CN109948128B - Auxiliary editing system - Google Patents
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- CN109948128B CN109948128B CN201910141810.1A CN201910141810A CN109948128B CN 109948128 B CN109948128 B CN 109948128B CN 201910141810 A CN201910141810 A CN 201910141810A CN 109948128 B CN109948128 B CN 109948128B
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Abstract
The invention provides an auxiliary editing system and method, comprising the following steps: the corpus is used for providing the corpus for generating the article manuscript; and providing different types of corpus for reference in editing the article manuscript; the manuscript generation module is used for processing the inputted keywords or the articles imported by the article importing module by combining the information associated with the keywords in the corpus to generate an article manuscript; and the editing module is used for editing the article manuscript according to the different types of the corpus provided by the corpus. By the above, the auxiliary editing system assists a user to carry out intelligent editing, and is beneficial to improving the efficiency and quality for writing.
Description
Technical Field
The invention relates to the field of auxiliary writing, in particular to an auxiliary editing 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 conventional article auxiliary system can generate a simple and original review article according to keywords input by a user, but the generated article possibly enters and exits from the expectation of the user to a certain extent, so that further editing is needed, and the current editing mode still carries out further organization and adjustment on the first draft of the article completely by the personal capability, so that the efficiency and quality of writing are not beneficial to improvement.
Therefore, there is a need for an auxiliary editing system to assist the user in performing intelligent auxiliary editing to improve the writing efficiency and quality.
Disclosure of Invention
In view of this, the present application provides an auxiliary editing system to assist the user in performing intelligent editing to improve the efficiency and quality of writing.
The application provides an auxiliary editing system, including:
the corpus is used for providing the corpus for generating the article manuscript; and providing different types of corpus for reference in editing the article manuscript;
the manuscript generation module is used for processing the inputted keywords or the articles imported by the article importing module by combining the information associated with the keywords in the corpus to generate an article manuscript;
and the editing module is used for editing the article manuscript according to the different types of the corpus provided by the corpus.
By the above, the auxiliary editing system is beneficial to assisting the user in intelligent editing so as to improve the efficiency and quality of writing.
Preferably, the corpus provides the different types of corpus for reference in editing the article manuscript, including at least one of the following: recommending reference corpus, historical related corpus, online search corpus and point review corpus;
the article importing module imports articles in at least one of the following ways: and (5) importing the file and importing the file.
From above, the file importation may be word importation or importation in the form of other files.
Preferably, the system further comprises:
the reference topic selecting module is used for providing types of written topics for reference and articles under each type before the article manuscript is generated.
Therefore, the method is beneficial to providing the topic selection reference for the user.
Preferably, the system further comprises:
and the network hot search topic display module is used for providing keyword ranking of the current network hot search topics of each search engine before the article manuscript is generated.
Therefore, the method is beneficial to providing the topic selection reference for the user.
Preferably, the system further comprises:
the first search module is used for searching information related to the keywords according to the input keywords before the article manuscript is generated and displaying the generated articles related to the search keywords in a list; and displaying articles related to the search keywords obtained by the network search in another list.
Thus, the method is beneficial to providing written references for users.
Preferably, the system further comprises:
the keyword modification module is used for providing keyword modification options after the article manuscript is generated; wherein the keyword modification options include: keywords need to be added, deleted and/or customized;
and the article title modification module is used for providing an article title modification frame after the article manuscript is generated.
Therefore, the method is beneficial to the adjustment of the writing direction and the content by the user.
Preferably, the system further comprises:
and the second search module is used for displaying a search engine link for clicking and acquiring information related to the keyword beside the keyword modified by the keyword modification module.
Therefore, the information related to the keyword is beneficial to acquiring, and the written reference is beneficial to providing for the user. Wherein the search engine links include at least but are not limited to: microblog, known, hundred degrees, bean cotyledon.
Preferably, the editing module is specifically configured to: and dragging and copying the selected corpus in the corpus library and/or the corpus related to the keywords obtained in the search engine link to a text editing interface area of the article manuscript.
From the above, the copying manner may be other manners. The editing of the article manuscript is facilitated.
Preferably, the system further comprises:
and the one-key updating module is used for providing one-key updating options to generate a second manuscript of the article after the keyword is modified and the corpus in the corpus and/or the corpus related to the keyword acquired in the search engine link is selected to be copied to the area to be edited of the article manuscript after the article manuscript is generated.
By the method, automatic editing is provided automatically according to the materials provided by the user again, and language fluency organization is carried out.
Preferably, the editing module is further configured to: and performing text editing processing on the first manuscript of the article or the second manuscript of the article through the text editing function.
Thus, the user can edit the article again by manual work
Preferably, the system further comprises:
the storage module is used for storing the edited article;
and the article export module is used for providing export options to export the written article.
From this, the completed file may be exported by one-touch or copy.
In summary, the auxiliary editing system provided by the application is beneficial to assisting the user in intelligent editing so as to improve the efficiency and quality of writing.
Drawings
Fig. 1 is a schematic structural diagram of an auxiliary editing system according to an embodiment of the present application.
Description of the embodiments
The present application will be described below with reference to the drawings in the embodiments of the present application.
Examples
The application provides an auxiliary editing system, including:
a corpus 101 for providing a corpus for generating article manuscripts; and providing different types of corpus for reference in editing the article manuscript; the types of the different types of the corpus provided by the corpus for reference in the process of editing the article manuscript at least comprise but are not limited to one of the following: recommended reference corpus, historical related corpus, online search corpus, and point review corpus.
The manuscript generation module 102 is used for processing the inputted keywords or the articles imported by the article importing module by combining the information associated with the keywords in the corpus to generate an article manuscript; the article importing module imports articles in at least one of the following ways: and (5) importing the file and importing the file. The file importation may be a word importation or other file-form importation.
Wherein the manuscript generation module 102 includes:
the data acquisition sub-module is used for acquiring corpus data; the data acquisition module is specifically configured to: the method comprises the steps of obtaining corpus data of a corpus, wherein the corpus data comprise prestored corpus data and corpus data obtained by crawling network corpus data in real time.
The information association sub-module is used for carrying out information association on the corpus data according to the internal relation of the corpus data; an internal contact herein is a contact between events, people, places or event types described by corpus content. This relationship is determined by neural network model algorithms and can be understood and appreciated by human readers or editors.
The data extraction sub-module is used for processing the corpus after information association to extract 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 content value is described as a high-dimensional mathematical model based on content semantics, and the value parameters involved include the events described in the corpus content, the participating or related persons, the event occurrence location, time, event progress, the context of the event, and so forth.
An index establishing sub-module for establishing the index of the key words and the information fragments;
and the article manuscript generation sub-module is used for acquiring information fragments related to the keywords according to the input keywords, processing the information fragments to generate an article manuscript and displaying the article manuscript to a user.
The article manuscript generation sub-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; 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 corpus 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.
C. And generating an article manuscript according to the information fragment corresponding to the path, and displaying the article manuscript to a user.
And the editing module 103 is used for editing the article manuscript according to the different types of corpus provided by the corpus.
Wherein the system further comprises:
the reference topic selection module 104 is used for providing the types of written topics for reference and the articles under each type before the article manuscript is generated. Is favorable for providing the topic selection reference for the user.
The network hot topic display module 105 is configured to provide keyword ranking of the current network hot topic of each search engine before the article manuscript is generated. Is favorable for providing the topic selection reference for the user.
A first search module 106, configured to search for information related to the keyword according to the input keyword and display, in a list, articles related to the search keyword that have been generated in the system, before the article manuscript is generated; and displaying articles related to the search keywords obtained by the network search in another list. And the method is beneficial to providing written references for users.
A keyword modification module 107, configured to provide a keyword modification option after the article draft is generated; wherein the keyword modification options include: keywords need to be added, deleted and/or customized;
the article title modification module 108 is configured to provide an article title modification box after the article manuscript is generated. The method is beneficial to the adjustment of the writing direction by the user.
A second search module 109 for displaying a search engine link for clicking to acquire information related to the keyword beside the keyword modified by the keyword modification module. Information related to the keyword is facilitated to be acquired, and written references are facilitated to be provided for users. Wherein the search engine links include, but are not limited to: microblog, known, hundred degrees, bean cotyledon.
Wherein, the editing module 103 is specifically configured to: and dragging and copying the selected corpus in the corpus library and/or the corpus related to the keywords obtained in the search engine link to a text editing interface area of the article manuscript. The copying mode can be other modes. The editing of the article manuscript is facilitated.
The system further comprises:
the one-key updating module 110 is configured to provide a one-key updating option to generate a second manuscript of the article after the keyword is modified and the corpus in the corpus and/or the corpus related to the keyword obtained in the search engine link is selected and copied to the to-be-edited region of the article manuscript after the article manuscript is generated. Therefore, the method is beneficial to automatically providing automatic editing according to the materials provided by the user again and organizing the language fluency.
Wherein, the editing module 103 is further configured to: and performing text editing processing on the first manuscript of the article or the second manuscript of the article through the text editing function. Thus, the user can edit the article again by a manual effort.
The system further comprises:
a saving module 111, configured to save the edited article;
the article export module 112 is configured to provide export options to export articles that complete authoring. Thus, the completed file may be exported in one-touch or copy.
In summary, the auxiliary editing system provided by the application is beneficial to assisting the user in intelligent editing so as to improve the efficiency and quality of writing.
Examples
The application also provides an auxiliary editing method based on the auxiliary editing system, which comprises the following steps:
the auxiliary editing method provided by the application comprises the following steps:
s201, before the article manuscript is generated, the types of the written topics for reference and the articles under each type are provided by referring to the topic selection module 104. Is favorable for providing the topic selection reference for the user.
Before the article manuscript is generated, and through the network hot topic display module 105, keyword ranking of the current network hot topics of each search engine is provided. Is favorable for providing the topic selection reference for the user.
Before the article manuscript is generated, searching information related to the keywords according to the input keywords through a first search module 106 and displaying the generated articles related to the search keywords in a list; and displaying articles related to the search keywords obtained by the network search in another list. And the method is beneficial to providing written references for users.
S202, processing and generating an article manuscript by combining information associated with the keyword in the corpus through the keyword input or the article imported by the article importing module to the manuscript generating module 102; the article importing module imports articles in at least one of the following ways: and (5) importing the file and importing the file. The file importation may be a word importation or other file-form importation.
The corpus 101 is used for providing a corpus for generating an article manuscript; and providing different types of corpus for reference in editing the article manuscript; the types of the different types of the corpus provided by the corpus for reference in the process of editing the article manuscript at least comprise but are not limited to one of the following: recommended reference corpus, historical related corpus, online search corpus, and point review corpus.
S203, after the article manuscript is generated, modifying through the keyword modification options provided by the keyword modification module 107; wherein the keyword modification options include: keywords need to be added, deleted and/or customized; and an article title modification box provided by the article title modification module 108.
S204, displaying, by the second search module 109, a search engine link for clicking to acquire information related to the keyword beside the keyword modified by the keyword modification module. Information related to the keyword is facilitated to be acquired, and written references are facilitated to be provided for users. Wherein the search engine links include, but are not limited to: microblog, known, hundred degrees, bean cotyledon.
S205, through the editing module 103, dragging and copying the selected corpus in the corpus and/or the corpus related to the keywords obtained in the search engine link to a text editing interface area of the article manuscript. The copying mode can be other modes.
S206, after the keyword is modified and the corpus in the corpus and/or the corpus related to the keyword obtained in the search engine link is selected and copied to the to-be-edited area of the article manuscript, a one-key updating option is provided through the one-key updating module 110 to generate a second manuscript of the article. Therefore, the method is beneficial to automatically providing automatic editing according to the materials provided by the user again and organizing the language fluency.
S207, performing text editing processing on the first manuscript of the article or the second manuscript of the article through the text editing function of the editing module 103. Thus, the user can edit the article again by a manual effort.
S208, storing the edited article through a storage module;
s207, an export option is provided by the article export module to export the written article. Thus, the completed file may be exported in one-touch or copy.
In summary, the auxiliary editing system provided by the application is beneficial to assisting the user in intelligent editing so as to improve the efficiency and quality of writing.
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 (11)
1. An auxiliary editing system, comprising:
the corpus is used for providing the corpus for generating the article manuscript; and providing different types of corpus for reference in editing the article manuscript;
the manuscript generation module is used for processing the inputted keywords or the articles imported by the article importing module by combining the information associated with the keywords in the corpus to generate an article manuscript; wherein, the manuscript generation module includes:
the data acquisition sub-module is used for acquiring the corpus data of the corpus;
the information association sub-module is used for carrying out information association on the corpus data according to the internal relation of the corpus data;
the data extraction sub-module is used for processing the corpus data after information association to extract information fragments meeting the specified content value standard;
an index establishing sub-module for establishing the index of the key words and the information fragments;
the article manuscript generation sub-module is used for acquiring information fragments related to the keywords according to the input keywords, processing the information fragments to generate an article manuscript and displaying the article manuscript to a user; the article manuscript generation submodule 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 number of coverage topics;
C. generating an article manuscript according to the information fragment corresponding to the path, and displaying the article manuscript to a user;
and the editing module is used for editing the article manuscript according to the different types of the corpus provided by the corpus.
2. The system of claim 1, wherein the types of different types of corpora provided by the corpus for reference in editing an article draft include at least one of: recommending reference corpus, historical related corpus, online search corpus and point review corpus;
the article importing module imports articles in a manner at least comprising one of the following: and (5) importing the file and importing the file.
3. The system of claim 1, further comprising:
the reference topic selecting module is used for providing types of written topics for reference and articles under each type before the article manuscript is generated.
4. The system of claim 1, further comprising:
and the network hot search topic display module is used for providing keyword ranking of the current network hot search topics of each search engine before the article manuscript is generated.
5. The system of claim 1, further comprising:
the first search module is used for searching information related to the keywords according to the input keywords before the article manuscript is generated and displaying the generated articles related to the keywords in a list; and displaying the articles related to the keywords obtained by the network search in another list.
6. The system of claim 1, further comprising:
the keyword modification module is used for providing keyword modification options after the article manuscript is generated; wherein the keyword modification options include: keywords need to be added, deleted and/or customized;
and the article title modification module is used for providing an article title modification frame after the article manuscript is generated.
7. The system of claim 6, further comprising:
the second search module is used for displaying a search engine link for clicking and acquiring information related to the keyword beside the keyword modified by the keyword modification module;
wherein the search engine link comprises: microblog, knowledgeable, hundred degrees, or bean cotyledon.
8. The system according to claim 7, wherein the editing module is specifically configured to: and dragging and copying the selected corpus in the corpus library and/or the corpus related to the keywords obtained in the search engine link to a text editing interface area of the article manuscript.
9. The system of claim 8, further comprising:
and the one-key updating module is used for providing one-key updating options to generate a second manuscript of the article after the keyword is modified and the corpus in the corpus and/or the corpus related to the keyword acquired in the search engine link is selected to be copied to the area to be edited of the article manuscript after the article manuscript is generated.
10. The system of claim 9, wherein the editing module is further configured to: and performing text editing processing on the first manuscript of the article or the second manuscript of the article through the text editing function.
11. The system of claim 10, further comprising:
the storage module is used for storing the edited article;
and the article export module is used for providing export options to export the written article.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW200905606A (en) * | 2007-07-26 | 2009-02-01 | Eluhome Co Ltd | Platform of network created propaganda article and its method |
CN101393545A (en) * | 2008-11-06 | 2009-03-25 | 新百丽鞋业(深圳)有限公司 | Method for implementing automatic abstracting by utilizing association model |
CN106777193A (en) * | 2016-12-23 | 2017-05-31 | 李鹏 | A kind of method for writing specific contribution automatically |
CN106844322A (en) * | 2017-01-22 | 2017-06-13 | 百度在线网络技术(北京)有限公司 | Intelligent article generation method and device |
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 |
---|---|---|---|---|
US20010047362A1 (en) * | 1999-12-30 | 2001-11-29 | Matthew Comroe | Automated web site publishing and design system |
-
2019
- 2019-02-26 CN CN201910141810.1A patent/CN109948128B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW200905606A (en) * | 2007-07-26 | 2009-02-01 | Eluhome Co Ltd | Platform of network created propaganda article and its method |
CN101393545A (en) * | 2008-11-06 | 2009-03-25 | 新百丽鞋业(深圳)有限公司 | Method for implementing automatic abstracting by utilizing association model |
CN106777193A (en) * | 2016-12-23 | 2017-05-31 | 李鹏 | A kind of method for writing specific contribution automatically |
CN106844322A (en) * | 2017-01-22 | 2017-06-13 | 百度在线网络技术(北京)有限公司 | Intelligent article generation method and device |
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 (1)
Title |
---|
基于Blog的过程写作法及其英语写作课堂实践;刘婧;《科技信息》;20100615(第17期);全文 * |
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