CN109918514A - A kind of extraction method, device, the platform of mathematical problem knowledge point and solution approach - Google Patents
A kind of extraction method, device, the platform of mathematical problem knowledge point and solution approach Download PDFInfo
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- CN109918514A CN109918514A CN201910215483.XA CN201910215483A CN109918514A CN 109918514 A CN109918514 A CN 109918514A CN 201910215483 A CN201910215483 A CN 201910215483A CN 109918514 A CN109918514 A CN 109918514A
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Abstract
A kind of extraction method of mathematical problem knowledge point and solution approach, comprising the following steps: S1 carries out natural language understanding processing to mathematical problem text, and processing result is as initial data set;S2 obtains rule set using automated reasoning training initial data set in conjunction with drools inference engine and Symbolic Computation System;S3 extracts the knowledge point for including in per pass mathematical problem and solution approach according to the mapping of rule and each knowledge point, solution approach in rule set.This method can be used for providing accurately topic recommendation for student, also can be convenient the type that teacher understands knowledge point and method that student does not grasp, and more targeted formulate for student teaches plan.
Description
Technical field
The invention belongs to field of Educational Technology, in particular to a kind of mathematical problem knowledge point and solution approach automatically extract
Method, apparatus, platform.
Background technique
As artificial intelligence technology is in the development that deepens continuously of each education sector, precisely education, individualized education become not
Carry out the inexorable trend of education market development.Wherein, for important basic subject --- Mathematics Discipline extracts comprehensively and accurately
Knowledge point and solution approach in mathematical problem are the technological difficulties to be solved.
Current existing mathematics exam pool knowledge point and most of edited by professional teacher of solution approach mark completion, small part
It is also based on topic itself and the topic knowledge point that has marked, method by natural language processing technique carries out automation mark
It completes, but generally needs to expend a large amount of manpower and material resources, even the effect automatically extracted is also bad.
Since there may be multiple, knowledge points and side used in thinking of each solving a problem for the thinking of solving a problem of one of mathematical problem
Method is not quite similar, therefore in order to more accurate and comprehensively extract the corresponding knowledge point of per pass elementary mathematics topic and method,
Necessary not only for the information contained from topic itself, it is also necessary to fully consider that knowledge point used in course of solving questions is conciliate
The information of topic method etc..
Summary of the invention
The embodiment of the invention provides the extraction methods of a kind of mathematical problem knowledge point and solution approach.
One of embodiment of the present invention, a kind of extraction method of mathematical problem knowledge point and solution approach, including it is following
Step:
S1 carries out natural language understanding processing to mathematical problem text, and processing result is as initial data set;
S2 is advised in conjunction with drools inference engine and Symbolic Computation System using automated reasoning training initial data set
Then collect;
S3 is extracted in per pass mathematical problem according to rule in rule set and the mapping of each knowledge point, solution approach and is included
Knowledge point and solution approach.
The step S1 again the following steps are included:
S11, entity mark --- it is indicated for the entity occurred in mathematical problem text with symbol, then is based on handmarking
Mathematical problem sample, using algorithm model to mathematical problem text carry out sequence labelling;
S12, relationship is extracted between entity --- and sentence mould and syntax tree are utilized, is found in mathematical problem between entity and entity
Relationship, according to the logical relation between presetting Rule Extraction entity;
The predicate of S13, mathematical problem text semantic indicate --- according to the relationship between Entity recognition and entity, utilize nerve
Network model obtains the logical predicate expression of mathematical problem text, and as initial data set.
The step S2 specifically includes the following steps:
Predicate table corresponding in mathematical problem text is shown as the known fact and is inserted into true space by S21;
S22 is carried out the known true rule with rule base using drools regulation engine and Symbolic Computation System
Match, while by the new fact of generation again insertable into factbase, circulation executes this step, is until no longer generating the new fact
Only;
S23 is sieved to can correctly describe the solve a problem rule of thinking of per pass mathematical problem using automated reasoning technology
Choosing, obtains final rule set.
The step S3 specifically includes the following steps:
Every rule in rule set is mapped in corresponding knowledge point and solution approach by S31, obtains rule and knowledge
Mapping relations figure between point, solution approach;
S32 extracts knowledge point and the side of solving a problem for per pass mathematical problem in conjunction with mapping relations figure and final rule set
Method, and automatic marking.
The extraction method of knowledge point and solution approach in a kind of mathematical problem proposed by the invention, by combining certainly
Right language understanding, automated reasoning technology, the mapping relations system in combination with rule and between knowledge point, solution approach, abundant
Consideration is solved a problem in the case where thinking, and the automation mark of knowledge point and method is carried out to mathematical problem, especially elementary mathematics topic
Note.More accurate topic not only can be provided for student to recommend, also can be convenient that teacher understands that student do not grasp knows
Know the type of point and method, more targeted formulate for student teaches plan.
Detailed description of the invention
The following detailed description is read with reference to the accompanying drawings, above-mentioned and other mesh of exemplary embodiment of the invention
, feature and advantage will become prone to understand.In the accompanying drawings, if showing by way of example rather than limitation of the invention
Dry embodiment, in which:
The flow diagram of knowledge point and solution approach is automatically extracted during Fig. 1 is according to embodiments of the present invention;
Fig. 2 is that the flow diagram of drools inference engine and automation inference technology formation rule collection is utilized in Fig. 1;
Fig. 3 is the specific flow chart for automatically extracting knowledge point and solution approach in Fig. 1 according to mapping relations system.
Specific embodiment
According to one or more embodiment, as shown in Figure 1, knowledge point and solution approach in a kind of elementary mathematics topic
Extraction method, comprising the following steps:
S100 carries out natural language understanding to elementary mathematics topic text, is finally extracted into predicate expression, obtains initial number
According to collection;
Initial data set is inserted into drools factbase by S200, in conjunction with drools inference engine and Symbolic Computation System,
Using automated reasoning technique drill initial data set, rule set is obtained;
S300 automatically extracts simultaneously mathematical problem text according to the mapping relations between rule and each knowledge point, solution approach
And mark, extract all knowledge points for including in per pass elementary mathematics topic and solution approach.
The mainly high school mathematics that the elementary mathematics being previously mentioned in the present embodiment refers to, but it is not limited to high school mathematics.Senior middle school's number
A little more and method of gaining knowledge is flexible, and the high school mathematics knowledge point and solution approach extracted in the present invention are substantially Ministry of Education's regulation
The content that covers of college entrance examination.In addition, due to that can have a variety of thinkings of solving a problem, and each is solved a problem for the mathematical problem with along with
The knowledge point and method that thinking is included are not quite similar again, so needing to combine every problem when extracting knowledge point and solution approach
Purpose solves a problem thinking rather than just the information analyzed in stem using NLP algorithm.
After known topic information is converted to predicate information using NLP algorithm, need using drools regulation engine and
Automated reasoning technology is trained predicate information, since drools inference engine belongs to production inference engine, that is, receives
The new fact is generated after known fact condition, and the new fact is inserted into true space, recycles reciprocal triggering rule
Rule in library, until no longer generating the new fact.Therefore drools regulation engine extremely has diversity, is easy to generate
New thinking of solving a problem.Therefore by being screened to all thinkings of solving a problem after, can deeper excavation topic itself hide
Knowledge point and method, automation mark more accurately, comprehensively is carried out to elementary mathematics topic.The method of the present invention not only can be with
Mitigate the burden that teacher marks knowledge point and method, while more accurately can carry out topic recommendation for student.
According to one or more embodiment, as shown in Fig. 2, step S200 the following steps are included:
S201, using the corresponding predicate of the elementary mathematics topic text Jing Guo NLP algorithm process indicate elementary data set as
Known fact condition is inserted into factbase;
S202 is carried out the known true rule with rule base using drools regulation engine and Symbolic Computation System
Match, matches strictly all rules in elementary data set and drools inference engine, while by the new fact of generation again insertable into the fact
Library;
S203, circulation executes step S202, until no longer generating the new fact.
S204, using automated reasoning technology, to can correctly describe per pass elementary mathematics topic solve a problem thinking rule into
Row screening, obtains final rule set.
It is inserted into true space using the initial data set obtained after NLP is handled as the known fact, is then utilized
Drools inference engine matches the known fact with the rule in rule base, generates the new fact and inference network, again
It is inserted into true space, loops back and forth like this until no longer generating the new fact.Then by all inference networks into
Row, which arranges, obtains the thinking of solving a problem of per pass elementary mathematics topic, i.e. corresponding rule set.It thus can sufficiently excavate every
The knowledge point and solution approach that road topic is hidden behind.
According to one or more embodiment, as shown in figure 3, step S300 the following steps are included:
S301, by having the mathematics teacher of an abundant line experience with students to refine the mathematical knowledge point summarized and think of of solving a problem
Road, method;
S302 maps every rule in rule set with corresponding knowledge point and solution approach, obtain rule with
Mapping relations system between knowledge point, solution approach;
S303 can extract corresponding in conjunction with mapping relations system and final rule set for per pass elementary mathematics topic
Knowledge point and solution approach, and automatic marking.
Since the rule in drools inference engine can indicate to solve a problem one or more steps in thinking, in order to more
The knowledge point hidden in thinking of solving a problem and solution approach are accurately extracted, needs to correspond it with each rule.Work as rule
It, can be to per pass mathematical problem according to the rule set filtered out then after the completion of the mapping relations system between knowledge point, solution approach
Corresponding knowledge point and solution approach are extracted, and automatic marking is in specified position.
According to one or more embodiment, a kind of automatic extracting device of mathematical problem knowledge point and solution approach, institute
Stating identification device includes memory;And it is coupled to the processor of the memory, which is configured as executing and be stored in
Instruction in the memory, the processor execute following operation:
S1 carries out natural language understanding processing to mathematical problem text, and processing result is as initial data set;
S2 is advised in conjunction with drools inference engine and Symbolic Computation System using automated reasoning training initial data set
Then collect;
S3 is extracted in per pass mathematical problem according to rule in rule set and the mapping of each knowledge point, solution approach and is included
Knowledge point and solution approach.
The device can be a dedicated computer, is also possible to a high performance mobile device, can be used for handling
Mathematical problem knowledge point and solution approach automatically extract.
According to one or more embodiment, a kind of mathematical problem knowledge point and solution approach automatically extract platform, institute
Stating platform includes server, and server has memory;And it is coupled to the processor of the memory, which is configured
To execute the instruction of storage in the memory, the processor executes following operation:
S1 carries out natural language understanding processing to mathematical problem text, processing result is as initial upon receiving a request
Data set;
S2 is advised in conjunction with drools inference engine and Symbolic Computation System using automated reasoning training initial data set
Then collect;
S3 is extracted in per pass mathematical problem according to rule in rule set and the mapping of each knowledge point, solution approach and is included
Knowledge point and solution approach.
The platform can automatically extract service with provide a kind of mathematical problem knowledge point and solution approach on line.
It should be understood that in embodiments of the present invention, term "and/or" is only a kind of incidence relation for describing affiliated partner,
Indicate may exist three kinds of relationships.For example, A and/or B, can indicate: individualism A exists simultaneously A and B, individualism B this
Three kinds of situations.In addition, character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can use different methods to achieve the described function each specific application, but this realization is not
It is considered as beyond the scope of this invention.
It is apparent to those skilled in the art that for convenience of description and succinctly, foregoing description is
The specific work process of system, device and unit, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.In addition, shown or beg for
Opinion mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING of device or unit
Or communication connection, it is also possible to electricity, mechanical or other form connections.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.Some or all of unit therein can be selected to realize the embodiment of the present invention according to the actual needs
Purpose.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, is also possible to two or more units and is integrated in one unit.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
It is worth noting that although foregoing teachings are by reference to several essences that detailed description of the preferred embodimentsthe present invention has been described creates
Mind and principle, it should be appreciated that, the invention is not limited to the specific embodiments disclosed, the division also unawareness to various aspects
Taste these aspect in feature cannot combine, it is this divide merely to statement convenience.The present invention is directed to cover appended power
Included various modifications and equivalent arrangements in the spirit and scope that benefit requires.
Claims (7)
1. a kind of extraction method of mathematical problem knowledge point and solution approach, which comprises the following steps:
S1 carries out natural language understanding processing to mathematical problem text, and processing result is as initial data set;
S2 obtains rule using automated reasoning training initial data set in conjunction with drools inference engine and Symbolic Computation System
Collection;
S3 extracts knowing of including in per pass mathematical problem according to rule in rule set and the mapping of each knowledge point, solution approach
Know point and solution approach.
2. the extraction method of mathematical problem knowledge point and solution approach according to claim 1, which is characterized in that institute
State step S1 again the following steps are included:
S11, entity mark --- it is indicated for the entity occurred in mathematical problem text with symbol, then the number based on handmarking
Topic sample is learned, sequence labelling is carried out to mathematical problem text using algorithm model;
S12, relationship is extracted between entity --- and sentence mould and syntax tree are utilized, the pass in mathematical problem between entity and entity is found
System, according to the logical relation between presetting Rule Extraction entity;
The predicate of S13, mathematical problem text semantic indicate --- according to the relationship between Entity recognition and entity, utilize neural network
Model obtains the logical predicate expression of mathematical problem text, and as initial data set.
3. the extraction method of mathematical problem knowledge point and solution approach according to claim 2, which is characterized in that institute
State step S2 specifically includes the following steps:
Predicate table corresponding in mathematical problem text is shown as the known fact and is inserted into true space by S21;
S22 is matched the known fact with the rule in rule base using drools regulation engine and Symbolic Computation System, together
When by the new true again insertable into factbase of generation, circulation executes this step, until no longer generating the new fact;
S23 is screened to can correctly describe the solve a problem rule of thinking of per pass mathematical problem, is obtained using automated reasoning technology
To final rule set.
4. the extraction method of mathematical problem knowledge point and solution approach according to claim 3, which is characterized in that institute
State step S3 specifically includes the following steps:
Every rule in rule set is mapped in corresponding knowledge point and solution approach by S31, obtain rule with knowledge point,
Mapping relations figure between solution approach;
S32 extracts knowledge point and solution approach for per pass mathematical problem in conjunction with mapping relations figure and final rule set, and
Automatic marking.
5. a kind of automatic extracting device of mathematical problem knowledge point and solution approach, which is characterized in that the identification device includes
Memory;And
It is coupled to the processor of the memory, which is configured as executing the instruction of storage in the memory, institute
It states processor and executes following operation:
S1 carries out natural language understanding processing to mathematical problem text, and processing result is as initial data set;
S2 obtains rule using automated reasoning training initial data set in conjunction with drools inference engine and Symbolic Computation System
Collection;
S3 extracts knowing of including in per pass mathematical problem according to rule in rule set and the mapping of each knowledge point, solution approach
Know point and solution approach.
6. a kind of mathematical problem knowledge point and solution approach automatically extract platform, which is characterized in that the platform includes service
Device, server have memory;And
It is coupled to the processor of the memory, which is configured as executing the instruction of storage in the memory, institute
It states processor and executes following operation:
S1 carries out natural language understanding processing to mathematical problem text, processing result is as primary data upon receiving a request
Collection;
S2 obtains rule using automated reasoning training initial data set in conjunction with drools inference engine and Symbolic Computation System
Collection;
S3 extracts knowing of including in per pass mathematical problem according to rule in rule set and the mapping of each knowledge point, solution approach
Know point and solution approach.
7. a kind of storage medium, is stored thereon with computer program, which is characterized in that when the program is executed by processor, realize
Method as described in any in Claims 1-4.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110414683A (en) * | 2019-07-02 | 2019-11-05 | 科大讯飞股份有限公司 | Mathematical problem answers method and device |
CN110781681A (en) * | 2019-10-12 | 2020-02-11 | 电子科技大学 | Translation model-based elementary mathematic application problem automatic solving method and system |
CN111340661A (en) * | 2020-02-21 | 2020-06-26 | 电子科技大学 | Automatic application problem solving method based on graph neural network |
CN111339312A (en) * | 2020-02-18 | 2020-06-26 | 清华大学 | Knowledge graph for solving high school mathematics evaluation problem and construction and solving method thereof |
CN112182237A (en) * | 2020-09-21 | 2021-01-05 | 深圳中兴网信科技有限公司 | Topic knowledge point association method, topic knowledge point association system and storage medium |
CN112580653A (en) * | 2020-12-24 | 2021-03-30 | 广州久邦世纪科技有限公司 | Automatic problem solving method and device |
CN113297484A (en) * | 2021-05-20 | 2021-08-24 | 广州大学 | Rule filtering method, system, computer device and storage medium for human solution of mathematic proof problems |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170177715A1 (en) * | 2015-12-21 | 2017-06-22 | Adobe Systems Incorporated | Natural Language System Question Classifier, Semantic Representations, and Logical Form Templates |
CN107169043A (en) * | 2017-04-24 | 2017-09-15 | 成都准星云学科技有限公司 | A kind of knowledge point extraction method and system based on model answer |
CN109062904A (en) * | 2018-08-23 | 2018-12-21 | 上海互教教育科技有限公司 | Logical predicate extracting method and device |
-
2019
- 2019-03-21 CN CN201910215483.XA patent/CN109918514A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170177715A1 (en) * | 2015-12-21 | 2017-06-22 | Adobe Systems Incorporated | Natural Language System Question Classifier, Semantic Representations, and Logical Form Templates |
CN107169043A (en) * | 2017-04-24 | 2017-09-15 | 成都准星云学科技有限公司 | A kind of knowledge point extraction method and system based on model answer |
CN109062904A (en) * | 2018-08-23 | 2018-12-21 | 上海互教教育科技有限公司 | Logical predicate extracting method and device |
Non-Patent Citations (1)
Title |
---|
沈自虎: "类人答题系统中代数问题自动求解技术的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110414683A (en) * | 2019-07-02 | 2019-11-05 | 科大讯飞股份有限公司 | Mathematical problem answers method and device |
CN110414683B (en) * | 2019-07-02 | 2023-04-18 | 科大讯飞股份有限公司 | Method and device for solving mathematic questions |
CN110781681A (en) * | 2019-10-12 | 2020-02-11 | 电子科技大学 | Translation model-based elementary mathematic application problem automatic solving method and system |
CN110781681B (en) * | 2019-10-12 | 2023-04-28 | 电子科技大学 | Automatic first-class mathematic application problem solving method and system based on translation model |
CN111339312A (en) * | 2020-02-18 | 2020-06-26 | 清华大学 | Knowledge graph for solving high school mathematics evaluation problem and construction and solving method thereof |
CN111340661A (en) * | 2020-02-21 | 2020-06-26 | 电子科技大学 | Automatic application problem solving method based on graph neural network |
CN112182237A (en) * | 2020-09-21 | 2021-01-05 | 深圳中兴网信科技有限公司 | Topic knowledge point association method, topic knowledge point association system and storage medium |
CN112580653A (en) * | 2020-12-24 | 2021-03-30 | 广州久邦世纪科技有限公司 | Automatic problem solving method and device |
CN113297484A (en) * | 2021-05-20 | 2021-08-24 | 广州大学 | Rule filtering method, system, computer device and storage medium for human solution of mathematic proof problems |
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