CN109388788B - Intelligent auxiliary writing system - Google Patents
Intelligent auxiliary writing system Download PDFInfo
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- CN109388788B CN109388788B CN201810404295.7A CN201810404295A CN109388788B CN 109388788 B CN109388788 B CN 109388788B CN 201810404295 A CN201810404295 A CN 201810404295A CN 109388788 B CN109388788 B CN 109388788B
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Abstract
The invention provides an intelligent auxiliary writing system, which comprises: the data acquisition module is used for acquiring information data; the information association module is used for carrying out information association on the information data according to the internal relation of the information data; the data extraction module is used for processing the information after the information association to extract the information fragments meeting the specified content value standard; the index establishing module establishes indexes of the keywords and the information fragments; the data query module is used for acquiring information fragments related to the input keywords according to the input keywords; and the writing scheme generating module is used for processing the related information fragments to generate a writing scheme and displaying the writing scheme to a user. By the method, the writing scheme is automatically generated and displayed to the user, so that the user is helped to be assisted in realizing quick and effective writing.
Description
Technical Field
The invention relates to the field of auxiliary writing, in particular to an intelligent auxiliary writing system.
Background
Writing is a skill often required in the current society, but because everyone does not have good writing capability, sometimes the situation that an article title or title keyword exists, but a sentence is not known or the article content is not developed for writing is often caused. The prior article auxiliary system is that when a user edits a file through a file editing program, example sentences including input words are extracted according to the current words input by the user, and then displayed for the user to select. Although this approach may prompt the user for alternative example sentences while editing the document when the user already knows how to compose the article, the user still cannot know how to proceed with the composition of the article for the user who knows only the article title or a few discrete keywords.
Therefore, there is a need for an intelligent auxiliary writing system to facilitate the user to quickly and effectively write.
Disclosure of Invention
In view of the above, the present application provides an intelligent auxiliary writing system, which is beneficial to assisting a user in realizing quick and effective writing.
The application provides an intelligent auxiliary writing system, includes:
the data acquisition module is used for acquiring information data;
the information association module is used for carrying out information association on the information data according to the internal relation of the information data;
the data extraction module is used for processing the information after the information association to extract the information fragments meeting the specified content value standard;
the index establishing module establishes indexes of the keywords and the information fragments;
the data query module is used for acquiring information fragments related to the input keywords according to the input keywords;
and the writing scheme generating module is used for processing the associated information fragments to generate a writing scheme and displaying the writing scheme to a user.
By the method, the writing scheme (the writing scheme can be a first draft of an article) is automatically generated and displayed to the user, and the method is beneficial to assisting the user in realizing quick and effective writing.
Preferably, the system further comprises:
and the schema display module is used for displaying the associated information fragments acquired by the data query module in sequence.
By the method, the display is beneficial to assisting a user in selecting so as to realize quick and effective writing.
Preferably, the system further comprises:
and the document editing module is used for editing the writing scheme generated by the writing scheme generating module and/or the information fragment displayed by the schema display module.
By the aid of the document editing module, the generated writing scheme can be further edited, and the information fragments displayed by the schema display module can be added into the writing scheme through editing means. Wherein, the forms of the file editing module include but are not limited to: the writing auxiliary system is provided with an editing module, a browser-based online document system or a word processing system and various independent word processing software. Wherein, each relevant module can be embedded into the existing document editing system, and endow the system with the function of artificial intelligence auxiliary writing. Wherein, each relevant module can be embedded into the existing document editing system, and endow the system with the function of artificial intelligence auxiliary writing.
Preferably, the system further comprises:
and the multidimensional scoring module is used for multidimensional scoring of the article edited by the document editing module.
By the method, the multidimensional scoring module can correspondingly score after the user edits the document each time, thereby being beneficial to assisting the user in improving the writing quality.
Preferably, the system further comprises:
and the modification suggestion module is used for making modification suggestions for the article after the multidimensional scoring.
Therefore, the method is beneficial to assisting the user in improving the writing quality.
Preferably, the system further comprises:
the storage module is used for carrying out structural storage on the information data acquired by the data acquisition module; the information data is used for storing information after information association; the information segments which are extracted by the data extraction module and accord with the appointed content value standard are stored; and an index for storing the keyword and the information piece; the information storage module is used for storing the information edited by the document editing module; and storing the multi-dimensional scoring content of the multi-dimensional scoring module.
Preferably, the data acquisition module is specifically configured to:
acquiring data of different time, different types and different channel sources; or alternatively
Data specifying a time, a type, and/or a channel source is obtained.
By the method, data can be acquired without differentiation (acquired data is wider and more comprehensive), and data from appointed time, appointed type and/or appointed channel can be acquired as required (acquired data is targeted, and subsequent processing is faster and more convenient).
Preferably, the writing scheme generating module is specifically configured to:
A. forming a knowledge graph of the graphical representation according to the knowledge correlation of the content value of the related information fragment; wherein, the nodes in the map represent content value points, and the connection lines among the points in the map represent the association relations among the content value points;
B. taking any content value point in the knowledge graph as a starting point, traversing the content value point in the graph according to the connection relation between the points in the graph to obtain an optimal path consisting of the content value point and the connection relation between the points;
C. and generating a writing scheme according to the information fragment corresponding to the path, and displaying the writing scheme to a user.
By the method, the writing scheme (the writing scheme can be a first draft of an article) is automatically generated and displayed to the user, and the method is beneficial to assisting the user in realizing quick and effective writing.
In summary, according to the intelligent auxiliary writing system provided by the application, the writing scheme (the writing scheme can be a manuscript of an article) is automatically generated and displayed to the user, so that the user is helped to be assisted to quickly and effectively write. Further editing of the generated writing scheme through the document editing module and scoring of the articles edited by the user through the multidimensional scoring module can be beneficial to assisting the user in further improving the writing quality.
Drawings
Fig. 1 is a schematic diagram of an intelligent aided writing system according to an embodiment of the present application.
Detailed Description
The present application will be described below with reference to the drawings in the embodiments of the present application.
Examples
The application provides an intelligent auxiliary writing system, includes:
the data acquisition module is used for acquiring information data; the data acquisition module is specifically configured to: acquiring data of different time, different types and different channel sources; or alternatively
Data specifying a time, a type, and/or a channel source is obtained. By the method, data can be acquired without differentiation (acquired data is wider and more comprehensive), and data from appointed time, appointed type and/or appointed channel can be acquired as required (acquired data is targeted, and subsequent processing is faster and more convenient). In addition, it may also perform crawling according to a certain algorithm or strategy, for example, crawling may be performed for information that the popularity/attention of different time periods exceeds a set value.
The information association module is used for carrying out information association on the information data according to the internal relation of the information data; an internal connection is herein a connection between events, persons, places or event types described by the information content. This relationship is determined by neural network model algorithms and can be understood and appreciated by human readers or editors.
The data extraction module is used for processing the information after the information association to extract the information fragments meeting the specified content value standard; the judgment of the content value is based on the processing of a neural network model trained by massive corpora. The correlation model is continuously trained by a machine learning system in an unsupervised learning mode. The internal data of the content value is described as a high-dimensional mathematical model based on the content semantics, and the value parameters involved include the events described in the information content, the participating or related persons, the event occurrence location, time, event progress, the context of the event, etc.
The index establishing module establishes indexes of the keywords and the information fragments;
the data query module is used for acquiring information fragments related to the input keywords according to the input keywords; (wherein the data query module may be a search engine, and the information extracted by the data extraction module may be fed into the search engine, and may be queried by the search engine)
And the writing scheme generating module is used for processing the associated information fragments acquired by the data query module to generate a writing scheme (the writing scheme can be a primary manuscript of an article) for display to a user. The method is beneficial to assisting the user to realize quick and effective writing.
Wherein the system further comprises:
the schema display module is used for displaying the associated information fragments according to the association relation among the associated information fragments acquired by the data query module in sequence. The presentation facilitates assisting the user in making selections to achieve quick and efficient writing.
Wherein the system further comprises:
and the document editing module is used for editing the writing scheme generated by the writing scheme generating module and/or the information fragment displayed by the schema display module. Therefore, the document editing module is beneficial to further editing the generated writing scheme and adding the information fragment displayed by the schema display module into the writing scheme through editing means. The forms of the document editing module include, but are not limited to: the writing auxiliary system is provided with an editing module, a browser-based online document system or a word processing system and various independent word processing software. Wherein, each relevant module can be embedded into the existing document editing system, and endow the system with the function of artificial intelligence auxiliary writing. Wherein, each relevant module can be embedded into the existing document editing system, and endow the system with the function of artificial intelligence auxiliary writing.
Wherein the system further comprises:
and the multidimensional scoring module is used for multidimensional scoring of the article edited by the document editing module. The multidimensional scoring module can correspondingly score after the user edits the document each time, thereby being beneficial to assisting the user in improving the writing quality.
Wherein the multi-dimensional scoring items include, but are not limited to: the richness of the vocabulary (the articles are rich, the score of the articles is higher), the length of the articles (the length of news information articles is not too long or too short), the relative density (the coverage is wide, the articles are concise, the score is higher), and the richness (the more the coverage topics are, the higher the score is).
Wherein the system further comprises:
and the modification suggestion module is used for making modification suggestions for the article after the multidimensional scoring. The modification suggestion is a proposed modification suggestion corresponding to the item of the multi-dimensional score.
Wherein the system further comprises:
the storage module is used for carrying out structured storage on the information data acquired by the data acquisition module (the structured storage is to apply the principle of a tree file system to a single file, so that the single file can also contain a subdirectory like the file system, the subdirectory can also contain a deeper subdirectory, each directory can contain a plurality of files, and the content which is originally needed to be stored in a plurality of files is stored in one file according to the tree structure and the hierarchy); and storing the valuable information fragments extracted by the data extraction module; and an index for storing the keyword and the information piece; the information storage module is used for storing the information edited by the document editing module; and storing the multi-dimensional scoring content of the multi-dimensional scoring module.
The writing scheme generating module is specifically configured to:
A. forming a knowledge graph of the graphical representation according to the knowledge correlation of the content value of the related information fragment; wherein, the nodes in the map represent content value points, and the connection lines among the points in the map represent the association relations among the content value points;
the knowledge correlation among the content values is comprehensively analyzed through a neural network model.
B. Taking any content value point in the knowledge graph as a starting point, traversing the content value point in the graph according to the connection relation between the points in the graph to obtain an optimal path consisting of the content value point and the connection relation between the points;
C. and generating a writing scheme according to the information fragment corresponding to the path, and displaying the writing scheme to a user.
Wherein the optimal criteria in B may relate to: fluency of the connection between sentences and paragraphs, richness of the vocabulary (the articles are rich, the score of the articles is higher), length of the articles (the length of news information articles is not too long or too short), relative density (the coverage is wide, the articles are concise, the score is higher), richness (the more the coverage topics are, the higher the score is), and the like.
In summary, according to the intelligent auxiliary writing system provided by the application, the writing scheme (the writing scheme can be a manuscript of an article) is automatically generated and displayed to the user, so that the user is helped to be assisted to quickly and effectively write. Further editing of the generated writing scheme through the document editing module and scoring of the articles edited by the user through the multidimensional scoring module can be beneficial to assisting the user in further improving the writing quality.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (7)
1. An intelligent aided authoring system comprising:
the data acquisition module is used for acquiring information data;
the information association module is used for carrying out information association on the information data according to the internal relation of the information data;
the data extraction module is used for processing the information after the information association to extract the information fragments meeting the specified content value standard;
the index establishing module establishes indexes of the keywords and the information fragments;
the data query module is used for acquiring information fragments related to the input keywords according to the input keywords;
the writing scheme generation module is used for processing the associated information fragments to generate a writing scheme and displaying the writing scheme to a user, wherein the writing scheme generation module is specifically used for:
A. forming a knowledge graph of the graphical representation according to knowledge correlation of the content value of the associated information fragment; wherein, the nodes in the knowledge graph represent content value points, and the connection lines among the nodes in the knowledge graph represent the association relations among the content value points;
B. taking any content value point in the knowledge graph as a starting point, traversing the content value point in the knowledge graph according to the connection relation between the nodes in the knowledge graph to obtain an optimal path consisting of the content value point and the connection relation between the nodes; wherein the optimal criteria include: fluency of the connection between sentences and paragraphs, richness of vocabulary, length of articles, relative density, or richness of coverage theme;
C. and generating a writing scheme according to the information fragment corresponding to the path, and displaying the writing scheme to a user.
2. The system of claim 1, further comprising:
and the schema display module is used for displaying the associated information fragments acquired by the data query module in sequence.
3. The system of claim 2, further comprising:
and the document editing module is used for editing the writing scheme generated by the writing scheme generating module and/or the information fragment displayed by the schema display module.
4. A system according to claim 3, further comprising:
and the multidimensional scoring module is used for multidimensional scoring of the article edited by the document editing module.
5. The system of claim 4, further comprising:
and the modification suggestion module is used for making modification suggestions for the article after the multidimensional scoring.
6. The system according to claim 4 or 5, further comprising:
the storage module is used for carrying out structural storage on the information data acquired by the data acquisition module; the information data is used for storing information after information association; the information segments which are extracted by the data extraction module and accord with the appointed content value standard are stored; and an index for storing the keyword and the information piece; the information storage module is used for storing the information edited by the document editing module; and storing the multi-dimensional scoring content of the multi-dimensional scoring module.
7. The system according to claim 1, wherein the data acquisition module is specifically configured to:
acquiring data of different time, different types and different channel sources; or alternatively
Data specifying a time, a type, and/or a channel source is obtained.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| AU2019229364A1 (en) * | 2019-09-11 | 2021-03-25 | Tao Chen | Word processor |
| CN113360702A (en) * | 2021-06-15 | 2021-09-07 | 读书郎教育科技有限公司 | System and method capable of assisting in tourism writing |
| CN116992834B (en) * | 2023-09-27 | 2024-01-05 | 国高信息技术产业研究院(山东)集团有限公司 | Auxiliary writing method, system, medium and electronic equipment based on artificial intelligence |
| CN117610535B (en) * | 2023-12-29 | 2024-05-31 | 北京七麦科技股份有限公司 | AI writing method and system based on extensible model |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102279846A (en) * | 2010-06-10 | 2011-12-14 | 英业达股份有限公司 | Article assisting writing system and method thereof |
| CN103699663A (en) * | 2013-12-27 | 2014-04-02 | 中国科学院自动化研究所 | Hot event mining method based on large-scale knowledge base |
| CN105279264A (en) * | 2015-10-26 | 2016-01-27 | 深圳市智搜信息技术有限公司 | Semantic relevancy calculation method of document |
| CN105956119A (en) * | 2016-05-06 | 2016-09-21 | 长沙市麓智信息科技有限公司 | Patent write auxiliary system and method |
| CN107315736A (en) * | 2017-06-22 | 2017-11-03 | 云天弈（北京）信息技术有限公司 | A kind of assisted writing system and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090083312A1 (en) * | 2007-09-20 | 2009-03-26 | O'neil Kevin P | Document composition system and method |
-
2018
- 2018-04-28 CN CN201810404295.7A patent/CN109388788B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102279846A (en) * | 2010-06-10 | 2011-12-14 | 英业达股份有限公司 | Article assisting writing system and method thereof |
| CN103699663A (en) * | 2013-12-27 | 2014-04-02 | 中国科学院自动化研究所 | Hot event mining method based on large-scale knowledge base |
| CN105279264A (en) * | 2015-10-26 | 2016-01-27 | 深圳市智搜信息技术有限公司 | Semantic relevancy calculation method of document |
| CN105956119A (en) * | 2016-05-06 | 2016-09-21 | 长沙市麓智信息科技有限公司 | Patent write auxiliary system and method |
| CN107315736A (en) * | 2017-06-22 | 2017-11-03 | 云天弈（北京）信息技术有限公司 | A kind of assisted writing system and method |
Non-Patent Citations (2)
| Title |
|---|
| "机器写作"驱动智媒时代;徐桢虎;《青年记者》;20171110(第31期);第54-55页 * |
| 知识图谱技术在新闻领域中的应用思考;宋卿等;《中国传媒科技》;20160515(第05期);全文 * |
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