CN106471502A - Intension recognizing method based on water conservancy diversion and system - Google Patents
Intension recognizing method based on water conservancy diversion and system Download PDFInfo
- Publication number
- CN106471502A CN106471502A CN201680001738.7A CN201680001738A CN106471502A CN 106471502 A CN106471502 A CN 106471502A CN 201680001738 A CN201680001738 A CN 201680001738A CN 106471502 A CN106471502 A CN 106471502A
- Authority
- CN
- China
- Prior art keywords
- entrance
- fuzzy
- identified
- intention
- accurate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of intension recognizing method based on water conservancy diversion, including：Obtain customer problem to be identified；Customer problem to be identified is carried out be intended to coupling, search whether accurate intention, wherein, if customer problem to be identified has accurate intention coupling, then return and be accurately intended to matching result, conversely, then customer problem to be identified is carried out with fuzzy entrance coupling, determine fuzzy entrance, and corresponding answer is returned according to described fuzzy entrance.The present invention can reduce the false triggering of intention assessment and rejection not, lifts Consumer's Experience.
Description
Technical field
The present invention relates to Computer Applied Technology field, more particularly, to a kind of intension recognizing method based on water conservancy diversion and be
System.
Background technology
Automatic question answering (QA, Automatic Question Answering) technology is accompanied by the semanteme of natural language
Reason technology and grow up.People can be putd question to automatically request-answering system with common question sentence, and automatically request-answering system will be from knowing
Know in storehouse or the Internet and search for corresponding answer, then answer is in brief directly returned to user, rather than picture
What search engine returned to user like that is the related webpage of a pile.So user just can by automatically request-answering system easily
Obtain the information oneself wanted.The skills such as the representation of knowledge, information retrieval, natural language processing have been used in automatic question answering technological synthesiss
Art.Automatically request-answering system can make user input problem with natural language, rather than crucial contamination.And return to user's
It is succinct, accurate answer, rather than some related webpages.So, the retrieval that question answering system can better meet user needs
Ask, can quickly find out the answer needed for user.For question answering system, user does not need the PROBLEM DECOMPOSITION of oneself to become crucial
Word, user can directly give question answering system whole problem.Question answering system unified with nature language processing techniques, by problem
Understand, the answer that user wants can be submitted directly to.Question answering system, can be quick and precisely just as an encyclopedic expert
Any problem is answered on ground.Such as, " what the abbreviation in Shanghai is to one problem of user's submission？", question answering system will directly give
Answer " abbreviation in Shanghai is Shanghai ".Automatically request-answering system is, by the problem of receive user natural language form input, to provide phase
Answer answer, can solve the problems, such as that search engine can't resolve (semantic analysis, interaction rhetorical question), draw compared to traditional search
Hold up, more rapid, direct, accurate.
Intention assessment is the research direction that one of artificial intelligence and natural language processing field receive much attention, main use
Behavior in identifying user is intended to.For example, in question answer dialog, every words of quizmaster all carry certain intention, and answer party is then
Answered according to the intention of other side.
Existing automatically request-answering system is based on accurate intention assessment, and provides clear and definite answer, and it passes through following two sides
Formula is realizing.In first kind of way, after user's proposition problem, automatically request-answering system finds most like problem in knowledge base,
It is then back to corresponding answer.In the second way, after user's proposition problem, automatically request-answering system parses key to the issue first
Word, regenerates query statement, inquires about data base afterwards, finally returns to the answer of query generation.As can be seen here, existing automatic
It is necessary to the intention of accurate identifying user problem just can provide answer in question answering system, and ask for being intended to relatively fuzzyyer user
Topic, then cannot provide answer.
Content of the invention
It is an object of the invention to provide a kind of intension recognizing method based on water conservancy diversion and system are to reduce intention assessment
False triggering and rejection not, lift Consumer's Experience.
The present invention, in order to solve above-mentioned technical problem, employed technical scheme comprise that：A kind of intention assessment side based on water conservancy diversion
Method is it is characterised in that include：
Obtain customer problem to be identified；
Described customer problem to be identified is carried out be intended to coupling, has searched whether accurate intention,
Wherein, if described customer problem to be identified has accurate intention coupling, return and be accurately intended to matching result, instead
It, then carry out fuzzy entrance coupling, determine fuzzy entrance, and returned according to described fuzzy entrance to described customer problem to be identified
Return corresponding answer.
Preferably, the described step obtaining customer problem to be identified includes：
The collection Word message of user input or multi-modal input information simultaneously extract customer parameter；
If input is multi-modal input information, described multi-modal input information and described customer parameter are converted to literary composition
This format information；
Pretreatment is carried out to described Word message or described text formatting information and obtains described customer problem to be identified.
Preferably, described customer problem to be identified is carried out be intended to coupling, search whether the described step of accurate intention
Rapid inclusion：
Parse the key word of described customer problem to be identified；
Query statement is generated according to described key word；
It is intended in matching database be inquired about accurate using described query statement；
If there is the answer with described Keywords matching in described accurate intention matching database, treat described in judgement
The customer problem identifying has accurate intention coupling, and returns accurate intention matching result.
Preferably, described customer problem to be identified is carried out with fuzzy entrance coupling, determine fuzzy entrance, and according to described
The described step that fuzzy entrance returns corresponding answer includes：
Fuzzy entrance coupling is carried out according to described key word, determines fuzzy entrance corresponding with described key word；
Judge below described fuzzy entrance, to whether there is accurate intention, if it has, then passing through rhetorical question to determine accurately intention, and
Return corresponding answer.
Preferably, if there is not accurate intention below described fuzzy entrance, figure being led by default recommendation flow, returns
Return default answer.
The present invention also provides a kind of intention assessment system based on water conservancy diversion it is characterised in that including：
Acquisition module, for obtaining customer problem to be identified；
Intention assessment module, for carrying out to described customer problem to be identified being intended to coupling, has searched whether accurate meaning
Figure,
Wherein, if described customer problem to be identified has accurate intention coupling, return and be accurately intended to matching result, instead
It, then carry out fuzzy entrance coupling, determine fuzzy entrance, and returned according to described fuzzy entrance to described customer problem to be identified
Return corresponding answer.
Preferably, described acquisition module includes：
Collecting unit, for gathering the Word message of user input or multi-modal input information and extracting customer parameter；
Converting unit, for being converted to text formatting information by described multi-modal input information and described customer parameter；
Pretreatment unit, for described Word message or described text formatting information are carried out pretreatment obtain described in wait to know
Other customer problem.
Preferably, described intention assessment module includes：
Resolution unit, for parsing the key word of described customer problem to be identified；
Query statement signal generating unit, for generating query statement according to described key word；
Query unit, for being intended in matching database be inquired about accurate using described query statement；
Result output unit, in the described accurate answer being intended to have with described Keywords matching in matching database
Make, the described customer problem to be identified of judgement has accurate intention coupling, and return accurate intention matching result.
Preferably, described intention assessment module also includes：
Fuzzy entrance determining unit, for carrying out fuzzy entrance coupling according to described key word, determines and described key word
Corresponding fuzzy entrance；
Judging unit, for judging to whether there is accurate intention below described fuzzy entrance, if it has, then described result is defeated
Go out unit and pass through rhetorical question determination accurately intention, and return corresponding answer.
Preferably, if there is not accurate intention below described fuzzy entrance, described result output unit passes through default
Recommendation flow lead figure, return default answer.
Implement the embodiment of the present invention, have the advantages that：The intension recognizing method based on water conservancy diversion that the present invention provides
And system, first customer problem is accurately intended to mate, is searched whether there is corresponding accurate intention；If not yet
Have, then carry out fuzzy entrance coupling, determine corresponding fuzzy entrance；Below corresponding fuzzy entrance, smart for existing
The customer problem being really intended to, is determined by means such as rhetorical questions and is accurately intended to, for cannot the problem that is intended to of registration, then pass through
Default recommendation flow leads figure, is that user recommends default answer.Thus, it is possible to effectively reducing the false triggering of intention assessment and refusing
Identification, lifts Consumer's Experience.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, acceptable
Other accompanying drawings are obtained according to these accompanying drawings.
The flow chart of the intension recognizing method based on water conservancy diversion that Fig. 1 provides for one embodiment of the invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
The flow chart of the intension recognizing method based on water conservancy diversion that Fig. 1 provides for one embodiment of the invention.As shown in figure 1, base
Intension recognizing method in water conservancy diversion comprises the following steps：
Step S1：Obtain customer problem to be identified.
Specifically, in an embodiment of the present invention it is necessary first to gather the Word message of user input or multi-modal input
Information simultaneously extracts customer parameter；Secondly, if input is multi-modal input information, by described multi-modal input information and described
Customer parameter is converted to text formatting information；Finally, carry out pretreatment to described Word message or described text formatting information to obtain
To described customer problem to be identified.Wherein, multi-modal input information includes but is not limited to, video, face, expression, scene, sound
The information such as stricture of vagina, fingerprint, iris pupil, light sensation.
Step S2：Described customer problem to be identified is carried out be intended to coupling, searched whether accurate intention.
Specifically, in an embodiment of the present invention, if described customer problem to be identified has accurate intention coupling, return
Return and be accurately intended to matching result, conversely, then described customer problem to be identified is carried out with fuzzy entrance coupling, determine obscure into
Mouthful, and corresponding answer is returned according to described fuzzy entrance.
Further, when customer problem to be identified is carried out be intended to coupling, first have to parse described use to be identified
The key word of family problem；Afterwards, query statement is generated according to described key word, and be intended to accurate using described query statement
Inquired about in matching database, if accurate being intended in matching database to exist and the answering of described Keywords matching described
Case, then judge that described customer problem to be identified has accurate intention coupling, and return accurate intention matching result.
Further, if in the described accurate answer being intended to not have with described Keywords matching in matching database,
Then fuzzy entrance coupling is carried out according to described key word, determine fuzzy entrance corresponding with described key word；Judge described fuzzy
Whether there is accurate intention below entrance, if it has, then passing through rhetorical question to determine accurately intention, and returning corresponding answer, if
There is not accurate intention below described fuzzy entrance, then figure is led by default recommendation flow, return default answer.
For example, if user input is " I wants to listen the Radix Buddlejae Butterflybush of Zhou Jielun ", accurate intention can be hit and " commence play out
Music ", system can directly play Radix Buddlejae Butterflybush.If user input is " I wants to travel ", cannot mate first up till now
All accurate intention, then in fuzzy intention search, match tourism associated inlet.Next, by asking in reply user,
" you need to look for hotel still to determine air ticket ", if user replys " determining air ticket ", returns the accurate intention of predetermined tourism air ticket, such as
Fruit user does not reply or the content replied is not enough to determine accurate intention, then the general answer returning a fuzzy intention is led
Stream.One embodiment of the invention also provides a kind of intention assessment system based on water conservancy diversion, including：
Acquisition module, for obtaining customer problem to be identified；
Intention assessment module, for carrying out to described customer problem to be identified being intended to coupling, has searched whether accurate meaning
Figure,
Wherein, if described customer problem to be identified has accurate intention coupling, return and be accurately intended to matching result, instead
It, then carry out fuzzy entrance coupling, determine fuzzy entrance, and returned according to described fuzzy entrance to described customer problem to be identified
Return corresponding answer.
Further, described acquisition module includes：
Collecting unit, for gathering the Word message of user input or multi-modal input information and extracting customer parameter；
Converting unit, for being converted to text formatting information by described multi-modal input information and described customer parameter；
Pretreatment unit, for described Word message or described text formatting information are carried out pretreatment obtain described in wait to know
Other customer problem.
Further, described intention assessment module includes：
Resolution unit, for parsing the key word of described customer problem to be identified；
Query statement signal generating unit, for generating query statement according to described key word；
Query unit, for being intended in matching database be inquired about accurate using described query statement；
Result output unit, in the described accurate answer being intended to have with described Keywords matching in matching database
Make, the described customer problem to be identified of judgement has accurate intention coupling, and return accurate intention matching result；
Fuzzy entrance determining unit, for carrying out fuzzy entrance coupling according to described key word, determines and described key word
Corresponding fuzzy entrance；
Judging unit, for judging to whether there is accurate intention below described fuzzy entrance, if it has, then described result is defeated
Go out unit and pass through rhetorical question determination accurately intention, and return corresponding answer；If there is not accurate meaning below described fuzzy entrance
Scheme, then described result output unit leads figure by default recommendation flow, returns default answer.
Advantageously, the present invention provides the intension recognizing method based on water conservancy diversion and system, carry out essence to customer problem first
Really it is intended to coupling, search whether there is corresponding accurate intention；If it is not, carrying out fuzzy entrance coupling, determine with
Corresponding fuzzy entrance；Below corresponding fuzzy entrance, for the customer problem that there is accurate intention, by handss such as rhetorical questions
Section determines and is accurately intended to, for cannot the problem that is intended to of registration, then pass through default recommendation flow and lead figure, be user's recommendation
Default answer.Thus, it is possible to effectively the false triggering of minimizing intention assessment and rejection not, lift Consumer's Experience.
Above disclosed be only a kind of preferred embodiment of the present invention, certainly the power of the present invention can not be limited with this
Sharp scope, one of ordinary skill in the art will appreciate that realize all or part of flow process of above-described embodiment, and according to present invention power
Profit requires made equivalent variations, still falls within the scope that invention is covered.
Claims (10)
1. a kind of intension recognizing method based on water conservancy diversion is it is characterised in that include：
Obtain customer problem to be identified；
Described customer problem to be identified is carried out be intended to coupling, has searched whether accurate intention,
Wherein, if described customer problem to be identified has accurate intention coupling, return and be accurately intended to matching result, conversely,
Then described customer problem to be identified is carried out with fuzzy entrance coupling, determines fuzzy entrance, and returned according to described fuzzy entrance
Corresponding answer.
2. the intension recognizing method based on water conservancy diversion according to claim 1 is asked it is characterised in that obtaining user to be identified
The described step of topic includes：
Gather user input Word message or multi-modal input information and extract customer parameter；
If input is multi-modal input information, described multi-modal input information and described customer parameter are converted to text lattice
Formula information；
Pretreatment is carried out to described Word message or described text formatting information and obtains described customer problem to be identified.
3. the intension recognizing method based on water conservancy diversion according to claim 1 is it is characterised in that to described user to be identified
Problem carries out being intended to coupling, searches whether that the described step of accurate intention includes：
Parse the key word of described customer problem to be identified；
Query statement is generated according to described key word；
It is intended in matching database be inquired about accurate using described query statement；
If in the described accurate answer being intended to have with described Keywords matching in matching database, judging described to be identified
Customer problem have accurate be intended to coupling, and return and accurate be intended to matching result.
4. the intension recognizing method based on water conservancy diversion according to claim 3 is it is characterised in that to described user to be identified
Problem carries out fuzzy entrance coupling, determines fuzzy entrance, and returns the described step bag of corresponding answer according to described fuzzy entrance
Include：
Fuzzy entrance coupling is carried out according to described key word, determines fuzzy entrance corresponding with described key word；
Judging below described fuzzy entrance, to whether there is accurate intention, if it has, then passing through rhetorical question to determine accurately intention, and returning
Corresponding answer.
If according to claim 4 based on multimedia intelligent robot exchange method it is characterised in that described mould
There is not accurate intention below paste entrance, then figure is led by default recommendation flow, return default answer.
6. a kind of intention assessment system based on water conservancy diversion is it is characterised in that include：
Acquisition module, for obtaining customer problem to be identified；
Intention assessment module, for carrying out to described customer problem to be identified being intended to coupling, has searched whether accurate intention,
Wherein, if described customer problem to be identified has accurate intention coupling, return and be accurately intended to matching result, conversely,
Then described customer problem to be identified is carried out with fuzzy entrance coupling, determines fuzzy entrance, and returned according to described fuzzy entrance
Corresponding answer.
7. the intention assessment system based on water conservancy diversion according to claim 6 is it is characterised in that described acquisition module includes：
Collecting unit, for gathering the Word message of user input or multi-modal input information and extracting customer parameter；
Converting unit, for being converted to text formatting information by described multi-modal input information and described customer parameter；
Pretreatment unit, for described Word message or described text formatting information are carried out pretreatment obtain described to be identified
Customer problem.
8. the intention assessment system based on water conservancy diversion according to claim 6 is it is characterised in that described intention assessment module bag
Include：
Resolution unit, for parsing the key word of described customer problem to be identified；
Query statement signal generating unit, for generating query statement according to described key word；
Query unit, for being intended in matching database be inquired about accurate using described query statement；
Result output unit, for making in the described accurate answer being intended to exist in matching database with described Keywords matching,
Judge that described customer problem to be identified has accurate intention coupling, and return accurate intention matching result.
9. the intention assessment system based on water conservancy diversion according to claim 8 it is characterised in that described intention assessment module also
Including：
Fuzzy entrance determining unit, for carrying out fuzzy entrance coupling according to described key word, determines corresponding with described key word
Fuzzy entrance；
Judging unit, for judging to whether there is accurate intention below described fuzzy entrance, if it has, then described result output is single
Unit is accurately intended to by rhetorical question determination, and returns corresponding answer.
If 10. the intention assessment system based on water conservancy diversion according to claim 9 is it is characterised in that described fuzzy entrance
There is not accurate intention below, then described result output unit leads figure by default recommendation flow, returns default answer.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/087770 WO2018000279A1 (en) | 2016-06-29 | 2016-06-29 | Diversion-based intention recognition method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106471502A true CN106471502A (en) | 2017-03-01 |
Family
ID=58230945
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201680001738.7A Pending CN106471502A (en) | 2016-06-29 | 2016-06-29 | Intension recognizing method based on water conservancy diversion and system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106471502A (en) |
| WO (1) | WO2018000279A1 (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106933807A (en) * | 2017-03-20 | 2017-07-07 | 北京光年无限科技有限公司 | Memorandum event-prompting method and system |
| CN109508376A (en) * | 2018-11-23 | 2019-03-22 | 四川长虹电器股份有限公司 | It can online the error correction intension recognizing method and device that update |
| CN109657444A (en) * | 2018-12-29 | 2019-04-19 | 上海智臻智能网络科技股份有限公司 | Safe verification method and device, storage medium, terminal |
| CN110119509A (en) * | 2019-05-10 | 2019-08-13 | 福建工程学院 | A kind of memorandum event intelligent prompt method based on semantic analysis |
| CN112256846A (en) * | 2020-09-28 | 2021-01-22 | 南方电网深圳数字电网研究院有限公司 | Man-machine conversation interaction method and system |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111400340B (en) * | 2020-03-12 | 2024-01-09 | 杭州城市大数据运营有限公司 | Natural language processing method, device, computer equipment and storage medium |
| CN111400453B (en) * | 2020-03-16 | 2024-03-08 | 上海百事通公共法律服务有限公司 | Intelligent interaction system and method based on legal consultation |
| CN113779206A (en) * | 2020-11-11 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Data processing method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286161A (en) * | 2008-05-28 | 2008-10-15 | 华中科技大学 | Intelligent Chinese request-answering system based on concept |
| CN104199825A (en) * | 2014-07-23 | 2014-12-10 | 清华大学 | Information inquiry method and system |
| CN104598445A (en) * | 2013-11-01 | 2015-05-06 | 腾讯科技（深圳）有限公司 | Automatic question-answering system and method |
| CN105335400A (en) * | 2014-07-22 | 2016-02-17 | 阿里巴巴集团控股有限公司 | Method and apparatus for obtaining answer information for questioning intention of user |
| CN105487663A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Intelligent robot oriented intention identification method and system |
| CN105677822A (en) * | 2016-01-05 | 2016-06-15 | 首都师范大学 | Enrollment automatic question-answering method and system based on conversation robot |
-
2016
- 2016-06-29 WO PCT/CN2016/087770 patent/WO2018000279A1/en active Application Filing
- 2016-06-29 CN CN201680001738.7A patent/CN106471502A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286161A (en) * | 2008-05-28 | 2008-10-15 | 华中科技大学 | Intelligent Chinese request-answering system based on concept |
| CN104598445A (en) * | 2013-11-01 | 2015-05-06 | 腾讯科技（深圳）有限公司 | Automatic question-answering system and method |
| CN105335400A (en) * | 2014-07-22 | 2016-02-17 | 阿里巴巴集团控股有限公司 | Method and apparatus for obtaining answer information for questioning intention of user |
| CN104199825A (en) * | 2014-07-23 | 2014-12-10 | 清华大学 | Information inquiry method and system |
| CN105487663A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Intelligent robot oriented intention identification method and system |
| CN105677822A (en) * | 2016-01-05 | 2016-06-15 | 首都师范大学 | Enrollment automatic question-answering method and system based on conversation robot |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106933807A (en) * | 2017-03-20 | 2017-07-07 | 北京光年无限科技有限公司 | Memorandum event-prompting method and system |
| CN109508376A (en) * | 2018-11-23 | 2019-03-22 | 四川长虹电器股份有限公司 | It can online the error correction intension recognizing method and device that update |
| CN109657444A (en) * | 2018-12-29 | 2019-04-19 | 上海智臻智能网络科技股份有限公司 | Safe verification method and device, storage medium, terminal |
| CN109657444B (en) * | 2018-12-29 | 2021-06-25 | 上海智臻智能网络科技股份有限公司 | Security verification method and device, storage medium and terminal |
| CN110119509A (en) * | 2019-05-10 | 2019-08-13 | 福建工程学院 | A kind of memorandum event intelligent prompt method based on semantic analysis |
| CN112256846A (en) * | 2020-09-28 | 2021-01-22 | 南方电网深圳数字电网研究院有限公司 | Man-machine conversation interaction method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018000279A1 (en) | 2018-01-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106471502A (en) | Intension recognizing method based on water conservancy diversion and system | |
| CN108804521B (en) | Knowledge graph-based question-answering method and agricultural encyclopedia question-answering system | |
| CN108345690B (en) | Intelligent question and answer method and system | |
| CN110309393B (en) | Data processing method, device, equipment and readable storage medium | |
| JP6309644B2 (en) | Method, system, and storage medium for realizing smart question answer | |
| CN104216913B (en) | Question answering method, system and computer-readable medium | |
| CN102262634B (en) | Automatic questioning and answering method and system | |
| CN106682194A (en) | Answer positioning method and device based on deep questions and answers | |
| CN102567509B (en) | Method and system for instant messaging with visual messaging assistance | |
| CN113505586A (en) | Seat-assisted question-answering method and system integrating semantic classification and knowledge graph | |
| CN102737022B (en) | Method and device for acquiring and searching relevant knowledge information | |
| CN105573977A (en) | Method and system for identifying Chinese event sequential relationship | |
| CN108345686A (en) | A kind of data analysing method and system based on search engine technique | |
| US20220083549A1 (en) | Generating query answers from a user's history | |
| CN112149386A (en) | Event extraction method, storage medium and server | |
| US11487795B2 (en) | Template-based automatic software bug question and answer method | |
| CN113918702B (en) | Semantic matching-based online law automatic question-answering method and system | |
| CN110275949A (en) | Auto-answer method and system for application of providing a loan | |
| CN110008314B (en) | Intention analysis method and device | |
| CN112732969A (en) | Image semantic analysis method and device, storage medium and electronic equipment | |
| CN111046168A (en) | Method, apparatus, electronic device, and medium for generating patent summary information | |
| CN114238735B (en) | Intelligent internet data acquisition method | |
| CN115982322A (en) | Water conservancy industry design field knowledge graph retrieval method and retrieval system | |
| CN115730078A (en) | Event knowledge graph construction method and device for class case retrieval and electronic equipment | |
| CN109284364B (en) | Interactive vocabulary updating method and device for voice microphone-connecting interaction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170301 |