CN113378572A - Named entity identification method and device, electronic equipment and storage medium - Google Patents
Named entity identification method and device, electronic equipment and storage medium Download PDFInfo
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- CN113378572A CN113378572A CN202110695139.2A CN202110695139A CN113378572A CN 113378572 A CN113378572 A CN 113378572A CN 202110695139 A CN202110695139 A CN 202110695139A CN 113378572 A CN113378572 A CN 113378572A
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000010276 construction Methods 0.000 claims abstract description 23
- 206010008479 Chest Pain Diseases 0.000 description 17
- 208000002193 Pain Diseases 0.000 description 17
- 206010033557 Palpitations Diseases 0.000 description 15
- 238000010586 diagram Methods 0.000 description 10
- 230000035807 sensation Effects 0.000 description 8
- 206010000891 acute myocardial infarction Diseases 0.000 description 7
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000001154 acute effect Effects 0.000 description 2
- 208000023482 precordial pain Diseases 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
- G06F40/295—Named entity recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/0485—Scrolling or panning
- G06F3/04855—Interaction with scrollbars
Abstract
The invention relates to a named entity identification method, a named entity identification device, electronic equipment and a storage medium, wherein the method comprises the following steps: constructing a first window by a text input window construction module to be recognized and outputting a first text; identifying entities in the first text to obtain a first group of entities; inputting the last entity in the first group of entities into a window sliding module, and inputting the position of the last entity plus one into a window building module as the initial position of the next window sliding module; the window construction module constructs a second window from the position of the last entity plus one and outputs a second text; identifying entities in the second text results in a second set of entities. According to the method and the device, the entity cannot be divided into two parts through the window construction module and the window sliding module, and the part from the end of the last entity of the previous window to the end of the previous window can be used as the context of the next window through the sliding window, so that the entity identification information cannot be lost, and the accuracy of entity identification is improved.
Description
Technical Field
The invention relates to the technical field of knowledge maps, in particular to a named entity identification method, a named entity identification device, electronic equipment and a storage medium.
Background
At present, in the field of knowledge mapping, a named entity recognition task is an important basic task. In the task, we need to extract several named entities from a natural text, such as named entities of country classes of "China", "India", etc. from "countries of China, India, etc. in Asia". The current relatively good solution to long texts is as follows: the method comprises the steps of cutting an input long text into a plurality of small segments, identifying named entities of each segment to obtain a plurality of named entity sequences, and finally splicing the named entity sequences to obtain a final result.
The context of each segment is lost, resulting in inaccurate named entity recognition. Since named entity recognition requires a reasonable context to predict the correct result. If the context is lost, the entity identification module predicts an error. A named entity may be divided into two different segments, which may result in the named entity not being correctly identified.
Disclosure of Invention
The invention provides a named entity identification method, a named entity identification device, electronic equipment and a storage medium, which can solve the technical problem that the named entity cannot be correctly identified.
The technical scheme for solving the technical problems is as follows:
in a first aspect, an embodiment of the present invention provides a named entity identification method, which is applied to a method including: in a system of a window building module and a window sliding module, comprising:
acquiring a text to be identified;
constructing a first window by a text input window construction module to be recognized and outputting a first text;
identifying named entities in the first text to obtain a first group of named entities;
inputting the last named entity in the first group of entities into a window sliding module, and inputting the position of the last named entity plus one into a window building module as the initial position of the next window sliding module;
the window construction module constructs a second window from the position of the last named entity plus one and outputs a second text;
identifying named entities in the second text to obtain a second group of named entities;
in some embodiments, the named entity identifying method further includes:
inputting the last named entity in the second group of named entities into a window sliding module;
the position of the last named entity plus one is used as the initial position of the next window sliding module and is input into a window building module, and the window building module builds a third window from the position of the last named entity plus one and outputs a third text;
identifying named entities in the third text to obtain a third group of named entities;
and obtaining a plurality of groups of named entities until the text to be recognized is recognized.
In some embodiments, the named entity identifying method further includes: if the number of named entities in the first text is identified to be 0;
taking the middle position of the first text as the initial position of the next window sliding module, inputting the initial position into a window building module, building a second window from the middle position of the first text by the window building module, and outputting a second text;
identifying the named entities in the second text results in a second set of named entities.
In some embodiments, the named entity identifying method further includes: and storing the plurality of groups of named entities into a result cache module.
In some embodiments, the length of the first text in the named entity recognition method is smaller than the length of the text to be recognized;
the length of the first text is greater than or equal to the length of the second text.
In some embodiments, in the named entity identification method above:
the first group of named entities obtained by identifying the named entities in the first text and the second group of named entities obtained by identifying the named entities in the second text are both identified through an entity identification module.
In some embodiments, in the named entity identification method above: the length of the first window is equal to the maximum recognizable text length of the entity recognition module.
In a second aspect, an embodiment of the present invention provides a named entity identifying device, including:
an acquisition module: the method comprises the steps of obtaining a text to be identified;
an input-output module: the text input window building module is used for building a first window for outputting a first text;
a first identification module: the first text is used for identifying named entities in the first text to obtain a first group of named entities;
an input module: the window sliding module is used for inputting the last named entity in the first group of named entities; the position of the last named entity plus one is used as the initial position of the next window sliding module and is input into the window building module;
an output module: the window construction module is used for constructing a second window from the position of the last named entity plus one and outputting a second text;
a second identification module: for identifying the named entities in the second text results in a second set of named entities.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;
the processor is operable to execute a named entity recognition method as described in any one of the above by calling a program or instructions stored in the memory.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a program or instructions, and the program or instructions cause a computer to execute a named entity identification method as described in any one of the above.
The invention has the beneficial effects that: the method comprises the steps of obtaining a text to be identified; constructing a first window by a text input window construction module to be recognized and outputting a first text; identifying entities in the first text to obtain a first group of named entities; inputting the last named entity in the first group of named entities into a window sliding module, and inputting the position of the last named entity plus one into a window building module as the initial position of the next window sliding module; the window construction module constructs a second window from the position of the last named entity plus one and outputs a second text; identifying the named entities in the second text results in a second set of named entities. The method and the device can well process the segmentation problem of the text to be recognized through the window construction module and the window sliding module, the named entity is not segmented into two parts, and the part between the end of the last entity of the previous window and the end position of the previous window can be used as the context of the next window through the sliding window, so that entity recognition information cannot be lost, and the accuracy of entity recognition is improved.
Drawings
Fig. 1 is a first diagram of a named entity identification method according to an embodiment of the present invention;
fig. 2 is a diagram of a named entity recognition method according to an embodiment of the present invention;
fig. 3 is a third diagram of a named entity recognition method according to an embodiment of the present invention;
fig. 4 is a diagram of a named entity recognition apparatus according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
In order that the above objects, features and advantages of the present application can be more clearly understood, the present disclosure will be further described in detail with reference to the accompanying drawings and examples. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. The specific embodiments described herein are merely illustrative of the disclosure and are not limiting of the application. All other embodiments that can be derived by one of ordinary skill in the art from the description of the embodiments are intended to be within the scope of the present disclosure.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Fig. 1 is a first diagram of a named entity identification method according to an embodiment of the present invention.
In a first aspect, an embodiment of the present invention provides a named entity identification method, which is applied to a method including: in a system of a window building module and a window sliding module, comprising:
s101, acquiring a text to be identified;
specifically, the text to be recognized in the embodiment of the present application may be any natural text, for example: the patient is sent to the local hospital immediately and diagnosed as acute myocardial infarction and rescued immediately due to sudden precordial severe pain accompanied by chest distress and palpitation.
S102, constructing a first window by a text input window construction module to be recognized and outputting a first text;
specifically, in the embodiment of the present application, the window construction module constructs the first window with a length of 13, which takes "the patient feels severe pain in precordial area due to sudden sensation, accompanied by chest distress and palpitation, immediately sends to the local hospital, diagnoses as acute myocardial infarction, and immediately rescues" as an example, and the first text is "the patient feels severe pain in precordial area due to sudden sensation, accompanied by chest".
S103, identifying named entities in the first text to obtain a first group of named entities;
specifically, in the embodiment of the present application, taking the first text "patient feels severe pain in precordial area due to sudden sensation, accompanied by chest" as an example, the named entity in the first text "patient feels severe pain in precordial area due to sudden sensation, accompanied by chest" is identified as "precordial area".
S104, inputting the last named entity in the first group of named entities into a window sliding module, and inputting the position of the last named entity plus one into a window building module as the initial position of the next window sliding module;
specifically, in the embodiment of the present application, taking the last named entity "precordial" as an example, a "play" behind the precordial is started as a starting position of a next window, and is input to the window construction module.
S105, the window construction module constructs a second window from the last named entity plus one and outputs a second text;
specifically, in the embodiment of the present application, the second window is constructed from "drama" and the second text is output to obtain "severe pain, chest distress, palpitation, and immediate sending".
And S106, identifying the named entities in the second text to obtain a second group of named entities.
Specifically, in the embodiment of the present application, named entities of "severe pain, chest distress and palpitation, and immediate sending" are identified as "chest distress" and "palpitation". The overlap is "severe pain with chest" which both preserves context and prevents the named entity "chest distress" from being cut off.
It should be understood that the named entity in the above text to be recognized "patient feels sudden precordial pain with chest distress and palpitation immediately sent to local hospital, diagnosed as acute myocardial infarction and immediately rescued" is not recognized and is continuously recognized through the following steps S201 to S204.
Fig. 2 is a diagram of a named entity identification method provided by the embodiment of the present invention.
In some embodiments, with reference to fig. 2, the named entity identifying method further includes:
s201: inputting the last named entity in the second group of named entities into a window sliding module;
specifically, in the embodiment of the present application, taking the last named entity "palpitation" as an example, the "standing" behind the palpitation is used as the starting position of the next window, and is input into the window building module.
S202: the position of the last named entity plus one is used as the initial position of the next window sliding module and is input into a window building module, and the window building module builds a third window from the position of the last named entity plus one and outputs a third text;
specifically, in the present embodiment, a third window is constructed from "immediately" and a third text is output to "immediately send to the local hospital and diagnose as acute".
S203: identifying named entities in the third text to obtain a third group of named entities;
specifically, in the examples of the present application, the named entities identified as "immediately sent to local hospital and diagnosed as acute" are used to derive a third set of named entities.
S204: and obtaining a plurality of groups of named entities until the text to be recognized is recognized.
Specifically, in the embodiment of the application, a window and a sliding window are sequentially constructed until the named entity in the process that the patient feels severe pain in the precordial region with chest distress and palpitation due to sudden induction and is immediately sent to a local hospital to be diagnosed as acute myocardial infarction and immediately rescued is identified and ended.
Fig. 3 is a third diagram of a named entity identification method according to an embodiment of the present invention.
In some embodiments, the named entity identifying method further includes:
s301: if the number of named entities in the first text is identified to be 0;
s302: taking the middle position of the first text as the initial position of the next window sliding module, and inputting the initial position into a window building module;
s303: the window construction module constructs a second window from the middle position of the first text and outputs a second text;
s304: identifying the named entities in the second text results in a second set of named entities.
Specifically, taking "the patient feels sudden precordial pain with chest distress and palpitation immediately sent to a local hospital, and is diagnosed as acute myocardial infarction and immediately rescued" as an example, assuming that the window width is 6, the first text is "the patient feels sudden heart, no named entity, and the second text is" sudden precordial drama ", and the named entity" precordial "can be identified; and obtaining a plurality of groups of named entities until the text to be recognized is recognized.
In some embodiments, the named entity identifying method further includes: and storing the plurality of groups of named entities into a result cache module.
Specifically, until the text to be recognized is recognized, a plurality of sets of named entities are obtained, and the named entity list stored in the final result cache module is the final recognition result.
In some embodiments, the length of the first text in the named entity recognition method is smaller than the length of the text to be recognized;
the length of the first text is greater than or equal to the length of the second text.
Specifically, in the embodiment of the present application, the text to be recognized is cut into a plurality of texts, so that the length of the first text is smaller than that of the text to be recognized, the first text and the second text are both determined by the window building module and the window sliding module, when the first text and the second text are both in the front section of the text to be recognized, the length of the first text is equal to that of the second text, and when the first text and the second text are close to the end, the length of the first text may be greater than or equal to that of the second text.
In some embodiments, in the named entity identification method above:
the first group of named entities obtained by identifying the named entities in the first text and the second group of named entities obtained by identifying the named entities in the second text are both identified through an entity identification module.
Specifically, it should be understood that the first text, the second text and the third text mentioned above obtained through the window building module and the window sliding module are all recognized through the entity recognition module to obtain the named entity.
In some embodiments, in the named entity identification method above: the length of the first window is equal to the maximum recognizable text length of the entity recognition module.
It should be appreciated that determining the length of the first window by the maximum recognizable length of the entity identification module improves named entity identification efficiency.
Fig. 4 is a diagram of a named entity recognition apparatus according to an embodiment of the present invention;
in a second aspect, an embodiment of the present invention provides a named entity identifying device, including:
the acquisition module 401: the method comprises the steps of obtaining a text to be identified;
specifically, the text to be recognized in this embodiment may be any natural text, and the obtaining module 401 obtains the text to be recognized, for example: the patient is sent to the local hospital immediately and diagnosed as acute myocardial infarction and rescued immediately due to sudden precordial severe pain accompanied by chest distress and palpitation.
The input-output module 402: the text input window building module is used for building a first window for outputting a first text;
specifically, in the embodiment of the present application, the length of the first window constructed by the window construction module is 13, and the input/output module 402 sends "the patient feels severe pain in precordial area due to sudden sensation, accompanied by chest distress and palpitation, immediately to the local hospital, diagnoses the patient as acute myocardial infarction, and immediately rescues" and outputs the first text as "the patient feels severe pain in precordial area due to sudden sensation, accompanied by chest".
The first identification module 403: the first text is used for identifying named entities in the first text to obtain a first group of named entities;
specifically, in the embodiment of the present application, taking the first text "the patient feels severe pain in the precordial region due to a sudden sensation, accompanied by chest" as an example, the first identification module 403 identifies that the named entity in the first text "the patient feels severe pain in the precordial region due to a sudden sensation, accompanied by chest" is "precordial region".
The input module 404: the window sliding module is used for inputting the last named entity in the first group of named entities; the position of the last named entity plus one is used as the initial position of the next window sliding module and is input into the window building module;
specifically, in the embodiment of the present application, taking the last named entity "precordial" as an example, a "play" behind the precordial region is started as a starting position of a next window, and the input module 404 inputs the window construction module.
The output module 405: the window construction module is used for constructing a second window from the position of the last named entity plus one and outputting a second text;
specifically, in the embodiment of the present application, the second window output module 405 is configured to output the second text from "drama" to obtain "severe pain, chest distress, palpitation, and immediate sending".
The second identification module 406: for identifying the named entities in the second text results in a second set of named entities.
Specifically, in the embodiment of the present application, the second identification module 406 identifies named entities "severe pain, chest distress, palpitation, and immediate sending" as "chest distress" and "palpitation". The overlap is "severe pain with chest" which both preserves context and prevents the named entity "chest distress" from being cut off.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a processor and a memory;
the processor is operable to execute a named entity recognition method as described in any one of the above by calling a program or instructions stored in the memory.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a program or instructions, and the program or instructions cause a computer to execute a named entity identification method as described in any one of the above.
Fig. 5 is a schematic block diagram of an electronic device provided by an embodiment of the present disclosure.
As shown in fig. 5, the electronic apparatus includes: at least one processor 501, at least one memory 502, and at least one communication interface 503. The various components in the electronic device are coupled together by a bus system 504. A communication interface 503 for information transmission with an external device. It is understood that the bus system 504 is used to enable communications among the components. The bus system 504 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, the various buses are labeled as bus system 504 in fig. 5.
It will be appreciated that the memory 502 in this embodiment can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
In some embodiments, memory 502 stores elements, executable units or data structures, or a subset thereof, or an expanded set thereof as follows: an operating system and an application program.
The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application programs, including various application programs such as a Media Player (Media Player), a Browser (Browser), etc., are used to implement various application services. A program for implementing any one of the named entity recognition methods provided by the embodiments of the present application may be included in an application program.
In this embodiment of the present application, the processor 501 is configured to execute the steps of the embodiments of the named entity identifying method provided in this application by calling a program or an instruction stored in the memory 502, which may be specifically a program or an instruction stored in an application program.
Acquiring a text to be identified;
constructing a first window by a text input window construction module to be recognized and outputting a first text;
identifying named entities in the first text to obtain a first group of named entities;
inputting the last named entity in the first group of named entities into a window sliding module, and inputting the position of the last named entity plus one into a window building module as the initial position of the next window sliding module;
the window construction module constructs a second window from the position of the last named entity plus one and outputs a second text;
identifying named entities in the second text to obtain a second group of named entities;
any one of the named entity identification methods provided by the embodiments of the present application may be applied to the processor 501, or implemented by the processor 501. The processor 501 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 501. The Processor 501 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of any one of the methods for identifying the named entity provided by the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software units in the hardware decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 502, and the processor 501 reads the information in the memory 502 and performs the steps of a named entity recognition method in combination with its hardware.
Those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments.
Those skilled in the art will appreciate that the description of each embodiment has a respective emphasis, and reference may be made to the related description of other embodiments for those parts of an embodiment that are not described in detail.
Although the embodiments of the present application have been described in conjunction with the accompanying drawings, those skilled in the art will be able to make various modifications and variations without departing from the spirit and scope of the application, and such modifications and variations are included in the specific embodiments of the present invention as defined in the appended claims, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of various equivalent modifications and substitutions within the technical scope of the present disclosure, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A named entity recognition method is applied to the following steps: in a system comprising a window building module and a window sliding module, the following:
acquiring a text to be identified;
constructing a first window by the text input window construction module to be recognized and outputting a first text;
identifying named entities in the first text to obtain a first group of named entities;
inputting a last named entity in the first set of named entities into a window sliding module; taking the position of the last named entity plus one as the initial position of the next window sliding module, and inputting the initial position into the window building module;
the window construction module constructs a second window from the position of the last named entity plus one and outputs a second text;
and identifying the named entities in the second text to obtain a second group of named entities.
2. The named entity recognition method of claim 1, wherein the method further comprises:
inputting a last named entity in the second set of named entities into a window sliding module;
the last named entity plus one position is used as the starting position of a next window sliding module and is input into the window building module, and the window building module builds a third window from the last named entity plus one position and outputs a third text;
identifying named entities in the third text to obtain a third group of named entities;
and obtaining a plurality of groups of named entities until the text to be recognized is recognized.
3. The named entity recognition method of claim 1, wherein the method further comprises:
if the named entity number in the first text is identified to be 0;
taking the middle position of the first text as the starting position of the next window sliding module, inputting the starting position into the window building module, and building a second window from the middle position of the first text by the window building module to output a second text;
and identifying the named entities in the second text to obtain a second group of named entities.
4. The named entity recognition method of claim 2, wherein the method further comprises: and storing the multiple groups of named entities into a result cache module.
5. The named entity recognition method of claim 1,
the length of the first text is smaller than that of the text to be recognized;
the length of the first text is greater than or equal to the length of the second text.
6. The named entity recognition method of claim 1,
and identifying the named entities in the first text to obtain a first group of entities and identifying the named entities in the second text to obtain a second group of named entities through an entity identification module.
7. The named entity recognition method of claim 1, wherein the length of the first window is equal to the maximum recognizable text length of the entity recognition module.
8. A named entity recognition apparatus, comprising:
an acquisition module: the method comprises the steps of obtaining a text to be identified;
an input-output module: the text input window building module is used for building a first window for outputting a first text;
a first identification module: the first text is used for identifying named entities in the first text to obtain a first group of named entities;
an input module: means for entering a last entity in the first set of named entities into a window sliding module; the position of the last entity plus one is used as the initial position of the next window sliding module and is input into the window construction module
An output module: the window construction module is used for constructing a second window from the position of the last named entity plus one and outputting a second text;
a second identification module: for identifying the named entities in the second text to obtain a second set of named entities.
9. An electronic device, comprising: a processor and a memory;
the processor is configured to execute the named entity recognition method of any one of claims 1 to 7 by calling a program or instructions stored in the memory.
10. A computer-readable storage medium, characterized in that it stores a program or instructions for causing a computer to execute a named entity recognition method according to any one of claims 1 to 7.
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