CN109947893A - Address Recognition method and device - Google Patents
Address Recognition method and device Download PDFInfo
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- CN109947893A CN109947893A CN201711311003.7A CN201711311003A CN109947893A CN 109947893 A CN109947893 A CN 109947893A CN 201711311003 A CN201711311003 A CN 201711311003A CN 109947893 A CN109947893 A CN 109947893A
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Abstract
The embodiment of the present application provides a kind of Address Recognition method and device, and method includes: to carry out cutting processing to the address to identify according to Hash table to the address, and determine unrecognizable address element in the address；According to Address factor scale model, similitude judgement is carried out to Address factor unrecognizable in the Chinese address, to identify to unrecognizable Address factor in the Chinese address, so as to identify to Address factor unrecognizable in Chinese address.
Description
Technical field
The invention relates to technical field of data processing more particularly to a kind of Address Recognition method and devices.
Background technique
With quickly propelling for Process of Urbanization Construction process, and mobile Internet of Things rapid development need a large amount of address and
Location information, roading changes with the variation of urban planning in the process, address how is quickly identified, by address
It matches and one of is a problem to be solved with administrative region.
Since the address information of Chinese more uses habitual edit methods, there is certain personalized describing mode,
And not formed unified standard.Existing Address Recognition method, which generally passes through, simply to be segmented, and is carried out to address positive or inverse
To the matched strategy of maximum value.But this method can not solve adjacent district, especially adjacent street, small towns for address
It influences, i.e., often there is the address element that cannot be identified in Chinese address identification process, such as the different address on a street
When may belong to two different administrative divisions, then when Chinese address identifies, the Chinese including the street can not be successfully identified
Address.
Summary of the invention
In view of this, one of the technical issues of embodiment of the present invention is solved is to provide a kind of Address Recognition method and dress
It sets, to overcome above-mentioned technological deficiency in the prior art.
The embodiment of the present application provides a kind of Address Recognition method comprising:
Cutting processing is carried out to identify according to Hash table to the address to the address, and is determined in the address
Unrecognizable address element；
According to Address factor scale model, similitude is carried out to Address factor unrecognizable in the Chinese address and is sentenced
It is disconnected, to be identified to unrecognizable Address factor in the Chinese address.
Optionally, in any embodiment of the application, to the address carry out cutting processing with according to Hash table to institute
It states address to be identified, and determines that unrecognizable address element includes: in the address
Character cutting is carried out to the address, and is obtained according to the Hash table and to address progress character cutting
Character, to the address carry out word segmentation processing；
According to the address carry out word segmentation processing as a result, identified to the address, and determine in the address
Unrecognizable address element.
Optionally, in any embodiment of the application, character cutting is carried out to the address, and according to the Hash table
And the character that character cutting obtains is carried out to the address, carrying out word segmentation processing to the address includes:
Character cutting is carried out to the address, and is obtained according to the Hash table and to address progress character cutting
Character, the character mode for determining the character that cutting obtains and the node relationships in the Hash table；
According to the character mode of character and the node relationships in the Hash table, the address is carried out at participle
Reason.
Optionally, in any embodiment of the application, character cutting is carried out to the address, and according to the Hash table
And the character that character cutting obtains is carried out to the address, determine the character mode for the character that cutting obtains and in the Kazakhstan
Node relationships in uncommon table include: character cutting carried out to the address, and according to the Hash table and to the address into
The current character and character late that line character cutting obtains, determine the character late that cutting obtains character mode and
The node relationships of current character and character late in the Hash table.
Optionally, in any embodiment of the application, unrecognizable address element in the address is determined: according to institute
The index for stating the length of the character string of corresponding address element and character string in the Haas table in address, determines in the address not
Identifiable address element.
Optionally, in any embodiment of the application, according to Address factor scale model, in the Chinese address
Unrecognizable Address factor carries out similitude judgement, to identify to unrecognizable Address factor in the Chinese address
Before further include: Address factor scale model is established according to unrecognizable historical address element.
Optionally, in any embodiment of the application, Address factor is established according to unrecognizable historical address element
Scale model includes: the distribution of the distribution probability and the historical address and administrative region according to Address factor and historical address
Probability establishes Address factor scale model.
Optionally, in any embodiment of the application, each described historical address is abstracted into document, the document
In the corresponding Address factor of each word；The administrative region is abstracted into main body；
Accordingly, according to point of the distribution probability and the historical address of Address factor and historical address and administrative region
Cloth probability establishes Address factor scale model
According to the distribution probability of Address factor and historical address, the conditional probability of the theme is determined；
According to the distribution probability of the historical address and administrative region, according to the conditional probability of word in the document；
The conditional probability of word establishes Address factor scale model in the conditional probability of the theme and the document.
Optionally, in any embodiment of the application, according to Address factor scale model, in the Chinese address not
Identifiable Address factor carries out similitude judgement, to carry out identification packet to unrecognizable Address factor in the Chinese address
It includes:
According to according to Address factor scale model, similitude is carried out to Address factor unrecognizable in the Chinese address
Judgement, obtains the probability that the unrecognizable Address factor belongs to different administrative regions；
The probability for belonging to different administrative regions according to the unrecognizable Address factor, to can not in the Chinese address
The Address factor of identification is identified.
The embodiment of the present application further includes a kind of address recognition unit comprising:
First unit, for carrying out cutting processing to the address to identify according to Hash table to the address, and
Determine unrecognizable address element in the address；
Second unit is used for according to Address factor scale model, to unrecognizable Address factor in the Chinese address
Similitude judgement is carried out, to identify to unrecognizable Address factor in the Chinese address.
Address Recognition method and device provided by the embodiments of the present application, by carrying out cutting processing to the address with basis
Hash table identifies the address, and determines unrecognizable address element in the address；Further according to Address factor phase
Like model, similitude judgement is carried out to Address factor unrecognizable in the Chinese address, in the Chinese address not
Identifiable Address factor is identified, so as to identify to unrecognizable Address factor in Chinese address hygiene.
Detailed description of the invention
The some specific of the embodiment of the present application is described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter
Embodiment.Identical appended drawing reference denotes same or similar part or part in attached drawing.Those skilled in the art should manage
Solution, the drawings are not necessarily drawn to scale.In attached drawing:
Fig. 1 is Address Recognition method flow schematic diagram in the embodiment of the present application one；
Fig. 2 is the structural schematic diagram of address recognition unit in the embodiment of the present application two.
Specific embodiment
Any technical solution for implementing the embodiment of the present invention must be not necessarily required to reach simultaneously above all advantages.
In order to make those skilled in the art more fully understand the technical solution in the embodiment of the present invention, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described reality
Applying example only is a part of the embodiment of the embodiment of the present invention, instead of all the embodiments.Based on the implementation in the embodiment of the present invention
The range of protection of the embodiment of the present invention all should belong in example, those of ordinary skill in the art's every other embodiment obtained.
In following embodiments, by taking the identification of Chinese address as an example, and Chinese address is constituted, four constituting portion of address
Divide and includes:
(1) administrative division: by the descending sequence in administrative region more than small towns.According to " People's Republic of China (PRC) is administrative
Area code " (GB2260-1995), administrative division is divided into level Four: the first order is provinces, autonomous regions and municipalities and special administrative region；
The second level is city, area, autonomous prefecture, the affiliated districts under city administration of alliance and national municipality directly under the Central Government and county；The third level be county, districts under city administration, county-level city,
Flag；The fourth stage is township, town, village.
(2) street: mainly show the way name and street name etc..
(3) number, building plate, building name and room number etc. the bar trade mark: are referred mainly to.
(4) supplemental information: refer to the organization names added or the vocabulary of representation space relationship after the bar trade mark.
The following embodiments of the present invention are based on the identification that similar above-mentioned rule carries out Chinese address.
Address Recognition method and device provided by the embodiments of the present application, by carrying out cutting processing to the address with basis
Hash table identifies the address, and determines unrecognizable address element in the address；Further according to Address factor phase
Like model, similitude judgement is carried out to Address factor unrecognizable in the Chinese address, in the Chinese address not
Identifiable Address factor is identified, so as to identify to unrecognizable Address factor in Chinese address hygiene.
Below with reference to attached drawing of the embodiment of the present invention the embodiment of the present invention will be further explained specific implementation.
Fig. 1 is Address Recognition method flow schematic diagram in the embodiment of the present application one；As shown in Figure 1, comprising:
S101, cutting processing is carried out to the Chinese address to identify according to Hash table to the Chinese address, and
Determine unrecognizable address element in the Chinese address；
In the present embodiment, in step S101 to the Chinese address carry out cutting processing with according to Hash table in described
Literary address is identified, and can specifically include when unrecognizable address element in the determining Chinese address:
Firstly, to the Chinese address carry out character cutting, and according to the Hash table and to the Chinese address into
The character that line character cutting obtains carries out word segmentation processing to the Chinese address；
Secondly, according to the Chinese address carry out word segmentation processing as a result, identified to the Chinese address, and really
Unrecognizable address element in the fixed Chinese address.
Optionally, in the present embodiment, character cutting is being carried out to the Chinese address in step S101, and according to the Kazakhstan
Uncommon table and the character that Chinese address progress character cutting is obtained, it is specific when to Chinese address progress word segmentation processing
May include:
Firstly, to the Chinese address carry out character cutting, and according to the Hash table and to the Chinese address into
The character that line character cutting obtains determines that the character mode for the character that cutting obtains and the node in the Hash table close
System；
Secondly, according to the character mode of character and the node relationships in the Hash table, to the Chinese address into
Row word segmentation processing.
Optionally, in step S101, character cutting is being carried out to the Chinese address, and according to the Hash table and right
The Chinese address carries out the character that character cutting obtains, and determines the character mode for the character that cutting obtains and in the Hash
Can specifically be same as carrying out the Chinese address character cutting when node relationships in table, and according to the Hash table and
The current character and character late that character cutting obtains are carried out to the Chinese address, determine the character late that cutting obtains
Character mode and in the Hash table current character and character late node relationships.
In a concrete application scene, above-mentioned steps S101 is realized based on Forward Maximum Method mechanism, detailed process is as follows:
(1) i-th of character C in Chinese address is readi；
(2) current character C is searched from the hash table of relationship between recording address element and address elementi, and formed and worked as
Front nodal point；
(3) the i+1 character C in Chinese address is readi+1, in current character CiThe present node in the hash table
Child node (or next stage node) search character Ci+1If not finding, participle terminates, and goes to (5)；It otherwise will be described
The child node of current node reads character mode as new present node, if the character mode is not final state,
Jump to above-mentioned (2)；Otherwise, following (4) are gone to；
(4) word is extracted, above-mentioned (1) is gone to；
(5) judge current character CiCharacter mode then index plus 1 (search the son section of present node if extension state
Point), it goes to above-mentioned (1) and re-reads i+1 character C in Chinese addressi+1。
The treatment process of above-mentioned (1)-(5) is a kind of positive maximum matched specific implementation, and Chinese address is split as tool
There is the word of longest Address factor.If the index that address is gone here and there after participle is the length of address string, illustrate that the Chinese address is complete
Portion's identification, then can directly terminate process, alternatively, the processing that can continue to execute following step S102 carries out address similarity
It calculates.
S102, according to Address factor scale model, Address factor unrecognizable in the Chinese address is carried out similar
Property judgement, to be identified to unrecognizable Address factor in the Chinese address.
Optionally, in the present embodiment, unrecognizable address element in the Chinese address is determined: according to the Chinese
The index of the length of the character string of corresponding address element and character string in the Haas table, determines in the Chinese address in address
Unrecognizable address element.
Optionally, in the present embodiment, according to Address factor scale model, to unrecognizable in the Chinese address
Address factor carries out similitude judgement, also to wrap before being identified to unrecognizable Address factor in the Chinese address
It includes: Address factor scale model is established according to unrecognizable historical address element.
Optionally, in the present embodiment, Address factor scale model packet is established according to unrecognizable historical address element
It includes: establishing ground according to the distribution probability and the historical address of Address factor and historical address and the distribution probability of administrative region
Location element scale model.
Optionally, in the present embodiment, each described historical address is abstracted into document, each word pair in the document
Answer an Address factor；The administrative region is abstracted into main body；
Accordingly, according to point of the distribution probability and the historical address of Address factor and historical address and administrative region
Cloth probability establishes Address factor scale model
According to the distribution probability of Address factor and historical address, the conditional probability of the theme is determined；
According to the distribution probability of the historical address and administrative region, according to the conditional probability of word in the document；
The conditional probability of word establishes Address factor scale model in the conditional probability of the theme and the document.
Optionally, in the present embodiment, according to Address factor scale model, in the Chinese address unrecognizablely
Location element carries out similitude judgement, includes: to carry out identification to unrecognizable Address factor in the Chinese address
According to according to Address factor scale model, similitude is carried out to Address factor unrecognizable in the Chinese address
Judgement, obtains the probability that the unrecognizable Address factor belongs to different administrative regions；
The probability for belonging to different administrative regions according to the unrecognizable Address factor, to can not in the Chinese address
The Address factor of identification is identified.
The detailed implementing procedure in a concrete application scene of above-mentioned steps S102 illustrated below:
Each described historical address is abstracted into document, multiple historical address are abstracted into a document sets；In the document
The corresponding Address factor of each word；The administrative region is abstracted into main body.
1. being first randomly derived a theme-Document distribution from document-theme distributionThen m documents are obtained
N-th of theme zm,n；
2. obtaining theme is z in K theme distribution in pair training setm,nTheme, be distributed to obtain word according to theme-word
wm,n；
3.Corresponding dirichlet distribution, physical meaning is the random mixed distribution of potential theme,It is its elder generation
Probability parameter is tested,It being distributed corresponding to multinomial, physical meaning is the multinomial distribution of a potential theme,
Entirety is a dirichlet-multinomial conjugated structure；
Obtain the conditional probability calculation formula of theme:
WhereinIndicate a number vector of word in m documents；
5.Meeting dirichlet distribution, physical meaning is the random mixed distribution of word,It is its prior probability ginseng
Number, andMeet multinomial distribution, physical meaning is the multinomial distribution of word.
Therefore the condition probability formula of word is obtained:
Wherein,Indicate the word number vector that k-th of theme generates；
6. being distributed based on two above, the word in document is obtained in the joint probability distribution calculation formula of theme
It calculates first
After obtaining the joint probability distribution of descriptor, it is trained, is obtained by MCMC algorithm and gibbs sampler process
VariableWithValue, complete LDA probabilistic model.
7. for new unrecognizable Address factor, by variableWithValue be updated in the formula of step 6 to obtain the final product
Belong to the probability of the administrative division to the address, is finally ranked up according to probability size.
Due in above-mentioned formulaWithTherefore, difference can be obtained in the formula in step 6When it is general
Rate value, wherein it is preferred that when taking most probable value unrecognizable Address factor and administrative division syntagmatic, to be identified
Chinese address.
Fig. 2 is the structural schematic diagram of address recognition unit in the embodiment of the present application two；As shown in Fig. 2, comprising:
First unit 201, for the Chinese address carry out cutting processing with according to Hash table to the Chinese address
It is identified, and determines unrecognizable address element in the Chinese address；
Second unit 202, for being wanted to unrecognizable address in the Chinese address according to Address factor scale model
Element carries out similitude judgement, to identify to unrecognizable Address factor in the Chinese address.
Optionally, in any embodiment of the application, the first unit is further used for:
Character cutting is carried out to the Chinese address, and carries out character according to the Hash table and to the Chinese address
The character that cutting obtains carries out word segmentation processing to the Chinese address；
According to the Chinese address carry out word segmentation processing as a result, identified to the Chinese address, and determine institute
State unrecognizable address element in Chinese address.
Optionally, in any embodiment of the application, the first unit be further used for the Chinese address into
Line character cutting, and the character that character cutting obtains is carried out according to the Hash table and to the Chinese address, determine cutting
The character mode of obtained character and the node relationships in the Hash table；And according to the character mode of character and
Node relationships in the Hash table carry out word segmentation processing to the Chinese address.
Optionally, in any embodiment of the application, the first unit be further used for the Chinese address into
Line character cutting, and according to the Hash table and to the Chinese address carry out the obtained current character of character cutting with it is next
A character determines the character mode for the character late that cutting obtains and current character and next word in the Hash table
The node relationships of symbol.
Optionally, in any embodiment of the application, the first unit is further used for according to the Chinese address
The index of character string in the length of the character string of middle corresponding address element and the Haas table, determining can not in the Chinese address
The address element of identification.
Optionally, in any embodiment of the application, the first unit is further used for being gone through according to unrecognizable
History Address factor establishes Address factor scale model.
Optionally, in any embodiment of the application, optionally, in any embodiment of the application, described first
Unit is further used for point of distribution probability and the historical address and administrative region according to Address factor and historical address
Cloth probability establishes Address factor scale model.
Optionally, in any embodiment of the application, each described historical address is abstracted into document, the document
In the corresponding Address factor of each word；The administrative region is abstracted into main body；
Optionally, in any embodiment of the application, the first unit is further used for: according to Address factor with go through
The distribution probability of history address determines the conditional probability of the theme；According to the distribution probability of the historical address and administrative region,
According to the conditional probability of word in the document；And the conditional probability of the theme and the conditional probability of word in the document are built
Vertical Address factor scale model.
Optionally, in any embodiment of the application, the second unit is further used for according to according to Address factor
Scale model carries out similitude judgement to Address factor unrecognizable in the Chinese address, obtains described unrecognizable
Address factor belongs to the probability of different administrative regions；And different administrative regions are belonged to according to the unrecognizable Address factor
Probability, unrecognizable Address factor in the Chinese address is identified.
The apparatus embodiments described above are merely exemplary, wherein described, module can as illustrated by the separation member
It is physically separated with being or may not be, the component shown as module may or may not be physics mould
Block, it can it is in one place, or may be distributed on multiple network modules.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, the computer readable recording medium include for
Any mechanism of the readable form storage of computer (such as computer) or transmission information.For example, machine readable media includes only
Read memory (ROM), random access memory (RAM), magnetic disk storage medium, optical storage media, flash medium, electricity, light,
Sound or the transmitting signal (for example, carrier wave, infrared signal, digital signal etc.) of other forms etc., which includes
Some instructions are used so that a computer equipment (can be personal computer, server or the network equipment etc.) executes respectively
Method described in certain parts of a embodiment or embodiment.
Finally, it should be noted that above embodiments are only to illustrate the technical solution of the embodiment of the present application, rather than it is limited
System；Although the application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: its
It is still possible to modify the technical solutions described in the foregoing embodiments, or part of technical characteristic is equal
Replacement；And these are modified or replaceed, each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution
Spirit and scope.
It will be understood by those skilled in the art that the embodiment of the embodiment of the present invention can provide as method, apparatus (equipment) or
Computer program product.Therefore, the embodiment of the present invention can be used complete hardware embodiment, complete software embodiment or combine soft
The form of the embodiment of part and hardware aspect.Moreover, it wherein includes to calculate that the embodiment of the present invention, which can be used in one or more,
Computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, the optical memory of machine usable program code
Deng) on the form of computer program product implemented.
The embodiment of the present invention referring to according to the method for the embodiment of the present invention, device (equipment) and computer program product
Flowchart and/or the block diagram describes.It should be understood that can be realized by computer program instructions every in flowchart and/or the block diagram
The combination of process and/or box in one process and/or box and flowchart and/or the block diagram.It can provide these computers
Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To generate a machine, so that generating use by the instruction that computer or the processor of other programmable data processing devices execute
In the dress for realizing the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram
It sets.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Claims (10)
1. a kind of Address Recognition method characterized by comprising
Cutting processing is carried out to identify according to Hash table to the address to the address, and determining can not in the address
The address element of identification；
According to Address factor scale model, similitude judgement is carried out to Address factor unrecognizable in the Chinese address, with
Unrecognizable Address factor in the Chinese address is identified.
2. the method according to claim 1, wherein carrying out cutting processing according to Hash table pair to the address
The address is identified, and determines that unrecognizable address element includes: in the address
Character cutting is carried out to the address, and carries out the word that character cutting obtains according to the Hash table and to the address
Symbol carries out word segmentation processing to the address；
According to the address carry out word segmentation processing as a result, identified to the address, and determining can not in the address
The address element of identification.
3. according to the method described in claim 2, it is characterized in that, character cutting is carried out to the address, and according to the Kazakhstan
Uncommon table and the character obtained to address progress character cutting, carrying out word segmentation processing to the address includes:
Character cutting is carried out to the address, and carries out the word that character cutting obtains according to the Hash table and to the address
Symbol, the character mode for determining the character that cutting obtains and the node relationships in the Hash table；
According to the character mode of character and the node relationships in the Hash table, word segmentation processing is carried out to the address.
4. according to the method described in claim 3, it is characterized in that, character cutting is carried out to the address, and according to the Kazakhstan
Uncommon table and the character obtained to address progress character cutting, determine the character mode for the character that cutting obtains and in institute
Stating the node relationships in Hash table includes: to carry out character cutting to the address, and according to the Hash table and to describedly
Location carries out the obtained current character of character cutting and character late, determine the character mode for the character late that cutting obtains with
And in the Hash table current character and character late node relationships.
5. according to the method described in claim 3, it is characterized in that, determining unrecognizable address element in the address: root
According to the index of character string in the length of the character string of corresponding address element in the address and the Haas table, the address is determined
In unrecognizable address element.
6. the method according to claim 1, wherein according to Address factor scale model, to the Chinese ground
Unrecognizable Address factor carries out similitude judgement in location, to carry out to Address factor unrecognizable in the Chinese address
Before identification further include: establish Address factor scale model according to unrecognizable historical address element.
7. according to the method described in claim 6, being wanted it is characterized in that, establishing address according to unrecognizable historical address element
Plain scale model includes: point of the distribution probability and the historical address and administrative region according to Address factor and historical address
Cloth probability establishes Address factor scale model.
8. described the method according to the description of claim 7 is characterized in that each described historical address is abstracted into document
The corresponding Address factor of each word in document；The administrative region is abstracted into main body；
Accordingly, the distribution according to the distribution probability and the historical address and administrative region of Address factor and historical address is general
Rate establishes Address factor scale model
According to the distribution probability of Address factor and historical address, the conditional probability of the theme is determined；
According to the distribution probability of the historical address and administrative region, according to the conditional probability of word in the document；
The conditional probability of word establishes Address factor scale model in the conditional probability of the theme and the document.
9. according to the method described in claim 8, it is characterized in that, according to Address factor scale model, to the Chinese address
In unrecognizable Address factor carry out similitude judgement, to know to unrecognizable Address factor in the Chinese address
Do not include:
According to according to Address factor scale model, similitude is carried out to Address factor unrecognizable in the Chinese address and is sentenced
It is disconnected, obtain the probability that the unrecognizable Address factor belongs to different administrative regions；
The probability for belonging to different administrative regions according to the unrecognizable Address factor, to not can recognize in the Chinese address
Address factor identified.
10. a kind of address recognition unit characterized by comprising
First unit for carrying out cutting processing to the address to identify according to Hash table to the address, and determines
Unrecognizable address element in the address；
Second unit, for being carried out to Address factor unrecognizable in the Chinese address according to Address factor scale model
Similitude judgement, to be identified to unrecognizable Address factor in the Chinese address.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711311003.7A CN109947893A (en) | 2017-12-11 | 2017-12-11 | Address Recognition method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711311003.7A CN109947893A (en) | 2017-12-11 | 2017-12-11 | Address Recognition method and device |
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| WO2017040632A4 (en) * | 2015-08-31 | 2017-06-22 | Omniscience Corporation | Event categorization and key prospect identification from storylines |
| CN107423295A (en) * | 2016-05-24 | 2017-12-01 | 张向利 | A kind of magnanimity address date intelligence fast matching method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080319974A1 (en) * | 2007-06-21 | 2008-12-25 | Microsoft Corporation | Mining geographic knowledge using a location aware topic model |
| WO2017040632A4 (en) * | 2015-08-31 | 2017-06-22 | Omniscience Corporation | Event categorization and key prospect identification from storylines |
| CN105630765A (en) * | 2015-12-21 | 2016-06-01 | 浙江万里学院 | Place name address identifying method |
| CN107423295A (en) * | 2016-05-24 | 2017-12-01 | 张向利 | A kind of magnanimity address date intelligence fast matching method |
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Application publication date: 20190628 |