CN106407168A - Automatic generation method for practical writing - Google Patents
Automatic generation method for practical writing Download PDFInfo
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- CN106407168A CN106407168A CN201610803388.8A CN201610803388A CN106407168A CN 106407168 A CN106407168 A CN 106407168A CN 201610803388 A CN201610803388 A CN 201610803388A CN 106407168 A CN106407168 A CN 106407168A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/237—Lexical tools
- G06F40/247—Thesauruses; Synonyms
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Abstract
The invention relates to an automatic generation method for practical writing. The automatic generation method comprises the following steps of 1), establishing a corpus; 2), selecting multiple applicable entities and inputting corresponding specific contents of the entities; 3), establishing a template library and selecting a template therefrom; and 4), polishing the selected template. By adoption of the automatic generation method for practical writing, the established corpus is large in data size; the selection of the applicable entities is accurate; the automatically generated practical writing has no unrelated content; sane contents of the practical writing applied to the same occasion are avoided; and instead, the practical writing is vivid in language, and basically not needed to be highly modified by a user, so that the actual application requirement can be well satisfied.
Description
Technical field
The invention belongs to Word message technical field of data processing is and in particular to a kind of practical writing automatic generation method.
Background technology
With the fast development of computer technology and the Internet, people no longer only assign computer as a kind of writing and carry
Body, instrument use, but start to allow computer play more, more intelligent effect, for example, carry out intelligence using computer auxiliary
Help writing, the especially templating such as writing practical writing requires higher style article.Because practical writing is a kind of limited type of writing, its
Form is more fixing, and templating degree is higher, and hence with computer, independently organization material automatically generates grasping of practical writing
The property made and practicality are very strong.Currently there is more automatically generating the method for practical writing using computer and realize these methods
Relative application software, but, the following defect of its generally existing：Set up corpus data volume is too little, selection that is being suitable for entity not
The practical writing degree that duplicates that in enough practical writings accurately, automatically generating, irrelevant contents are more, be applied to same occasion is higher, automatic
Mechanical uninteresting shortage vividness of article language generating etc..Therefore, generated using the practical writing automatic generation method of prior art
Practical writing generally require through manually carry out substantial amounts of modification and polishing just can meet use requirement, need expend people a lot
Energy and time.
Content of the invention
For above-mentioned problems of the prior art, it is an object of the invention to provide one kind can avoid the occurrence of above-mentioned skill
The practical writing automatic generation method of art defect.
In order to realize foregoing invention purpose, the technical scheme that the present invention provides is as follows：
A kind of practical writing automatic generation method, comprises the following steps：
Step 1) set up corpus；
Step 2) select multiple applicable entities and input its corresponding particular content；
Step 3) set up template base and therefrom select a template；
Step 4) selected template is polished.
Further, described step 1) it is specially：Using crawler technology, capture text, the language required for obtaining from network
Material；Remove the irrelevant contents in language material, retain the segmental structure of its original, then utilize it to constitute corpus.
Further, described step 2) it is specially：Practical writing according to user input is suitable for scene and selects multiple entities,
Constitute entity candidate, then entity candidate is filtered, selected further according to the experience reading text, obtain
Final multiple applicable entity, then inputs each again and is suitable for the particular content corresponding to entity.
Further, described step 3) it is specially：First analyze the paragraph structure of described corpus Chinese version, then analyze again
Section in structure it is established that from a piece to section again to sentence then to word template base.
Further, described step 4) it is specially：Word in selected template, sentence are carried out respectively synonym,
The replacement of the sentence of same meaning.
Further, described practical writing is athletic meeting opening speech.
Further, described step 1) it is specially：Using crawler technology, 30,000 opening speech are captured from the Internet；Using
The method of string matching, selects 1200 athletic meeting opening speech, then carries out pretreatment to this 1200 opening speech；Pretreatment
Mainly include the following steps that：(1) irrelevant contents in opening speech are removed, (2) retain the segmental structure of opening speech, and (3) filter out
Useless label and continuous null；
Constitute corpus using the opening speech through pretreatment.
Further, described step 2) in multiple applicable entity be time, mechanism, honored guest and school's overview.
Further, described step 3) it is specially：The athletic meeting opening speech of the entire chapter in corpus is divided into section；To address
Section, first section, rear are classified.
Further, described step 4) it is specially：According to the athletic meeting opening speech in corpus, select 40 to synonym,
Simultaneously with Harbin Institute of Technology's information retrieval experiment room《Chinese thesaurus (expansion board)》Synonymously dictionary is to synonymous
Word dictionary is extended, and the word in the synonym obtaining dictionary is stored in Hash table；Same using store in Hash table
Adopted word carries out synonym replacement to selected template article, and the search sentence of same meaning is come to selected template literary composition from corpus
The Zhang Jinhang sentence of same meaning is replaced, thus completing the polishing to the athletic meeting opening speech being generated, automatically generates university students' motion
Can opening speech.
The practical writing automatic generation method that the present invention provides, the corpus data volume of foundation is big, and the selection being suitable for entity is accurate
Really, there is no irrelevant contents in the practical writing automatically generating, the practical writing being applied to same occasion will not produce identical, article language
Vividly, substantially it is not required to very important person and carries out big modification again, the needs of practical application can be met well.
Brief description
Fig. 1 is the flow chart of the present invention.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with the accompanying drawings and be embodied as
The present invention will be further described for example.It should be appreciated that specific embodiment described herein is only in order to explain the present invention, and without
In the restriction present invention.
As shown in figure 1, a kind of practical writing automatic generation method, comprise the following steps：
Step 1) set up corpus；
Described step 1) it is specially：Using crawler technology, capture text, the language material required for obtaining from network；Remove language
Irrelevant contents in material, retain the segmental structure of its original, then utilize it to constitute corpus.
Step 2) select multiple applicable entities and input its corresponding particular content；
Described step 2) it is specially：Multiple entities are selected according to the applicable scene of practical writing, constitute entity candidate,
Then entity candidate is filtered, selected further according to the experience reading text, obtain final multiple applicable reality
Body, then inputs each and is suitable for the particular content corresponding to entity.When using, user needs every in human-computer interaction interface input
The individual particular content being suitable for corresponding to entity, such as input " spring " or " autumn " in " time " input field of computer,
Input " certain university " etc. in " mechanism " input field.
Step 3) set up template base and therefrom select a template；
Described step 3) it is specially：First analyze the paragraph structure of described corpus Chinese version, then the knot in Analysis Block again
Structure it is established that from a piece to section again to sentence then to word template base.User selects a template；If user's not modeling plate, that
Computer voluntarily selects a template according to the particular content being suitable for entity of user input.
Step 4) selected template is polished；
Described step 4) it is specially：The word of selected template article, sentence are carried out with synonym, the replacing of the sentence of same meaning
Change.
The present embodiment illustrates the specific embodiment of the present invention taking Universiade University Games opening speech as a example, specific as follows：
The first step, sets up the corpus of Universiade University Games opening speech；
Using crawler technology, from the Internet, capture 30,000 opening speech texts, using the method for string matching, from this 3
1200 Universiade University Games opening speech are selected in ten thousand opening speech；Then pretreatment is carried out to this 1200 opening speech, pre- place
Reason mainly includes the following steps that：(1) irrelevant contents in opening speech are removed, such as some advertisements, website are introduced, link etc.；(2)
Retain the segmental structure of opening speech, the label running into some line feed is entered a new line, such as</P>、</p>、<br>、<BR>Deng；(3)
Filter out useless label and continuous null；Finally, constitute corpus using the opening speech text through pretreatment.
Second step, selects the multiple applicable entity that is suitable for of Universiade University Games opening speech and to input it corresponding specifically interior
Hold；
Multiple entities are selected according to the applicable scene of athletic meeting opening speech, constitutes entity candidate, then adopt TF-
IDF algorithm or TextRank algorithm filter to entity candidate, are selected further according to the experience reading text, obtain
Final time, mechanism, honored guest and four applicable entities of school's overview, then, human-computer interaction interface input each be suitable for real
Particular content corresponding to body, such as school's name of Universiade University Games is held in input in " mechanism " input field of computer
Claim, input " spring " or " autumn " etc. in " time " input field.
3rd step, sets up the template base of Universiade University Games opening speech and therefrom selects a template；
Usually, an athletic meeting opening speech is generally divided into five sections, is respectively：Address section, first section, on interlude, middle
Section under, rear.Address section is exactly the opening remarks of opening speech, for example, " distinguished guests, global motion person, referee, always
Teachers, classmates：”.First section is exactly the first paragraph of opening speech, scenery at that time under mainly describing, then expressing gratitude,
For example " spring breeze brushes, willow fluttering, and bright and sunny, all things on earth is appeared again ... ..., to ... ... express thanks ".General on interlude
Exactly introduce school the policy for education in terms of physical culture and in terms of physical culture obtain achievement.It is exactly typically to express under interlude
To athletic expectation, the requirement to staff or spectators.Rear is exactly the final stage of opening speech, is exactly mainly to express
To athletic meeting, the blessing to athletes.
According to the feature of athletic meeting opening speech, the Universiade University Games opening speech of the entire chapter in corpus is divided into section, right
Address section, first section, rear are classified.
By the cluster to address section, address section is divided into honorific title class and natural kind two class.The title of opening speech by analysis
Exhale section, it can be found that the identity of the people making a speech is different, the respect language of first section has some fine distinctions.Typically deliver opening
Word speech nothing more than three class people：Student, teacher, Principal of School or a certain position leader.The difference of identity, can lead to talk
The tone has difference somewhat.Student, teacher, typically can be said hello to leader and personnel participating in the meeting with honorific title, and principal or neck
Lead, be more gentle, natural, steady, the cool tone.So, student, teacher can use " distinguished ... ", leaders' meeting
With " ... hello ".
By the cluster to first section, first section is divided into spring class, autumn class and three kinds of general class.University students' fortune by analysis
The first section of dynamic meeting opening speech finds：First section has obvious time response, and general first section all can first state the time at that time, first right
Time praise is.
By the cluster to rear, rear is divided three classes, is general category, blessing class, excitation class respectively.In order to build height
Without these words, high atmosphere, if ending can deliver some blessings or excitation, announces that opening ceremony terminates that is to say
If.
The present embodiment provides 18 kinds of type of writing templates.User input interaction be suitable for the particular content of entity after also to select
The template that oneself needs, obtains a template article；If user's not modeling plate, then computer also can be according to user input
The particular content being suitable for entity voluntarily selects a template, obtains a template article.
4th step, polishes to selected template article；
According to the athletic meeting opening speech in corpus, select 40 to synonym, simultaneously with Harbin Institute of Technology's information inspection
Rope laboratory《Chinese thesaurus (expansion board)》Synonymously dictionary is extended to synonym dictionary, synonymous by obtain
Word in word dictionary stores in Hash table；Using the synonym of storage in Hash table, selected template article is carried out same
Adopted word is replaced, and the search sentence of same meaning to carry out sentence of same meaning replacement to selected template article from corpus, thus complete right
The polishing of the athletic meeting opening speech being generated, automatically generates a Universiade University Games opening speech.
The practical writing automatic generation method that the present invention provides, the corpus data volume of foundation is big, and the selection being suitable for entity is accurate
Really, there is no irrelevant contents in the practical writing automatically generating, the practical writing being applied to same occasion will not produce identical, article language
Vividly, substantially it is not required to very important person and carries out big modification again, the needs of practical application can be met well.
Embodiment described above only have expressed embodiments of the present invention, and its description is more concrete and detailed, but can not
Therefore it is interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art,
Without departing from the inventive concept of the premise, some deformation can also be made and improve, these broadly fall into the protection model of the present invention
Enclose.Therefore, the protection domain of patent of the present invention should be defined by claims.
Claims (10)
1. a kind of practical writing automatic generation method is it is characterised in that comprise the following steps：
1) set up corpus；
2) select multiple applicable entities and input its corresponding particular content；
3) set up template base and therefrom select a template；
4) selected template is polished.
2. the step 1 of practical writing automatic generation method according to claim 1) it is characterised in that described step 1) concrete
For：Using crawler technology, capture text, the language material required for obtaining from network；Remove the irrelevant contents in language material, retain it former
The segmental structure coming, then utilizes it to constitute corpus.
3. the step 2 of practical writing automatic generation method according to claim 1) it is characterised in that described step 2) concrete
For：Practical writing according to user input is suitable for scene and selects multiple entities, constitutes entity candidate, then to entity candidate
Item collection is filtered, and is selected further according to the experience reading text, obtains final multiple applicable entity, then inputs every again
The individual particular content being suitable for corresponding to entity.
4. the step 3 of practical writing automatic generation method according to claim 1) it is characterised in that described step 3) concrete
For：First analyze the paragraph structure of described corpus Chinese version, then again the structure in Analysis Block it is established that again to sentence from a piece to section
Then arrive the template base of word.
5. the step 4 of practical writing automatic generation method according to claim 1) it is characterised in that described step 4) concrete
For：Word in selected template, sentence are carried out respectively with the replacement of synonym, the sentence of same meaning.
6. the practical writing automatic generation method according to claim 1-5 is it is characterised in that described practical writing is sports meeting
Curtain word.
7. the practical writing automatic generation method according to claim 1-6 is it is characterised in that described step 1) it is specially：Adopt
With crawler technology, 30,000 opening speech are captured from the Internet.Using the method for string matching, select 1200 sports meetings
Curtain word.Then pretreatment is carried out to this 1200 opening speech.Pretreatment mainly includes the following steps that：(1) remove in opening speech
Irrelevant contents.(2) retain the segmental structure of opening speech.(3) useless label and continuous null are filtered out.
Constitute corpus using the opening speech through pretreatment.
8. the practical writing automatic generation method according to claim 1-7 is it is characterised in that described step 2) in multiple suitable
With entity be the time, mechanism, honored guest and school's overview.
9. the practical writing automatic generation method according to claim 1-8 is it is characterised in that described step 3) it is specially：?
The athletic meeting opening speech of the entire chapter in corpus is divided into section；Address section, first section, rear are classified.
10. the practical writing automatic generation method according to claim 1-9 is it is characterised in that described step 4) it is specially：Root
According to the athletic meeting opening speech in corpus, select 40 to synonym, simultaneously with Harbin Institute of Technology's information retrieval experiment room
《Chinese thesaurus (expansion board)》Synonymously dictionary is extended to synonym dictionary, by the synonym obtaining dictionary
Word stores in Hash table；Synonym using storage in Hash table carries out synonym replacement to selected template article,
And the search sentence of same meaning to carry out sentence of same meaning replacement to selected template article, thus completing to the fortune being generated from corpus
The polishing of dynamic meeting opening speech, automatically generates a Universiade University Games opening speech.
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| CN110209838A (en) * | 2019-06-10 | 2019-09-06 | 广东工业大学 | A kind of text template acquisition methods and relevant apparatus |
| CN111062201A (en) * | 2019-12-20 | 2020-04-24 | 北京百度网讯科技有限公司 | Method and apparatus for processing information |
| WO2021128768A1 (en) * | 2019-12-23 | 2021-07-01 | 苏宁易购集团股份有限公司 | Sports news writing method and apparatus based on natural language, and electronic device |
| CN111428472A (en) * | 2020-03-13 | 2020-07-17 | 浙江华坤道威数据科技有限公司 | Article automatic generation system and method based on natural language processing and image algorithm |
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| CN111832275A (en) * | 2020-09-21 | 2020-10-27 | 北京百度网讯科技有限公司 | Text creation method, device, equipment and storage medium |
| KR20210116379A (en) * | 2020-09-21 | 2021-09-27 | 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. | Method, apparatus for text generation, device and storage medium |
| CN111832275B (en) * | 2020-09-21 | 2022-02-25 | 北京百度网讯科技有限公司 | Text creation method, device, equipment and storage medium |
| KR102577514B1 (en) | 2020-09-21 | 2023-09-12 | 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. | Method, apparatus for text generation, device and storage medium |
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