIG. 1 is a flow chart of the interaction-based knowledge-graph propagation method of the present invention. As shown in fig. 1, an embodiment of the present invention provides an interaction-based knowledge graph expanding method, including the following steps:
s100, training a text processing neural network for matching classification labels of the text and establishing a knowledge graph, wherein each information item in the knowledge graph is matched with a classification label group.
S110, collecting interactive text information of the website, and performing labeling classification on each piece of interactive text information through a text processing neural network.
And S120, according to the label traversal knowledge graph of the interactive text information, judging whether at least one information item meeting the label of the interactive text information can be found, if so, executing the step S130, and if not, executing the step S140.
And S130, feeding back the searched information items to a transmission channel of the interactive text information.
S140, creating an information item in the knowledge graph based on the interactive text information.
S150, similarity calculation is carried out on the labels of the newly-built information items and the labels of the information items of the knowledge graph, the information items are sent to an alarm mailbox corresponding to the information items with the highest similarity, and feedback from the alarm mailbox is at least supplemented to the corresponding information items in the knowledge graph.
The invention relates to the integrated management of work order processing for production events. The invention can realize the support of problem scene customization, process progress transparentization, process efficiency and quality supervision, multi-dimensional data and multi-dimensional report. The invention can support customizing different processing timeliness aiming at different scenes and timely inform a technical support team through a message mechanism. And a supervision function is provided aiming at the efficiency and the quality of the processing process, and the supervision function comprises supervision on the aspects of processing efficiency, processing quality, processing mode and the like. Providing query and billboard functionality supporting progress and subsequent improvement of processing. A reporting system that supports dimension diversification. And the report is checked from the dimensions in the service production line respectively according to the dimensions such as repair quality, processing efficiency, processing quality, processing result type and the like. And the processing efficiency, the processing quality, the processing result type and the like among different service production lines are supported and compared. Support for providing data statistics and analysis from different roles: the data is provided from the perspectives of repair personnel, research and development, products, technical support, QA and the like. The data of various dimensions are inquired and downloaded by self-help, and the data cover the whole process.
In a preferred embodiment, in step S130, text similarity calculation is performed on the searched information items and the interactive text information, and the information item with the highest similarity is fed back to a transmission channel of the interactive text information, but not limited thereto.
In a preferred embodiment, the set of category labels includes at least one category label, but is not limited thereto.
In a preferred embodiment, each information entry in the knowledge-graph is also associated with at least one alert mailbox, but not limited thereto.
In a preferred embodiment, the interactive text information includes at least one of a visitor message, a buyer message, and a seller message, but not limited thereto.
In a preferred embodiment, the website is a travel e-commerce website, and the category labels include: at least one of booking airplane tickets, booking train tickets, booking cruise ships, booking hotels, booking travel products, home, overseas and peripheral tours, but not limited thereto.
One implementation of the present invention is as follows: and training a text processing neural network for matching the classification labels of the texts. And establishing a knowledge map by matching with a travel e-commerce website. Each information entry in the knowledge-graph is associated with at least one alert mailbox that matches a set of classification tags. The classification tags include: booking airline tickets, booking train tickets, booking cruise ships, booking hotels, booking travel products, home, overseas, peripheral tours, and so on.
And acquiring interactive text information such as visitor messages, buyer messages and seller messages on the tourist e-commerce website, and performing labeling classification on each piece of interactive text information through a text processing neural network. For example: the visitor A leaves a message: how to go to fuji mountain in japan to see sunrise, the classification tag group obtained after being processed by the text processing neural network includes three classification tags "japan", "fuji mountain" and "sunrise", respectively.
And traversing the knowledge graph according to the label of the interactive text information, if a plurality of information items including Japanese, Fuji mountain and sunrise can be matched, performing text similarity calculation on the searched information items and the interactive text information 'how to go to the Fuji mountain to see sunrise', and feeding back the information item with the highest similarity to the visitor A.
And if the information item of the label meeting the interactive text information is not found, establishing an information item in the knowledge map based on the interactive text information. The label of the newly-created information item and the label of the information item of the knowledge graph are subjected to similarity calculation to obtain the label of the information item with the highest similarity as the information item B with Japanese and Fuji mountain, and an alarm mailbox D associated with the information item B sends the information item 'how to go to the Fuji mountain to see sunrise' to the alarm mailbox D corresponding to the information item B with the highest similarity, after an artificial intelligence (or related product manager) reply account receives the latest information item, a proposal and explanation are made on how to go to the Fuji mountain to see sunrise ', or related travel resources are matched to form travel products corresponding to Japanese, Fuji mountain and sunrise', or corresponding product links or related product links are provided as a reply, the reply feedback of the mailbox alarm D is supplemented at least to the corresponding information item in the knowledge graph by the system and fed back to the visitor A, therefore, new requirements beyond the existing products of the original travel E-commerce website provided by the visitor A are met, the automatic expansion of the knowledge map can be helped more quickly, and the richness and the functionality of the website are effectively improved.
The invention mainly aims to solve the problems of process supervision, data concentration and report analysis, and on the basis of the purpose, indexes of process monitoring are required to be definitely captured, data can be processed and stored, and related information of reports can be connected in series in the work order processing process. The existing work order processing system is miscellaneous in using crowd, more emphasizes on the basic requirements of popularization in function and excessively emphasizes the circulation among personnel, and lacks attention to multi-dimensional data, so that the crowd requirements of a technical support team and attention data cannot be supported. The invention processes and stores the data of the aspects related in the work order processing process in the process and connects the data in series in the information flow, thereby realizing the functions of monitoring the process, checking and downloading the process data and integrating the report.
The system of the invention is an event processing and process monitoring platform, and a technical support team processes events on the platform and processes and associates peripheral information of the events in the processing process. The system can supervise the efficiency and quality of the process, such as event correction, overtime event and reopening event, and TS LEAD can intervene in time to improve the processing quality. The platform supports the data in the event processing platform as a basis, and supports the overall access of process data checking, the improvement progress of associated tasks, reports of various dimensions and data downloading.
FIG. 2 is a block diagram of the interaction-based knowledge-graph propagation system of the present invention. As shown in FIG. 2, the interaction-based knowledge-graph expanding system 5 of the present invention comprises:
the neural network module 51 trains a text processing neural network for matching the text with the classification tags and establishing a knowledge graph, wherein each information item in the knowledge graph is matched with a classification tag group.
And the label classification module 52 is used for collecting the interactive text information of the website and performing label classification on each piece of interactive text information through a text processing neural network.
And the label traversal module 53 judges whether at least one information item meeting the label of the interactive text information can be found according to the label traversal knowledge graph of the interactive text information, if so, the step information feedback module is executed, and if not, the item newly-built module is executed.
And the information feedback module 54 feeds the searched information items back to the transmission channel of the interactive text information.
And an item creating module 55 for creating an information item in the knowledge graph based on the interactive text information.
And the item supplement module 56 is used for calculating the similarity between the label of the newly-built information item and the label of the information item of the knowledge graph, sending the information item to the alarm mailbox corresponding to the information item with the highest similarity, and supplementing the feedback from the alarm mailbox to the corresponding information item in the knowledge graph.
The interaction-based knowledge graph expanding system can supervise process abnormal indexes anytime and anywhere, and establishes a mapping relation through label classification of interactive text information and a knowledge graph, so that the question and answer feedback speed of a user is increased, time for various fixed reports, data pulling, progress inquiry and the like every week is saved, user experience is improved, new requirements of the user can be obtained quickly, the service vacancy of a website is expanded, the completeness of the website is facilitated, and the iteration speed of the knowledge graph matched with the website is increased.
The embodiment of the invention also provides knowledge graph expanding equipment based on interaction, which comprises a processor. A memory having stored therein executable instructions of the processor. Wherein the processor is configured to perform the steps of the interaction-based knowledge-graph extending method via execution of the executable instructions.
As shown above, the interaction-based knowledge graph expanding system of the embodiment of the present invention can monitor process anomaly indicators at any time and any place, and establish a mapping relationship with a knowledge graph through tag classification of interactive text information, thereby enhancing the speed of feeding back user questions and answers, saving time for various reports, data pull, progress inquiry and the like fixed every week, improving user experience, facilitating rapid acquisition of new requirements of users, expanding business vacancy of websites, facilitating perfection of websites, and accelerating the iteration speed of a knowledge graph matched with websites.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" platform.
FIG. 3 is a schematic diagram of the interaction-based knowledge-graph extending apparatus of the present invention. An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 3. The electronic device 600 shown in fig. 3 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 3, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different platform components (including the memory unit 620 and the processing unit 610), a display unit 640, etc.
Wherein the storage unit stores program code executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present invention described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, to name a few.
The embodiment of the invention also provides a computer-readable storage medium for storing a program, and the steps of the interaction-based knowledge graph expanding method are realized when the program is executed. In some possible embodiments, the aspects of the present invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned electronic prescription flow processing method section of this specification, when the program product is run on the terminal device.
As shown above, the interaction-based knowledge graph expanding system of the embodiment of the present invention can monitor process anomaly indicators at any time and any place, and establish a mapping relationship with a knowledge graph through tag classification of interactive text information, thereby enhancing the speed of feeding back user questions and answers, saving time for various reports, data pull, progress inquiry and the like fixed every week, improving user experience, facilitating rapid acquisition of new requirements of users, expanding business vacancy of websites, facilitating perfection of websites, and accelerating the iteration speed of a knowledge graph matched with websites.
Fig. 4 is a schematic structural diagram of a computer-readable storage medium of the present invention. Referring to fig. 4, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the present invention aims to provide a method, a system, a device and a storage medium for expanding a knowledge graph based on interaction, which can monitor process abnormal indexes anytime and anywhere, and establish a mapping relationship with the knowledge graph through tag classification of interactive text information, thereby enhancing the speed of feeding back a question and a response of a user, saving time for various fixed reports, data pulling, progress inquiries, and the like every week, improving user experience, facilitating rapid acquisition of new requirements of the user, expanding service vacancy of a website, facilitating perfection of the website, and accelerating the iteration speed of the knowledge graph matched with the website.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A knowledge graph expanding method based on interaction is characterized by comprising the following steps:
s100, training a text processing neural network, matching classification labels of texts, and establishing a knowledge graph, wherein each information item in the knowledge graph is matched with a classification label group;
s110, acquiring interactive text information of a website, and performing labeling classification on each piece of interactive text information through the text processing neural network;
s120, traversing the knowledge graph according to the label of the interactive text information, and judging whether at least one information item meeting the label of the interactive text information can be found, if so, executing the step S130, otherwise, executing the step S140;
s130, feeding back the searched information items to a sending channel of the interactive text information;
s140, creating an information item in the knowledge graph based on the interactive text information.
2. The interaction-based knowledge graph expanding method as claimed in claim 1, wherein in step S130, the text similarity calculation is performed on the searched information items and the interactive text information, and the information item with the highest similarity is fed back to the transmission channel of the interactive text information.
3. The interaction-based knowledge-graph extending method of claim 1, wherein the set of class labels comprises at least one class label.
4. The interaction-based knowledgegraph expansion method of claim 1, wherein each information item in the knowledgegraph is further associated with at least one alert mailbox.
5. The interaction-based knowledge-graph expanding method according to claim 4, further comprising a step S150 of performing similarity calculation between a tag of the newly created information item and a tag of an information item of the knowledge-graph, sending the information item to an alarm mailbox corresponding to the information item with the highest similarity, and supplementing feedback from the alarm mailbox to at least the corresponding information item in the knowledge-graph.
6. The interaction-based knowledge-graph extending method according to claim 1, wherein the interaction text information includes at least one of a visitor message, a buyer message, and a seller message.
7. The interaction-based knowledge-graph extending method of claim 1, wherein the website is a travel e-commerce website, and the classification labels comprise: at least one of booking airline tickets, booking train tickets, booking cruise ships, booking hotels, booking travel products, home, overseas, and peripheral tours.
8. An interaction-based knowledge graph expanding system for implementing the interaction-based knowledge graph expanding method of claim 1, comprising:
the neural network module is used for training a text processing neural network and is used for matching classification labels of texts and establishing a knowledge graph, and each information item in the knowledge graph is matched with a classification label group;
the label classification module is used for collecting interactive text information of a website and performing labeling classification on each piece of interactive text information through the text processing neural network;
the label traversal module is used for traversing the knowledge graph according to the label of the interactive text information and judging whether at least one information item meeting the label of the interactive text information can be found, if so, the step information feedback module is executed, and if not, the item newly-built module is executed;
the information feedback module feeds the searched information items back to the transmission channel of the interactive text information;
and the item newly-establishing module is used for newly establishing an information item in the knowledge graph based on the interactive text information.
9. An interaction-based knowledge graph development device, comprising:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the interaction-based knowledge-graph extending method of any one of claims 1 to 7 via execution of the executable instructions.
10. A computer readable storage medium storing a program which when executed performs the steps of the interaction-based knowledge-graph propagation method of any one of claims 1 to 7.
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| CN202110484961.4A CN113157944A (en) | 2021-04-30 | 2021-04-30 | Interaction-based knowledge graph expanding method, system, equipment and storage medium |
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| US20170024375A1 (en) * | 2015-07-26 | 2017-01-26 | Microsoft Technology Licensing, Llc | Personal knowledge graph population from declarative user utterances |
| CN107329967A (en) * | 2017-05-12 | 2017-11-07 | 北京邮电大学 | Question answering system and method based on deep learning |
| CN111046133A (en) * | 2019-10-29 | 2020-04-21 | 平安科技（深圳）有限公司 | Question-answering method, question-answering equipment, storage medium and device based on atlas knowledge base |
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