CN108133030A - A kind of realization method and system for painting this question and answer - Google Patents

A kind of realization method and system for painting this question and answer Download PDF

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Publication number
CN108133030A
CN108133030A CN201711481777.4A CN201711481777A CN108133030A CN 108133030 A CN108133030 A CN 108133030A CN 201711481777 A CN201711481777 A CN 201711481777A CN 108133030 A CN108133030 A CN 108133030A
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question
answer
painting
painted
paints
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林莉凯
顾嘉唯
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Beijing Genius Intelligent Technology Co Ltd
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Beijing Genius Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33Querying
    • G06F16/332Query formulation
    • G06F16/3329Natural language query formulation or dialogue systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life

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Abstract

This application discloses a kind of realization method and system for painting this question and answer, this method includes:This page is painted in identification;It calculates and paints this effective reading progress;When the effective reading progress for painting this reaches unlock and paints this question and answer condition, this question and answer is painted in unlock.The present invention is extension of the knowledge mapping technology in new scene, realizes and paints this field question and answer.

Description

A kind of realization method and system for painting this question and answer
Technical field
This application involves computer technology, the communication technology, field of artificial intelligence, this question and answer is painted more particularly, to one kind Realization method and system.
Background technology
Knowledge mapping is a kind of data structure based on figure, is made of node and side.It is explicit knowledge's development process With a series of a variety of different data structures of structural relation, with visualization technique Description of Knowledge resource and its carrier, excavate, divide Analysis, structure, drafting and explicit knowledge and connecting each other between them.In knowledge mapping, each node represents real world Present in " entity ", " relationship " of each edge between entity and entity.Knowledge mapping is the most effective expression side of relationship Formula.Generally, knowledge mapping is exactly a relational network obtained from all different types of information are linked together.Know Know collection of illustrative plates and provide the ability that problem analysis is gone from the angle of " relationship ".
Knowledge mapping is a kind of prior art of maturation, and flow as shown in Figure 1 is needed to establish knowledge mapping.First with Artificial mode wins several target entity words from text;Then it is real that this several target is found by way of machine learning The common trait of pronouns, general term for nouns, numerals and measure words, after machine learning, feature can turn to a data model;Again by giving this mode input more Text after desk checking mode, step up the accuracy rate that machine automatically extracts entity word.It is built as shown in Figure 2 Knowledge mapping.
After knowledge mapping is established, between entity word attribute or entity word that its construction can be obtained by way of inquiry Relationship, as shown in Fig. 2, the property value that its attribute area can be found by entity word China is 9634057 squares of public affairs of entity word In, the property value of attribute population is entity word 13.5404 hundred million, and the property value in attribute capital is entity word Beijing.In knowledge Collection of illustrative plates field does not carry out painting the practice of this field question and answer also, and the present invention carries out painting this field question and answer by knowledge mapping technology, Extension for new scene.
Invention content
The embodiment of the present application provides a kind of realization method and system for painting this question and answer.At present also not knowledge mapping field into Row paints the practice of this field question and answer, and the present invention carries out painting this field question and answer by knowledge mapping technology, is the extension of new scene.
The present invention provides a kind of implementation method for painting this question and answer, this method includes:
This page is painted in identification;
It calculates and paints this effective reading progress;
When the effective reading progress for painting this reaches unlock and paints this question and answer condition, this question and answer is painted in unlock.
Preferably, this method further includes:
Extract the entity word painted in this content;Classify to the entity word;Knowledge graph is formed according to sorted entity word Spectrum.
Preferably, this method further includes:
When the effective reading progress for painting this, which not up to unlocks, paints this question and answer condition, effectively readding for this is painted described in resetting Reading progress.
Preferably, the identification is painted this page and is included:
This cover is painted in identification, this total page number is painted in acquisition;
Page in this is painted in identification, and calculate identification paints this interior number of pages.
Preferably, the identification is painted this page and is included:
It calculates and identifies that painting this cover starts lasting duration.
Preferably, the unlock is painted this question and answer condition and is included:It is described paint this interior number of pages be greater than or equal to paint this total page number 60%, and the lasting duration was more than 1 minute.
Preferably, the method further includes:
Unlock paint this question and answer be first unlock paint this question and answer in the case of, triggering paint this question and answer function.
Preferably, the entity word is named in the form of variable name;The form of the variable name is lookup type variable name Or insert content type variable name.
Preferably, this method further includes:The entity word is combined into sentence with template sentence, the template sentence is branch The sentence for arbitrarily painting this entity word is held, this question and answer is painted in the combination sentence support.
The present invention also provides a kind of system for painting this question and answer, which includes:Processor and memory;
It has program stored therein on the memory;
It is performed in described program, the processor is configured to identification and paints this cover;It calculates and paints this effective reading Progress;When the effective reading progress for painting this reaches unlock and paints this question and answer condition, this question and answer is painted in unlock.
Preferably, the processor is further configured to identification and paints this cover, this total page number is painted in acquisition;Page in this is painted in identification, And calculate identification paints this interior number of pages.
Preferably, the processor, which is further configured to calculate, identifies that painting this cover starts lasting duration.
Preferably, the processor is further configured to paint the situation for painting this question and answer that this question and answer is first unlock in unlock Under, this question and answer function is painted in triggering.
Preferably, the system is robot.
The present invention is extension of the knowledge mapping technology in new scene, realizes and paints this field question and answer.
Description of the drawings
Attached drawing described herein is used for providing further understanding of the present application, forms the part of the application, this Shen Illustrative embodiments and their description please do not form the improper restriction to the application for explaining the application.In the accompanying drawings:
Fig. 1 is the flow chart provided by the invention for establishing knowledge mapping;
Fig. 2 is knowledge mapping provided by the invention;
Fig. 3 is a kind of flow chart for the implementation method for painting this question and answer provided by the invention;
Fig. 4 is a kind of schematic diagram for the implementation method for painting this question and answer provided by the invention;
Fig. 5 is a kind of another schematic diagram for the implementation method for painting this question and answer provided by the invention;
Fig. 6 is the flow chart that sentence is realize combination in a kind of implementation method for painting this question and answer provided by the invention;
Fig. 7 is a kind of structure diagram for painting this question answering system provided by the invention;
Fig. 8 is another flow chart provided by the invention for establishing knowledge mapping.
Specific embodiment
Purpose, technical scheme and advantage to make the application are clearer, below in conjunction with the application specific embodiment and Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing Go out all other embodiments obtained under the premise of creative work, shall fall in the protection scope of this application.
Fig. 3 is a kind of flow chart for painting this question and answer implementation method provided by the invention, which includes:
Step 305, this page is painted in identification;
Before step 305 is performed, the knowledge mapping of this field is painted using the flow foundation of Fig. 1.Extraction is painted in this content Entity word;Classify to entity word, classification can be manual sort or machine sort;Knowledge is formed according to sorted entity word Collection of illustrative plates, as shown in Figure 8.Such as this Role Classification can will be painted as the types such as lovely, fearful, rough.With reference to Fig. 2, mesh is manually won Mark entity word is first to win several entity words by hand, tells machine, this cries " country ", and artificial correction result data is in machine Device mistake rejects these wrong data by the case that other words (such as cat, moon etc.) are also categorized into country in text.And Manual sort be we think one classification of record applaud environment national, welcome such human subject of country judge it is stronger Classification in the case of, it is possible to manually marked, then result led back in figure.The reality painted in this content being wherein drawn into Pronouns, general term for nouns, numerals and measure words is named in the form of variable name, is divided into lookup type variable name and is inserted content type variable name.What is be drawn into paints this content In entity word can combine sentence with the template sentence manually write, as shown in fig. 6, support paint this question and answer, template sentence is The sentence of this entity word is arbitrarily painted in support.
Step 305 is identified to painting this cover, this total page number is painted in acquisition;It is identified, and calculate to painting page in this This interior number of pages is painted in identification;The timing since user identifies cover calculates and identifies that painting this cover starts lasting duration.
Step 310, it calculates and paints this effective reading progress;
This interior number of pages of painting of identification is counted, the timing since user identifies cover.
Step 315, when the effective reading progress for painting this reaches unlock and paints this question and answer condition, this question and answer is painted in unlock;
Reach in the case that unlock paints this question and answer condition in the effective reading progress for painting this, that is, what is identified paints page in this Quantity, which is greater than or equal to, paints the 60% of this total page number, and the lasting duration was more than 1 minute.And it is originally asked in painting for unlock Answer be first unlock paint this question and answer in the case of, triggering paint this question and answer function.
In the case where the effective reading progress for painting this not up to unlocks and paints this question and answer condition, this is painted described in resetting Effective reading progress empties the effective reading data of calculating.
During the concrete application present invention, lookup type variable, variable is with () symbolic indication.User asks:(paint this angle Color) it is in which storySystem searching is associated (painting this title).User asks:(painting this role 1) and (painting this role 2) is (character relation)System searching is associated (character relation).Content type variable is inserted, variable is with () symbolic indication.System carries Go out:I is delithted with goes to play together with (painting this role).User inserts (painting this role) arbitrary in knowledge mapping.System proposes:I Meeting (role-act).User inserts (role-act) arbitrary in knowledge mapping.Above and what is be drawn into paints in this content Entity word combines the example of sentence with the template sentence manually write.Since the present invention is to the reality painted in this content that is drawn into Pronouns, general term for nouns, numerals and measure words carries out manual sort, will paint this Role Classification as the types such as lovely, fearful, rough.It carries out painting this question and answer between man-machine When, system proposes:It is stealthily said with you, I is a little afraid of (fearful paints this role) in fact, and user is inserted in knowledge mapping arbitrarily (can That is afraid of paints this role).System proposes:(lovely paints this role) is good (Sensate focus exercise that system is liked), I also imagine he one Sample, user inserts (lovely paints this role) arbitrary in knowledge mapping, and searches its associated (Sensate focus exercise that system is liked).
The present invention is extension of the knowledge mapping technology in new scene, realizes and paints this field question and answer.
Fig. 4 is a kind of schematic diagram for the implementation method for painting this question and answer provided by the invention;
The knowledge mapping of this field is painted using the flow foundation of Fig. 1.Extract the entity word painted in this content;To entity word point Class, classification can be manual sort or machine sort;Knowledge mapping is formed according to sorted entity word, as shown in Figure 8.Such as This Role Classification can will be painted as the types such as lovely, fearful, rough.With reference to Fig. 2, it is first to win by hand manually to win target entity word Several entity words, tell machine, this is cried " country ", and artificial correction result data is by other words in text in machine mistake In the case that (such as cat, moon etc.) is also categorized into country, these wrong data are rejected.And manual sort is to want to remember at us One classification of record applaud environment national, welcome such human subject of country judge stronger classification in the case of, so that it may Manually to be marked, then result led back in figure.The entity word painted in this content being wherein drawn into is the shape with variable name Formula is named, and is divided into lookup type variable name and is inserted content type variable name.The entity word painted in this content being drawn into can with it is artificial The template sentence composition combination sentence write, as shown in fig. 6, supporting to paint this question and answer, template sentence is to support arbitrarily to paint this entity word Sentence.
It is identified first to painting this cover, this total page number is painted in acquisition;It is identified, and calculate identification to painting page in this Paint this interior number of pages;The timing since user identifies cover calculates and identifies that painting this cover starts lasting duration.Then it calculates and paints This effective reading progress, counts this interior number of pages of painting of identification, the timing since user identifies cover.First judge to know Whether other this interior number of pages of painting is greater than or equal to more than or equal to painting the 60% of this total page number in this interior number of pages of painting of identification In the case of paint this total page number 60%, whether the duration of the timing since user identifies cover is judged more than 1 minute, in duration In the case of 1 minute, this question and answer is painted in unlock.And paint the situation for painting this question and answer that this question and answer is first unlock in unlock Under, this question and answer function is painted in triggering.It is not greater than or equal in this interior number of pages of painting of identification and paints the 60% of this total page number or from user The duration that identification cover starts timing is less than 1 minute, this effective reading progress is painted described in resetting, that is, empties the effective of calculating Read data.
During the concrete application present invention, lookup type variable, variable is with () symbolic indication.User asks:(paint this angle Color) it is in which storySystem searching is associated (painting this title).User asks:(painting this role 1) and (painting this role 2) is (character relation)System searching is associated (character relation).Content type variable is inserted, variable is with () symbolic indication.System carries Go out:I is delithted with goes to play together with (painting this role).User inserts (painting this role) arbitrary in knowledge mapping.System proposes:I Meeting (role-act).User inserts (role-act) arbitrary in knowledge mapping.Above and what is be drawn into paints in this content Entity word combines the example of sentence with the template sentence manually write.Since the present invention is to the reality painted in this content that is drawn into Pronouns, general term for nouns, numerals and measure words carries out manual sort, will paint this Role Classification as the types such as lovely, fearful, rough.It carries out painting this question and answer between man-machine When, system proposes:It is stealthily said with you, I is a little afraid of (fearful paints this role) in fact, and user is inserted in knowledge mapping arbitrarily (can That is afraid of paints this role).System proposes:(lovely paints this role) is good (Sensate focus exercise that system is liked), I also imagine he one Sample, user inserts (lovely paints this role) arbitrary in knowledge mapping, and searches its associated (Sensate focus exercise that system is liked).
Fig. 5 is a kind of another schematic diagram for the implementation method for painting this question and answer provided by the invention;
Whether the duration that Fig. 5 first judges the timing since user identifies cover compared to Fig. 4 then judges to identify more than 1 minute Paint this interior number of pages whether be greater than or equal to paint the 60% of this total page number.
The knowledge mapping of this field is painted using the flow foundation of Fig. 1.Extract the entity word painted in this content;To entity word point Class, classification can be manual sort or machine sort;Knowledge mapping is formed according to sorted entity word, as shown in Figure 8.Such as This Role Classification can will be painted as the types such as lovely, fearful, rough.With reference to Fig. 2, it is first to win by hand manually to win target entity word Several entity words, tell machine, this is cried " country ", and artificial correction result data is by other words in text in machine mistake In the case that (such as cat, moon etc.) is also categorized into country, these wrong data are rejected.And manual sort is to want to remember at us One classification of record applaud environment national, welcome such human subject of country judge stronger classification in the case of, so that it may Manually to be marked, then result led back in figure.The entity word painted in this content being wherein drawn into is the shape with variable name Formula is named, and is divided into lookup type variable name and is inserted content type variable name.The entity word painted in this content being drawn into can with it is artificial The template sentence composition combination sentence write, as shown in fig. 6, supporting to paint this question and answer, template sentence is to support arbitrarily to paint this entity word Sentence.
It is identified first to painting this cover, this total page number is painted in acquisition;It is identified, and calculate identification to painting page in this Paint this interior number of pages;The timing since user identifies cover calculates and identifies that painting this cover starts lasting duration.Then it calculates and paints This effective reading progress, counts this interior number of pages of painting of identification, the timing since user identifies cover.First judge to know Whether other this interior number of pages of painting is greater than or equal to more than or equal to painting the 60% of this total page number in this interior number of pages of painting of identification In the case of paint this total page number 60%, whether the duration of the timing since user identifies cover is judged more than 1 minute, in duration In the case of 1 minute, this question and answer is painted in unlock.And paint the situation for painting this question and answer that this question and answer is first unlock in unlock Under, this question and answer function is painted in triggering.It is not greater than or equal in this interior number of pages of painting of identification and paints the 60% of this total page number or from user The duration that identification cover starts timing is less than 1 minute, this effective reading progress is painted described in resetting, that is, empties the effective of calculating Read data.
During the concrete application present invention, lookup type variable, variable is with () symbolic indication.User asks:(paint this angle Color) it is in which storySystem searching is associated (painting this title).User asks:(painting this role 1) and (painting this role 2) is (character relation)System searching is associated (character relation).Content type variable is inserted, variable is with () symbolic indication.System carries Go out:I is delithted with goes to play together with (painting this role).User inserts (painting this role) arbitrary in knowledge mapping.System proposes:I Meeting (role-act).User inserts (role-act) arbitrary in knowledge mapping.Above and what is be drawn into paints in this content Entity word combines the example of sentence with the template sentence manually write.Since the present invention is to the reality painted in this content that is drawn into Pronouns, general term for nouns, numerals and measure words carries out manual sort, will paint this Role Classification as the types such as lovely, fearful, rough.It carries out painting this question and answer between man-machine When, system proposes:It is stealthily said with you, I is a little afraid of (fearful paints this role) in fact, and user is inserted in knowledge mapping arbitrarily (can That is afraid of paints this role).System proposes:(lovely paints this role) is good (Sensate focus exercise that system is liked), I also imagine he one Sample, user inserts (lovely paints this role) arbitrary in knowledge mapping, and searches its associated (Sensate focus exercise that system is liked).
The embodiment of the present application additionally provides a kind of system for painting this question and answer, it should be noted that the embodiment of the present application is painted The system of this question and answer can be used for performing the implementation method for being used to paint this question and answer that the embodiment of the present application is provided.Below to this Shen Please embodiment provide the system for painting this question and answer be introduced.
Fig. 7 is a kind of structure diagram for painting this question answering system provided by the invention, which includes processor 705 and memory 710;The system is robot.
It has program stored therein on memory;Program is performed, and processor is configured to identification and paints this cover, and it is total that acquisition paints this Number of pages;Page in this is painted in identification, and calculate identification paints this interior number of pages;Processor, which is further configured to calculate, paints this effective reading Progress is greater than or equal to paint the 60% of this total page number and calculate identification and paint this cover and starts in this interior number of pages of painting of identification When lasting duration is more than 1 minute, this question and answer is painted in unlock;This question and answer of painting that processor is further configured in unlock are first unlocks Paint this question and answer in the case of, triggering paint this question and answer function.
The present invention is extension of the knowledge mapping technology in new scene, realizes and paints this field question and answer.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability Comprising so that process, method, commodity or equipment including a series of elements are not only including those elements, but also wrap Include other elements that are not explicitly listed or further include for this process, method, commodity or equipment it is intrinsic will Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that wanted including described Also there are other identical elements in the process of element, method, commodity or equipment.
The foregoing is merely embodiments herein, are not limited to the application.For those skilled in the art For, the application can have various modifications and variations.All any modifications made within spirit herein and principle are equal Replace, improve etc., it should be included within the scope of claims hereof.

Claims (14)

1. a kind of implementation method for painting this question and answer, which is characterized in that this method includes:
This page is painted in identification;
It calculates and paints this effective reading progress;
When the effective reading progress for painting this reaches unlock and paints this question and answer condition, this question and answer is painted in unlock.
2. the implementation method according to claim 1 for painting this question and answer, which is characterized in that this method further includes:
Extract the entity word painted in this content;
Classify to the entity word;
Knowledge mapping is formed according to sorted entity word.
3. the implementation method according to claim 1 for painting this question and answer, which is characterized in that this method further includes:
When the effective reading progress for painting this, which not up to unlocks, paints this question and answer condition, painted described in resetting this effective reading into Degree.
4. the implementation method according to claim 1 for painting this question and answer, which is characterized in that the identification is painted this page and included:
This cover is painted in identification, this total page number is painted in acquisition;
Page in this is painted in identification, and calculate identification paints this interior number of pages.
5. the implementation method according to claim 4 for painting this question and answer, which is characterized in that the identification is painted this page and included:
It calculates and identifies that painting this cover starts lasting duration.
6. the implementation method according to claim 5 for painting this question and answer, which is characterized in that this question and answer condition packet is painted in the unlock It includes:It is described paint this interior number of pages be greater than or equal to paint the 60% of this total page number, and the lasting duration was more than 1 minute.
7. the implementation method according to claim 1 for painting this question and answer, which is characterized in that the method further includes:
Unlock paint this question and answer be first unlock paint this question and answer in the case of, triggering paint this question and answer function.
8. the implementation method according to claim 2 for painting this question and answer, which is characterized in that the entity word is with variable name Form is named;The form of the variable name is lookup type variable name or inserts content type variable name.
9. the implementation method according to claim 2 for painting this question and answer, which is characterized in that this method further includes:By the reality Pronouns, general term for nouns, numerals and measure words combines sentence with template sentence, and the template sentence is the sentence for supporting arbitrarily to paint this entity word, the combination sentence branch It holds and paints this question and answer.
10. a kind of system for painting this question and answer, which is characterized in that the system includes:Processor and memory;
It has program stored therein on the memory;
It is performed in described program, the processor is configured to identification and paints this cover;It calculates and paints this effective reading progress; When the effective reading progress for painting this reaches unlock and paints this question and answer condition, this question and answer is painted in unlock.
11. the system according to claim 10 for painting this question and answer, which is characterized in that the processor is further configured to identify This cover is painted, this total page number is painted in acquisition;Page in this is painted in identification, and calculate identification paints this interior number of pages.
12. the system according to claim 11 for painting this question and answer, which is characterized in that the processor is further configured to calculate Identification paints this cover and starts lasting duration.
13. the system according to claim 10 for painting this question and answer, which is characterized in that the processor is further configured to solving Lock paint this question and answer be first unlock paint this question and answer in the case of, triggering paint this question and answer function.
14. the system according to claim 10 for painting this question and answer, which is characterized in that the system is robot.
CN201711481777.4A 2017-12-29 2017-12-29 A kind of realization method and system for painting this question and answer Pending CN108133030A (en)

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CN109710748A (en) * 2019-01-17 2019-05-03 北京光年无限科技有限公司 It is a kind of to draw this reading exchange method and system towards intelligent robot
CN109871450A (en) * 2019-01-11 2019-06-11 北京光年无限科技有限公司 Based on the multi-modal exchange method and system for drawing this reading

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CN109359177A (en) * 2018-09-11 2019-02-19 北京光年无限科技有限公司 Multi-modal exchange method and system for robot of telling a story
CN109871450A (en) * 2019-01-11 2019-06-11 北京光年无限科技有限公司 Based on the multi-modal exchange method and system for drawing this reading
CN109871450B (en) * 2019-01-11 2021-10-19 北京光年无限科技有限公司 Multi-mode interaction method and system based on textbook reading
CN109710748A (en) * 2019-01-17 2019-05-03 北京光年无限科技有限公司 It is a kind of to draw this reading exchange method and system towards intelligent robot

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Application publication date: 20180608