CN106202476A - A kind of interactive method and device of knowledge based collection of illustrative plates - Google Patents
A kind of interactive method and device of knowledge based collection of illustrative plates Download PDFInfo
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- CN106202476A CN106202476A CN201610565229.9A CN201610565229A CN106202476A CN 106202476 A CN106202476 A CN 106202476A CN 201610565229 A CN201610565229 A CN 201610565229A CN 106202476 A CN106202476 A CN 106202476A
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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Abstract
The invention discloses the interactive method and device of a kind of knowledge based collection of illustrative plates, the method comprises the following steps: S1: receives the statement that user sends, and obtains the statement classification above of this statement；S2: determine the final generic of this statement；S3: extract the Feature Words in this statement by knowledge mapping, and judge that all Feature Words are the most relevant；S4: this statement engaged in the dialogue coupling according to chat conversations storehouse；S5: this statement is carried out regular pattern coupling；S6: be analyzed processing and generating reply according to the classification of statement.The classification of present invention control statement to a certain extent, and the Opening field question and answer making the knowledge question of general knowledge and customization are same in a flow process, it is different from existing automatically request-answering system and relies only on chat storehouse and the search carrying out problem answers of disaggregated model, and in invention, add template matching and the technology of knowledge mapping search, it is possible to make human computer conversation the abundantest.
Description
Technical field
The data that the invention belongs to nan-machine interrogation process, and particularly relate to a kind of interactive method of knowledge based collection of illustrative plates
And device.
Background technology
Intelligent Answer System with question-response form, the enquirement knowledge required for accurate locating websites user, by with
Website user interacts, and provides personalized information service for website user.
Intelligent Answer System is the unordered language material information that will build up on, and carries out in order and the arrangement of science, and sets up based on knowing
The disaggregated model known；These disaggregated models can instruct the language material consulting and information on services newly increased, and saves human resources, improves
The automaticity of information processing, reduces website operating cost.Based on website is accumulated for many years about government and the basic feelings of enterprise
Condition FAQs and answer thereof, arrange the question and answer storehouse form into specification, to support the intelligent answer of various forms problem.Facilitate
User, improves work efficiency, improves corporate image.
Statement would generally be processed by Intelligent Answer System by means of natural language processing and full-text search technology now,
Single mode generally some of accuracy rate can ratio relatively low.Conventional Intelligent Answer System only can be directed to some field
Question and answer, for the question answering system of open field, currently there are no a kind of general, and the reasonable handling process of autgmentability
Occur.
The aspects such as question answering system mainly includes that sentence is classified, information retrieval, answer extracting, semantic understanding, knowledge mapping
Technology.
Summary of the invention
In order to overcome the deficiencies in the prior art, an object of the present invention is to provide the man-machine of a kind of knowledge based collection of illustrative plates
The method of dialogue, the problem of general knowledge and Opening field can be answered by it.
The two of the purpose of the present invention are to provide the interactive device of a kind of knowledge based collection of illustrative plates, its can to general knowledge and
The problem of Opening field is answered.
An object of the present invention realizes by the following technical solutions:
A kind of interactive method of knowledge based collection of illustrative plates, comprises the following steps:
S1: receive the statement that user sends, and obtain the statement above of this statement, and determine this statement and statement above
Classification；
S2: determine the final generic of this statement according to the classification of the classification of this statement and statement above；
S3: extract the Feature Words in this statement by knowledge mapping, and judge that all Feature Words are the most relevant, if
Have, then generate according to the association of Feature Words and reply, if it is not, perform step S4；
S4: this statement being engaged in the dialogue coupling according to chat conversations storehouse, if the match is successful, then generating reply, if lost
Lose, then perform step S5；
S5: this statement is carried out regular pattern coupling, if the match is successful, then generates corresponding reply, if coupling is lost
Lose, then perform step S6；
S6: be analyzed processing and generating reply according to the final generic of this statement.
Preferably, step S2 specifically includes following sub-step:
S21: determine classification grade and the language above of described statement according to the classification of the classification of this statement and statement above
The classification grade of sentence；
S22: judge whether the classification grade of described statement is more than the classification grade of statement above, if it is, select institute
The classification of predicate sentence is as the final generic of this statement, if it is not, then select the classification of statement above as this statement
Final generic.The implementation of step S2 can be disclosed further.
Preferably, step S4 specifically includes following sub-step:
S41: this statement is carried out full-text search according to chat conversations storehouse；
S42: by the phase of candidate's statement in Jaccard Similarity algorithm calculating chat conversations storehouse with read statement
Like degree；
S43: judge that gained similarity, whether more than a threshold value, if greater than this threshold value, then selects respective statement to carry out back
Multiple, if less than this threshold value, then perform step S5.It can disclose the specific implementation of step S4 further.
Preferably, described threshold value is 0.7.It can disclose the setting of threshold value further.
Preferably, step S6 specifically includes following sub-step:
S61: extract the attribute character relevant to the final generic of this statement according to the final generic of this statement；
S62: according to the extraction program of gained attribute character, extract the attribute corresponding with attribute character；
S63: generate according to gained attribute and reply.It can disclose the implementation of step S6 further.
The two of the purpose of the present invention realize by the following technical solutions:
A kind of interactive device of knowledge based collection of illustrative plates, including with lower module:
Receiver module: for receiving the statement that user sends, and obtain the statement above of this statement, and determine this statement and
The classification of statement above；
Sort module: for determining the final the most affiliated class of this statement according to the classification of the classification of this statement and statement above
Not；
Knowledge mapping module: for extracting the Feature Words in this statement by knowledge mapping, and judge that all Feature Words are
No relevant, reply if it has, then generate according to the association of Feature Words, if it is not, perform chat matching module；
Chat matching module: for this statement being engaged in the dialogue coupling according to chat conversations storehouse, if the match is successful, then give birth to
Become to reply, if it fails, then perform canonical matching module；
Canonical matching module: for this statement is carried out regular pattern coupling, if the match is successful, then generate corresponding returning
Multiple, if it fails to match, then perform analysis and processing module；
Analysis and processing module: for being analyzed processing and generating reply according to the final generic of this statement.
Preferably, sort module specifically includes following submodule:
Level determination module: determine the classification grade of described statement according to the classification of the classification of this statement and statement above
The classification grade of statement above；
First judge module: judge whether the classification grade of described statement is more than the classification grade of statement above, if it is,
Then select the classification final generic as this statement of described statement, if it is not, then select the classification conduct of statement above
The final generic of this statement.The concrete submodule that sort module is comprised can be further determined that.
Preferably, chat matching module specifically includes following submodule:
Full-text search module: for this statement being carried out full-text search according to chat conversations storehouse；
Computing module: for calculating candidate's statement and input in chat conversations storehouse by Jaccard Similarity algorithm
The similarity of statement；
Second judge module: be used for judging that gained similarity, whether more than a threshold value, if greater than this threshold value, then selects phase
Answer statement to reply, if less than this threshold value, then perform canonical matching module.It can disclose chat matching module institute further
The concrete module comprised.
Preferably, described threshold value is 0.7.It can disclose the numerical value of threshold value further.
Preferably, analysis and processing module specifically includes following submodule:
Attribute extraction module: extract the final generic phase with this statement for the final generic according to this statement
The attribute character closed；
Attribute matching module: for the extraction program according to gained attribute character, extract the attribute corresponding with attribute character；
Reply module: reply for generating according to gained attribute.It can disclose what analysis and processing module was comprised further
Submodule.
Compared to existing technology, the beneficial effects of the present invention is:
The classification of present invention control statement to a certain extent, and make the knowledge question of general knowledge and the Opening field of customization
Question and answer are same in a flow process, are different from existing automatically request-answering system and rely only on chat storehouse and the carrying out of disaggregated model is asked
The search of topic answer, and in invention, add template matching and the technology of knowledge mapping search, it is possible to make human computer conversation
The abundantest.
Accompanying drawing explanation
Fig. 1 is the flow chart of the interactive method of the present invention a kind of knowledge based collection of illustrative plates；
Fig. 2 is the structured flowchart of the interactive device of the present invention a kind of knowledge based collection of illustrative plates；
Fig. 3 is the classification chart of the statement classification of the present invention.
Detailed description of the invention
Below, in conjunction with accompanying drawing and detailed description of the invention, the present invention is described further:
As it is shown in figure 1, the invention provides a kind of interactive method of knowledge based collection of illustrative plates, comprise the following steps:
S1: receive the statement that user sends, and obtain the statement above of this statement, and determine this statement and statement above
Classification；
S2: determine the final generic of this statement according to the classification of the classification of this statement and statement above；Step S2
Specifically include following sub-step:
S21: determine classification grade and the language above of described statement according to the classification of the classification of this statement and statement above
The classification grade of sentence；
S22: judge whether the classification grade of described statement is more than the classification grade of statement above, if it is, select institute
The classification of predicate sentence is as the final generic of this statement, if it is not, then select the classification of statement above as this statement
Final generic.It is to proceed to process with which kind of classification to this statement in subsequent step to determine in this step,
The determination of classification results needs by the current class in context is come comparison, the most just determines that classification of selection, comparison
Mode mainly use and the grade of classification compares, preferential with high-grade classification, as it is shown on figure 3,1 grade is the lowest class, 46
Level is highest level, rises successively from 1 grade to a 46 grade grade, and such as, the when that user saying " I to navigate ", this sentence is undoubtedly
" navigate " and classify, but, navigation needs a destination, so, rear end can generate " which the destination that may I ask you is "
To inquire the destination of user, it is that such as user says " Guangzhou " when client responds, when " Guangzhou " this phrase enters classification, it
" what " this classification may be classified as, and if the phrase replied once client is classified to other classifications, navigation
This purpose just cannot complete, so needing category preferences to revise.Due to " navigation ", this is sorted in the session of user
In be not closed, so when " what " " Guangzhou " be classified into, need to carry out grade with " navigation " and compare, due to " navigation "
The height of grade ratio " what ", so " Guangzhou " this phrase needs to obey " navigation " this classification, so, many wheel dialogues are just able to
Complete.
But also exception, such as, for weather typing in going up in short, then lower is in short not divide
Class, then this sentence is as the process of weather typing；
S3: extract the Feature Words in this statement by knowledge mapping, and judge that all Feature Words are the most relevant, if
Have, then generate according to the association of Feature Words and reply, if it is not, perform step S4；By the Feature Words that will be drawn into as
The starting point of the search of knowledge mapping, carries out the association search of knowledge, if all Feature Words is the most relevant, then generates answer.
Such as, including node Guangzhou, then have attribute city flower in knowledge mapping, property value is Flos Bombacis Malabarici, then formed
Tlv triple (Guangzhou, city flower, Flos Bombacis Malabarici).When sentence, " what the city flower in Guangzhou is？" or " Flos Bombacis Malabarici is city flower where？”
The when of entering collection of illustrative plates search, owing to knowledge mapping comprising Guangzhou, city flower and Flos Bombacis Malabarici, then by the extraction to word, so
After find correspondence tlv triple, generate reply " city flower in Guangzhou is Flos Bombacis Malabarici.”.
S4: this statement being engaged in the dialogue coupling according to chat conversations storehouse, if the match is successful, then generating reply, if lost
Lose, then perform step S5；Step S4 specifically includes following sub-step:
S41: this statement is carried out full-text search according to chat conversations storehouse；
S42: by the phase of candidate's statement in Jaccard Similarity algorithm calculating chat conversations storehouse with read statement
Like degree；
S43: judge that gained similarity, whether more than a threshold value, if greater than this threshold value, then selects respective statement to carry out back
Multiple, if less than this threshold value, then perform step S5.Described threshold value is 0.7.The statement of this step mainly coupling chat, such as
When dialogue occurs the statement of daily greeting chat of " hello " etc when, then can complete daily chatting by this step
It function.
S5: this statement is carried out regular pattern coupling, if the match is successful, then generates corresponding reply, if coupling is lost
Lose, then perform step S6；This step is mainly used in the process of the special clause of systemic-function, sensitive word and part, such as, when with
The when that the sentence of " who are you " etc being asked at family, this question sentence is equivalent to the function of the about in app, coupling and systemic-function
Relevant information, generates and replys.
S6: be analyzed processing and generating reply according to the final generic of this statement；Step S6 specifically includes following
Sub-step:
S61: extract the attribute character relevant to the final generic of this statement according to the final generic of this statement；
S62: according to the extraction program of gained attribute character, extract the attribute corresponding with attribute character；
S63: generate according to gained attribute and reply.Mainly process the dialogue that abovementioned steps does not processes, example
As: " Guangzhou is cold for today for user's input？", the classification of this sentence is weather, and the attribute paid close attention to for weather mainly has four
Individual time, place, detailed classification and degree, can extract three genus by the defined attribute extraction program done for weather statement
Property, the time is today, and place is Guangzhou, and degree is cold, then goes inquiry to obtain weather data according to time and city, further according to
Temperature record in weather data judges that today is the coldest, thus completes the answer to this statement.In this step, it will usually
The module calling other is needed to generate corresponding answer to inquire about relevant information.
As in figure 2 it is shown, the invention provides the interactive device of a kind of knowledge based collection of illustrative plates, including with lower module:
Receiver module: for receiving the statement that user sends, and obtain the statement above of this statement, and determine this statement and
The classification of statement above；
Sort module: for determining the final the most affiliated class of this statement according to the classification of the classification of this statement and statement above
Not；Sort module specifically includes following submodule:
Level determination module: determine the classification grade of described statement according to the classification of the classification of this statement and statement above
The classification grade of statement above；
First judge module: judge whether the classification grade of described statement is more than the classification grade of statement above, if it is,
Then select the classification final generic as this statement of described statement, if it is not, then select the classification conduct of statement above
The final generic of this statement.
Knowledge mapping module: for extracting the Feature Words in this statement by knowledge mapping, and judge that all Feature Words are
No relevant, reply if it has, then generate according to the association of Feature Words, if it is not, perform chat matching module；
Chat matching module: for this statement being engaged in the dialogue coupling according to chat conversations storehouse, if the match is successful, then give birth to
Become to reply, if it fails, then perform canonical matching module；Chat matching module specifically includes following submodule:
Full-text search module: for this statement being carried out full-text search according to chat conversations storehouse；
Computing module: for calculating candidate's statement and input in chat conversations storehouse by Jaccard Similarity algorithm
The similarity of statement；
Second judge module: be used for judging that gained similarity, whether more than a threshold value, if greater than this threshold value, then selects phase
Answer statement to reply, if less than this threshold value, then perform canonical matching module.Described threshold value is 0.7.
Canonical matching module: for this statement is carried out regular pattern coupling, if the match is successful, then generate corresponding returning
Multiple, if it fails to match, then perform analysis and processing module；
Analysis and processing module: for being analyzed processing and generating reply according to the final generic of this statement.Analyze
Processing module specifically includes following submodule:
Attribute extraction module: extract the attribute relevant to this statement classification for the final generic according to this statement special
Levy；
Attribute matching module: according to the extraction program of gained attribute character, extract the attribute corresponding with attribute character；
Reply module: generate according to gained attribute and reply.
It will be apparent to those skilled in the art that can technical scheme as described above and design, make other various
Corresponding change and deformation, and all these change and deformation all should belong to the protection domain of the claims in the present invention
Within.
Claims (10)
1. the interactive method of a knowledge based collection of illustrative plates, it is characterised in that comprise the following steps:
S1: receive the statement that user sends, obtain the statement above of this statement, and determine the classification of this statement and statement above；
S2: determine the final generic of this statement according to the classification of the classification of this statement and statement above；
S3: extract the Feature Words in this statement by knowledge mapping, and judge that all Feature Words are the most relevant, if it has, then
Association according to Feature Words generates replys, if it is not, perform step S4；
S4: this statement engaged in the dialogue coupling according to chat conversations storehouse, if the match is successful, then generate reply, if it fails, then
Perform step S5；
S5: this statement is carried out regular pattern coupling, if the match is successful, then generates corresponding reply, if it fails to match, then
Perform step S6；
S6: be analyzed processing and generating reply according to the final generic of this statement.
2. the interactive method of knowledge based collection of illustrative plates as claimed in claim 1, it is characterised in that step S2 specifically includes
Following sub-step:
S21: determine classification grade and the statement above of described statement according to the classification of the classification of this statement and statement above
Classification grade；
S22: judge whether the classification grade of described statement is more than the classification grade of statement above, if it is, select institute's predicate
The classification of sentence is as the final generic of this statement, if it is not, then select final as this statement of the classification of statement above
Generic.
3. the interactive method of knowledge based collection of illustrative plates as claimed in claim 1, it is characterised in that step S4 specifically includes
Following sub-step:
S41: this statement is carried out full-text search according to chat conversations storehouse；
S42: calculate candidate's statement and the similarity of read statement in chat conversations storehouse by Jaccard Similarity algorithm；
S43: judge that gained similarity, whether more than a threshold value, if greater than this threshold value, then selects respective statement to reply, as
Fruit less than this threshold value, then performs step S5.
4. the interactive method of knowledge based collection of illustrative plates as claimed in claim 3, it is characterised in that described threshold value is 0.7.
5. the interactive method of knowledge based collection of illustrative plates as claimed in claim 1, it is characterised in that step S6 specifically includes
Following sub-step:
S61: extract the attribute character relevant to the final generic of this statement according to the final generic of this statement；
S62: according to the extraction program of gained attribute character, extract the attribute corresponding with attribute character；
S63: generate according to gained attribute and reply.
6. the interactive device of a knowledge based collection of illustrative plates, it is characterised in that include with lower module:
Receiver module: for receiving the statement that user sends, and obtain the statement above of this statement, and determine this statement and above
The classification of statement；
Sort module: for determining the final generic of this statement according to the classification of the classification of this statement and statement above；
Knowledge mapping module: for extracting the Feature Words in this statement by knowledge mapping, and judge whether all Feature Words have
Association, replys if it has, then generate according to the association of Feature Words, if it is not, perform chat matching module；
Chat matching module: for this statement being engaged in the dialogue coupling according to chat conversations storehouse, if the match is successful, then generate back
Multiple, if it fails, then perform canonical matching module；
Canonical matching module: for this statement is carried out regular pattern coupling, if the match is successful, then generate corresponding reply,
If it fails to match, then perform analysis and processing module；
Analysis and processing module: for being analyzed processing and generating reply according to the final generic of this statement.
7. the interactive device of knowledge based collection of illustrative plates as claimed in claim 6, it is characterised in that sort module is specifically wrapped
Include following submodule:
Level determination module: determine the classification grade of described statement and upper according to the classification of the classification of this statement and statement above
The classification grade of literary composition statement；
First judge module: judge whether the classification grade of described statement is more than the classification grade of statement above, if it is, choosing
By the classification of described statement as the final generic of this statement, if it is not, then select the classification of statement above as this language
The final generic of sentence.
8. the interactive device of knowledge based collection of illustrative plates as claimed in claim 6, it is characterised in that chat matching module tool
Body includes following submodule:
Full-text search module: for this statement being carried out full-text search according to chat conversations storehouse；
Computing module: for calculating candidate's statement and read statement in chat conversations storehouse by Jaccard Similarity algorithm
Similarity；
Second judge module: be used for judging that gained similarity, whether more than a threshold value, if greater than this threshold value, then selects corresponding language
Sentence is replied, and if less than this threshold value, then performs canonical matching module.
9. the interactive device of knowledge based collection of illustrative plates as claimed in claim 8, it is characterised in that described threshold value is 0.7.
10. the interactive device of knowledge based collection of illustrative plates as claimed in claim 6, it is characterised in that analysis and processing module
Specifically include following submodule:
Attribute extraction module: extract relevant to the final generic of this statement for the final generic according to this statement
Attribute character；
Attribute matching module: for the extraction program according to gained attribute character, extract the attribute corresponding with attribute character；
Reply module: reply for generating according to gained attribute.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014078612A2 (en) * | 2012-11-16 | 2014-05-22 | International Business Machines Corporation | Multi-dimensional feature merging for open domain question answering |
| CN103853842A (en) * | 2014-03-20 | 2014-06-11 | 百度在线网络技术（北京）有限公司 | Automatic question and answer method and system |
| CN104471568A (en) * | 2012-07-02 | 2015-03-25 | 微软公司 | Learning-based processing of natural language questions |
| CN105183848A (en) * | 2015-09-07 | 2015-12-23 | 百度在线网络技术（北京）有限公司 | Human-computer chatting method and device based on artificial intelligence |
| CN105677783A (en) * | 2015-12-31 | 2016-06-15 | 上海智臻智能网络科技股份有限公司 | Information processing method and device for intelligent question-answering system |
| CN105677795A (en) * | 2015-12-31 | 2016-06-15 | 上海智臻智能网络科技股份有限公司 | Abstract semantics recommendation method, recommendation device and recommendation system |
-
2016
- 2016-07-14 CN CN201610565229.9A patent/CN106202476B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104471568A (en) * | 2012-07-02 | 2015-03-25 | 微软公司 | Learning-based processing of natural language questions |
| WO2014078612A2 (en) * | 2012-11-16 | 2014-05-22 | International Business Machines Corporation | Multi-dimensional feature merging for open domain question answering |
| CN103853842A (en) * | 2014-03-20 | 2014-06-11 | 百度在线网络技术（北京）有限公司 | Automatic question and answer method and system |
| CN105183848A (en) * | 2015-09-07 | 2015-12-23 | 百度在线网络技术（北京）有限公司 | Human-computer chatting method and device based on artificial intelligence |
| CN105677783A (en) * | 2015-12-31 | 2016-06-15 | 上海智臻智能网络科技股份有限公司 | Information processing method and device for intelligent question-answering system |
| CN105677795A (en) * | 2015-12-31 | 2016-06-15 | 上海智臻智能网络科技股份有限公司 | Abstract semantics recommendation method, recommendation device and recommendation system |
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