CN112417140A - Grammar configuration method, grammar matching device and computer equipment - Google Patents
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Abstract
The application provides a grammar configuration method, a grammar matching device and computer equipment, wherein the grammar configuration method comprises the following steps: by displaying the grammar configuration interface, responding to the dragging operation, determining a plurality of target nodes from a plurality of candidate grammar nodes, determining the node sequence among the plurality of target nodes, and generating the grammars in the grammar list based on the plurality of target nodes arranged in the node sequence. Therefore, the grammar nodes can be configured on the grammar configuration interface according to the requirements of the user so as to generate the grammar meeting the requirements of the user, and the grammar configuration mode is not only convenient, but also meets the personalized configuration requirements of the user.
Description
Technical Field
The present application relates to the field of natural language processing technology in the field of artificial intelligence, and in particular, to a grammar configuration method and apparatus, a grammar matching method and apparatus, a computer device, and a non-transitory computer-readable storage medium.
Background
With the rapid development of artificial intelligence, intelligent robots in various application scenarios gradually enter people's lives. Such as a child entertainment robot, an educational robot, etc. In the process of voice interaction with the intelligent robot, the intelligent robot needs to perform semantic analysis on the acquired voice.
The intelligent robot carries out semantic analysis on the acquired voice and comprises several elements, fields, intentions, grammars, word slots and the like. The domain includes a plurality of intentions, and the intentions include a plurality of grammars and word slot information. In order to enable the answer of the robot to achieve the expected effect, the background needs to configure the corresponding domain intention and grammar for the desired effect, but the existing grammar configuration is complex and not flexible enough.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
The grammar configuration method and the grammar matching method are provided by the application, so that the grammar nodes are configured on the grammar configuration interface according to the requirements of users to generate the grammar meeting the requirements of the users.
An embodiment of a first aspect of the present application provides a grammar configuration method, including:
displaying a grammar configuration interface, wherein the grammar configuration interface comprises a plurality of pre-configured candidate grammar nodes;
in response to a drag operation, determining a plurality of target nodes from the plurality of candidate grammar nodes, and determining a node order among the plurality of target nodes;
generating a grammar in a grammar list based on the plurality of target nodes arranged in the node order.
According to the grammar configuration method, by displaying the grammar configuration interface, in response to the dragging operation, a plurality of target nodes are determined from a plurality of candidate grammar nodes, the node sequence among the target nodes is determined, and the grammar in the grammar list is generated based on the target nodes arranged in the node sequence. Therefore, the grammar nodes can be configured on the grammar configuration interface according to the requirements of the user so as to generate the grammar meeting the requirements of the user, and the grammar configuration mode is convenient and fast to operate and meets the personalized configuration requirements of the user.
An embodiment of a second aspect of the present application provides a grammar matching method, including:
acquiring grammars in a grammar list; the grammars in the grammar list are configured according to the grammar configuration method;
after the target corpus is obtained, matching the target corpus with each grammar in the grammar list to obtain the semantics of the target corpus.
According to the grammar matching method, the grammars in the grammar list are obtained, and after the target linguistic data are obtained, the target linguistic data are matched with the grammars in the grammar list, so that the semantics of the target linguistic data are obtained. Therefore, when the grammar is matched in semantic analysis, the grammar matched with the target corpus is determined according to the preset grammar list, and the accuracy of grammar matching is improved.
An embodiment of a third aspect of the present application provides a grammar configuration apparatus, including:
the grammar configuration interface comprises a display module, a grammar configuration module and a grammar configuration module, wherein the grammar configuration interface comprises a plurality of pre-configured candidate grammar nodes;
a response module for determining a plurality of target nodes from the plurality of candidate grammar nodes in response to the drag operation, and determining a node order among the plurality of target nodes;
a generating module, configured to generate grammars in a grammar list based on the plurality of target nodes arranged in the node order.
An embodiment of a fourth aspect of the present application provides a grammar matching apparatus, including:
the acquisition module is used for acquiring grammars in the grammar list; wherein the grammars in the grammar list are configured according to the grammar configuration method of the embodiment of the first aspect;
and the matching module is used for matching the target corpus with each grammar in the grammar list after the target corpus is obtained so as to obtain the semantics of the target corpus.
An embodiment of a fifth aspect of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the program to implement the grammar configuration method according to the embodiment of the first aspect or to implement the grammar matching method according to the embodiment of the second aspect.
An embodiment of a sixth aspect of the present application proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the grammar configuration method of the embodiment of the first aspect described above, or implements the grammar matching method of the embodiment of the second aspect described above.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a grammar configuration method according to an embodiment of the present application;
FIG. 2 is an exemplary diagram of a grammar list provided by an embodiment of the present application;
fig. 3 is a schematic flow chart of another grammar configuration method provided in an embodiment of the present application;
fig. 4 is a schematic flowchart of another grammar configuration method provided in an embodiment of the present application;
fig. 5 is an exemplary diagram of a configuration resource package according to an embodiment of the present application;
fig. 6 is a schematic flowchart of a grammar matching method according to an embodiment of the present application;
FIG. 7 is a schematic diagram of a grammar configuration apparatus according to an embodiment of the present application; and
fig. 8 is a schematic structural diagram of a grammar matching apparatus according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
A grammar configuration method and apparatus, a grammar matching method and apparatus, a computer device, and a non-transitory computer-readable storage medium of the embodiments of the present application are described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a grammar configuration method according to an embodiment of the present application.
As shown in fig. 1, the grammar configuration method includes the following steps:
According to the method and the device, a plurality of candidate grammar nodes can be configured in advance in the grammar configuration interface according to the requirements of service scenes.
In a possible case, each candidate grammar node is configured with a feature word, wherein the feature word may include at least one of the following: any character used for placeholders; characterizing characters that match within a specified range; wherein the specified range is determined according to the word category and/or the semantics; characters to be matched accurately; default characters may be used.
Any character used for placeholder can be any character at this position, and is not limited to the kind of character. The characters matched in the designated range refer to characters in the designated range determined according to the word category and/or the semantics, and the characters included in the designated range can be configured in advance, and during matching, only any character in the designated range is included in the target corpus. For example, assuming that the specified range is a pronoun, characters that match within the specified range may include "you", "i", "he", "you", "we", "they", and so on. For another example, assuming that the specified range is an imperative verb, characters that match within the specified range can include "please," "let," "must," "don't care," and so forth. The character needing to be matched accurately means that the character at the position needs to be matched with the target language material accurately. Default characters, meaning that the character at that location may be null.
It should be noted that the feature word of each candidate grammar node may also be configured with a repetition upper limit, where the repetition upper limit is used to characterize the maximum repetition of the feature word in the grammar.
For example, assuming that the upper limit of the number of repetitions of the feature word a is 3, the maximum number of repetitions of the feature word a in the grammar is 3. That is, the feature word a can appear 3 times at most in the grammar.
In the application, each candidate grammar node may further be configured with a word slot for performing semantic parsing, so as to perform slot completion during semantic parsing.
For example, assuming a grammar configuration method for a dance robot, a plurality of candidate grammar nodes configured with word slots for semantic parsing may be exemplified as follows:
[ Arbitrary characters ] [ Prime verbs ] [ dancing for personal dance ].
Where [ any word ] may be any character used for placeholder, and [ imperative verb ] may be a matching character in imperative verb, where imperative verb may be a word representing a command tone, e.g., certain, not required, etc. For example, a candidate grammar may be "you must dance with one another".
In the embodiment of the application, during grammar configuration, a grammar configuration interface can be displayed in response to the operation of an operator, so that grammar configuration can be performed according to the selection of the operator on a plurality of candidate grammar nodes.
As one possible implementation, a plurality of intentions included in the selected domain may be presented in response to a domain selection operation. And further responding to the intention selection operation, and displaying a grammar configuration interface corresponding to the selected intention.
In the method and the system, an operator can drag a plurality of pre-configured candidate grammar nodes on a grammar configuration interface according to business requirements, and then, in response to the dragging operation of the operator, a plurality of target nodes are determined from the candidate grammar nodes, and the node sequence among the target nodes is determined.
As an example, as shown in fig. 2, the operator may perform a dragging operation on a plurality of candidate grammar nodes included in the grammar configuration interface, for example, assuming that the candidate grammar nodes are nodes in each rectangular box in fig. 2, and after the dragging operation, a target node determined from the plurality of candidate grammar nodes is as shown in a rectangular box 1 in fig. 2.
Also for example, a drag operation may be performed on the plurality of target grammar nodes of fig. 2 to determine a node order between the plurality of target nodes.
Furthermore, in the grammar configuration process, the candidate grammar nodes can be arbitrarily dragged to adjust the position relation among the candidate grammar nodes in the grammar.
Furthermore, after the grammar is generated, the grammar can be edited again according to the business requirement. For example, the candidate grammar nodes in the grammar are dragged to adjust the position relationship between the candidate grammar nodes in the grammar. As another example, a new candidate grammar node is added at any position of the grammar. For another example, deleting the existing candidate grammar nodes at any position from the grammar; and so on.
Compared with the technical problem that the generalization effect is poor when the grammar configuration is caused by the fact that the positions of the grammar nodes cannot be adjusted after the positions of the grammar nodes in the grammar are determined in the prior art, the positions of the target nodes can be adjusted in response to the dragging operation of an operator after the target nodes are determined from the candidate grammar nodes in the application, and different business requirements can be met.
The grammar list is a list containing a plurality of configured grammars.
In the embodiment of the application, after the node sequence between a plurality of target nodes and a plurality of target nodes is determined from a plurality of candidate grammar nodes, grammars in a grammar list are generated based on the plurality of target nodes arranged in the node sequence.
As a possible implementation manner, after determining node sequences between a plurality of target nodes and a plurality of target nodes from a plurality of candidate grammar nodes, feature words associated with the plurality of target nodes may be arranged in the node sequences to obtain feature word sequences, and then, the feature word sequences are determined as grammars in a grammar list.
Continuing with the example in fig. 2 as an example, after determining the target nodes and the node order among the target nodes in the rectangular frame 1 in fig. 2, the grammars in the grammar list may be generated based on the plurality of target nodes arranged in the node order as follows:
[ title word ] [ photo _ prefix ] [ dancing _ short verb ] [ stop word _ a ] [ photo _ suffix ]
According to the grammar configuration method, by displaying the grammar configuration interface, in response to the dragging operation, a plurality of target nodes are determined from a plurality of candidate grammar nodes, the node sequence among the target nodes is determined, and the grammar in the grammar list is generated based on the target nodes arranged in the node sequence. Therefore, the grammar nodes can be configured on the grammar configuration interface according to the requirements of the user so as to generate the grammar meeting the requirements of the user, and the grammar configuration mode is convenient and fast to operate and meets the personalized configuration requirements of the user.
On the basis of the above embodiment, after the grammars in the grammar list are generated in the above step 103, the grammars in the grammar list may be sorted to configure the priority of each grammar. Referring to fig. 3 for details, fig. 3 is a schematic flow chart of another grammar configuration method according to an embodiment of the present application.
As shown in fig. 3, the grammar configuration method may further include the following steps:
In step 202, in response to the dragging operation, a plurality of target nodes are determined from the plurality of candidate grammar nodes, and a node order among the plurality of target nodes is determined.
In the embodiment of the present application, the implementation process of the step 201 to the step 203 may refer to the implementation process of the step 101 to the step 103 in the embodiment, and details are not described herein again.
In step 204, in response to the drag operation performed on the grammars in the grammar list, the ordering of the grammars in the grammar list is determined.
As a possible implementation manner, the operator may adjust the ordering of the grammars in the grammar list through a dragging operation, so as to determine the ordering of the grammars in the grammar list in response to the dragging operation performed by the operator on the grammars in the grammar list.
Continuing with the example in fig. 2 as an example, the operator may perform a dragging operation on the grammars in the grammar list, and assuming that the dragging operation is performed on the grammar with the serial number of 4 in the grammar list in fig. 2, drag the grammar with the serial number of 4 above the grammar with the serial number of 1, and in response to the dragging operation on the grammar with the serial number of 4, may obtain the order of the grammars in the dragged grammar list.
As another possible implementation manner, the operator may perform a deletion operation on each grammar in the grammar list, and after the operator deletes a grammar in the grammar list, in response to the deletion operation performed on the grammars in the grammar list, the order of each grammar in the grammar list after the deletion may be obtained.
Continuing with the example in fig. 2 as an example, the operator may perform a deletion operation on the grammar with the sequence number of 4 in the grammar list in fig. 2, and further obtain the order of each grammar in the deleted grammar list.
The target corpus refers to text information for semantic analysis.
It should be noted that the priority of each grammar in the grammar list is named as the first priority in order to distinguish the priority from subsequent intentions and/or domains, and other naming manners may be adopted, which is not limited herein.
In the embodiment of the application, after the ordering of the grammars in the grammar list is determined, the first priority of each grammar in the grammar list can be configured according to the ordering of each grammar in the grammar list.
Optionally, the first priority of each grammar in the grammar list may be configured according to the sequence of the order of each grammar in the grammar list. For example, the first ranked grammar in the grammar list may be configured as a high priority and the last ranked grammar in the grammar list may be configured as a low priority.
Continuing with the example in fig. 2 as an example, assuming that the grammars in the obtained grammar list are respectively ranked as the grammar with the sequence number 1, the grammar with the sequence number 4, and the grammar with the sequence number 3, the grammar with the sequence number 1 may be configured as a high priority, the grammar with the sequence number 4 may be configured as a medium priority, and the grammar with the sequence number 3 may be configured as a low priority according to the ranking of the grammars in the grammar list.
In the embodiment of the application, after the first priority of each grammar in the grammar list is configured, the candidate grammars matched with the target corpus can be determined from the grammar list according to the first priority of each grammar in the grammar list.
For example, after a plurality of candidate grammars matching the target corpus are determined from the grammar list according to the first priority of each grammar in the grammar list, the candidate grammar with the highest first priority may be used as the grammar matching the target corpus according to the first priorities of the candidate grammars.
In the application, after the first priority of each grammar in the grammar list is configured, the configured result can be tested, so as to determine whether to adjust the configured result according to the test result.
In a possible case, the semantics of the target corpus obtained by matching the target corpus with the grammars in the grammar list may not match the semantics expected by the user, and in this case, the ordering of the target grammars in the grammar list may be adjusted to update the first priority of the target grammars, or the target grammars may be edited to modify the information of the target grammars. Therefore, the accuracy of grammar matching is improved beneficially by individually adjusting the priority and/or the information of the target grammar.
In the application, after the target grammar matched with the target corpus is determined from the grammar list according to the first priority of each grammar in the grammar list, the target grammar obtained by matching may not be in accordance with the expected grammar, and in this case, the grammar identifier corresponding to the target grammar may be displayed. The grammar identifier may be used to uniquely represent the target grammar, and may be, for example, letters, numbers, a combination of letters and numbers, and the like.
In a possible implementation manner of the embodiment of the application, after displaying the grammar identifier corresponding to the target grammar, the operator may query the target grammar in the grammar list according to the grammar identifier, further perform a dragging operation on the target grammar corresponding to the grammar identifier in the grammar list, so as to adjust the ordering of the target grammar in the grammar list in response to the dragging operation performed on the target grammar corresponding to the grammar identifier, and further reconfigure the first priority of each grammar in the grammar list according to the adjusted ordering, so as to update the first priority of the target grammar.
Taking the example in fig. 2 as an example, it is assumed that the target grammar matching the target corpus determined from the grammar list according to the first priority is the grammar with sequence number 1, however, the grammar with sequence number 1 does not conform to the expectation, and the grammar with sequence number 4 is the expected target grammar. In this case, the grammar with the number 1 can be dragged to the end of the grammar with the number 4 by performing the dragging operation on the grammar with the number 1, and the first priority of each grammar in the grammar list can be updated according to the adjusted order. After updating the first priority of each grammar, the priority of the grammar with the sequence number 4 is higher than that of the grammar with the sequence number 1.
In another possible implementation manner of the embodiment of the application, after the grammar identifier corresponding to the target grammar is displayed, the operator may further query the target grammar in the grammar list according to the grammar identifier, and further perform a dragging operation on each grammar node in the target grammar, so as to adjust the position of each node in the target grammar in response to the dragging operation performed on each grammar node in the target grammar, so that the adjusted target grammar conforms to the expected target grammar.
As an example, the target grammar matching the target corpus determined from the grammar list is a grammar with a sequence number of 1, but the grammar with the sequence number of 1 does not conform to the expectation, and a drag operation may be performed on the grammar node with the sequence number of 1 to edit the target grammar in response to the drag operation performed on each grammar node in the grammar with the sequence number of 1 so that the edited target grammar conforms to the expected target grammar.
In yet another possible implementation manner of the embodiment of the present application, after displaying the grammar identifier corresponding to the target grammar, the operator may query the target grammar in the grammar list according to the grammar identifier, further, may perform a dragging operation on the target grammar corresponding to the grammar identifier in the grammar list, update the first priority of the target grammar by adjusting the ranking of the target grammars, and perform a dragging operation on each grammar node in the target grammar to edit the target grammar. Therefore, the target grammar is edited while the first priority of the target grammar is updated by performing the dragging operation on the sequencing of the target grammar and each grammar node in the target grammar, so that the adjusted target grammar is more consistent with an expected result.
In the related art, at least two grammars may be matched in the same document at the same time during grammar configuration, so that grammar competition or conflict exists during grammar matching, and the condition is called grammar competition or grammar conflict. In order to solve the problem of grammar competition or grammar conflict, the conventional grammar configuration method is to determine a target grammar from a plurality of grammars matched simultaneously by presetting a certain rule. However, the existing grammar configuration method is complex and not flexible enough.
According to the grammar configuration method, the ordering of the grammars in the grammar list is determined by responding to the dragging operation executed on the grammars in the grammar list; and configuring the first priority of each grammar in the grammar list according to the sorting, so as to determine the grammar matched with the target corpus from the grammar list according to the first priority of each grammar. Therefore, when the grammar is configured, after the candidate grammar matched with the target corpus is determined according to the priority of each grammar in the grammar list, only the candidate grammar with the highest priority is determined as the grammar matched with the target corpus, so that the situation of grammar competition or grammar conflict caused by the fact that at least two grammars are matched at the same time is avoided.
In one possible case of the present application, the number of the grammar lists may be multiple, each grammar list may be attributed to a different intention, for example, the intention to which grammar list a is attributed may be shopping, each text list may also be attributed to a different field, for example, the field to which grammar list B is attributed may be education, each text may also be attributed to a different intention and field at the same time, for example, the intention to which text list C is attributed may be buying tickets, and the field of attribution may be travel. In this case, the second priority of the intention and/or the field can be configured to the grammar in the grammar list by an editing operation on the intention and/or the field. The above process is described in detail with reference to fig. 4, and fig. 4 is a schematic flow chart of another grammar configuration method provided in the embodiment of the present application.
As shown in fig. 4, the grammar configuration method may further include the following steps:
in step 301, a second priority of the intent and/or domain is configured in response to an editing operation on the intent and/or domain.
And the second priority is used for determining the grammar matched with the target corpus from the candidate grammars in each grammar list.
In one possible scenario, when the number of the grammar lists is multiple and each grammar list belongs to the corresponding intention, the second priority of the intention may be configured in response to an editing operation of the operator on the intention corresponding to the grammar list.
In another possible scenario, when the number of the grammar lists is multiple and each grammar list belongs to a corresponding domain, the second priority of the domain may be configured in response to an editing operation of an operator on the domain corresponding to the grammar list.
In yet another possible scenario, when the number of the grammar lists is multiple and each grammar list belongs to the corresponding intention and domain, the second priority corresponding to each intention and domain may be configured in response to an editing operation of the operator on the intention and domain corresponding to the grammar list.
It should be explained that the intelligent robot suitable for different scenes needs to configure different intentions and/or fields, for example, a learning type intelligent robot, an entertainment type intelligent robot, etc. Therefore, it is necessary to configure a second priority of the intention and/or the domain according to the usage scenario of the robot.
In the application, the operator may edit the intention and/or the field, and may further configure a second priority of the intention and/or the field in response to an editing operation on the intention and/or the field, so that when grammar matching is performed, a grammar having a highest second priority and matching the target corpus is determined from candidate grammars in each grammar list according to the second priority of the intention and/or the field. It is to be understood that, when matching the semantic-resolved grammar, after determining a plurality of candidate grammars matching the target corpus from the grammar list according to the first priority of each grammar in the grammar list, further, according to the second priority of the configuration intention and/or the domain, determining the grammar with the highest second priority as the target grammar matching the target corpus from the candidate grammars in each grammar list.
For the convenience of partitioning, an operation of configuring the applicable device range of the resource package is named as a first configuration operation, and a configuration operation of specifying the intention and/or the domain for the resource package is named as a second configuration operation. Other nomenclature may of course be used and is not limited in this application.
In the embodiment of the present application, before configuring the applicable device range of the resource package, the intention and/or the domain may be specified in advance for the resource package. Specifically, in response to the second configuration operation, the intention and/or the domain are/is specified for the resource package, so that the grammar list corresponding to the specified intention and/or domain is determined as the grammar list associated with the resource package.
In the embodiment of the application, after the grammar list associated with the resource package is determined, the applicable device range of the resource package can be configured according to the specified intention associated with the resource package and/or the grammar list corresponding to the specified field in response to the first configuration operation.
In the embodiment of the present application, after determining the applicable device range of the resource packet, further, configuring the resource packet for each device within the range of the used device.
As an example, as shown in fig. 5, a grammar list specified by the intentions and/or domains associated with the resource package 1 and the resource package 2 may be obtained, and as shown in fig. 5, a number "+ 8" corresponding to the resource package 2 indicates that the number of grammar lists specified by the intentions and/or domains associated with the resource package 2 is 8. In fig. 5, a grammar list corresponding to a designated intention and/or domain may also be added to the newly added resource package by "newly adding a resource". In response to the first configuration operation of the operator, the applicable device scope of the resource package 1 and the resource package 2 is configured, as shown in fig. 5, a grammar list corresponding to the associated intention and/or domain of the resource package 2 is configured for each device within the applicable device scope.
According to the grammar configuration method, the second priority of the intention and/or the field is configured in response to the editing operation of the intention and/or the field, and the applicable equipment range of the resource package is configured in response to the first configuration operation; the resource package is associated with the designated intention and/or the grammar list corresponding to the designated field, and the resource package is configured for each device in the range of the applicable devices. Therefore, the resource package is configured based on the actual scene requirement, and the resource package is associated with the appointed intention and/or the grammar list corresponding to the appointed field, so that the individual configuration of each device is realized, the same resource package can be suitable for different devices, and the resource utilization rate is improved.
In practical application, the grammar in the grammar list generated by the grammar configuration method may be matched with the target corpus to obtain the semantics of the target corpus. The above process is described in detail with reference to fig. 6, and fig. 6 is a schematic flow chart of a grammar matching method according to an embodiment of the present application.
As shown in fig. 6, the grammar matching method may include the following steps:
In the embodiment of the present application, the grammars in the grammar list are configured according to the grammar configuration method in the above embodiment, and the specific configuration process is not described herein again.
As a possible implementation manner, the resource package corresponding to the device may be obtained, and the grammar list may be obtained from the resource package because the resource package is associated with the specified intention and/or the grammar list corresponding to the specified domain. The device may be a device for acquiring the target corpus, such as a robot.
The target speech material may be text information directly input by the user, or text information obtained by performing speech recognition processing on speech information input by the user in a speech manner.
In the embodiment of the application, after the target corpus is obtained, the target corpus may be matched with each grammar in the obtained grammar list, so that the grammar with the highest matching degree in the grammar list is determined as the target grammar of the target corpus, and the semantics of the target corpus is determined based on the target grammar.
As a possible scenario, the grammars in the grammar list are configured with a first priority, wherein the first priority is used for determining candidate grammars matching the target corpus from the grammar list. And determining candidate grammars matched with the target corpus from the grammar list according to the first priority. The candidate grammar is the grammar with the highest first priority in the grammars matched with the target corpus in the corresponding grammar list. And further, determining a target grammar matched with the target language material according to the candidate grammars. Therefore, the grammar matched with the target corpus is determined according to the priority of each grammar in the grammar list, and the problem of grammar competition or grammar conflict during grammar matching is avoided.
As a possible case of the embodiment of the present application, the obtained grammar list may be multiple, and each grammar list has a corresponding intention and/or field, and the intention and/or field is configured with the second priority. In this case, when matching the target corpus with each grammar in the grammar lists, the grammar in each grammar list may be first matched with the target corpus to obtain a plurality of candidate grammars with the highest first priority in the grammars matched with the target corpus in each grammar list, and further, the candidate grammar in the grammar list corresponding to the intention and/or the domain with the highest second priority from the candidate grammars in each grammar list may be determined as the grammar matched with the target corpus.
Illustratively, when the target corpus is matched with each grammar in the grammar lists, a parallel matching mode is adopted, that is, the target corpus is matched with each grammar list at the same time.
According to the grammar matching method, the grammars in the grammar list are obtained, and after the target linguistic data are obtained, the target linguistic data are matched with the grammars in the grammar list, so that the semantics of the target linguistic data are obtained. Therefore, when the grammar is matched in semantic analysis, the grammar matched with the target corpus is determined according to the preset grammar list, and the accuracy of grammar matching is improved.
In order to implement the above embodiments, the present application proposes a grammar configuration apparatus.
Fig. 7 is a schematic structural diagram of a grammar configuration apparatus according to an embodiment of the present application.
As shown in fig. 7, the grammar configuration apparatus 700 may include: a presentation module 710, a response module 720, and a generation module 730.
The presentation module 710 is configured to present a grammar configuration interface, where the grammar configuration interface includes a plurality of preconfigured candidate grammar nodes.
A response module 720, configured to determine a plurality of target nodes from the plurality of candidate grammar nodes in response to the dragging operation, and determine a node order among the plurality of target nodes.
A generating module 730, configured to generate a grammar in the grammar list based on the plurality of target nodes arranged in the node order.
As a possible scenario, the grammar configuration apparatus 700 may further include:
the first determining module is used for responding to the dragging operation executed on the grammars in the grammar list and determining the sequencing of the grammars in the grammar list;
the first configuration module is used for configuring the first priority of each grammar in the grammar list according to the sorting; the first priority is used for determining candidate grammars matched with the target corpus from the grammar list.
As another possible case, the number of grammar lists is multiple, each grammar list belonging to a corresponding intention and/or domain; the grammar configuration apparatus 700 may further include:
a second configuration module for configuring a second priority of the intent and/or domain in response to an editing operation on the intent and/or domain; wherein the second priority is used to determine the target grammar with the highest second priority from the candidate grammars of each grammar list.
As another possible scenario, the grammar configuration apparatus 700 may further include:
a third configuration module, configured to configure an applicable device range of the resource package in response to the first configuration operation; the resource package is associated with a specified intention and/or a grammar list corresponding to a specified field;
and the fourth configuration module is used for configuring the resource packet for each device in the applicable device range.
As another possible scenario, the grammar configuration apparatus 700 may further include:
a designation module to designate an intent and/or domain for the resource package in response to the second configuration operation;
and the second determining module is used for determining the grammar list corresponding to the specified intention and/or domain as the grammar list associated with the resource package.
As another possible case, each candidate grammar node is configured with a feature word;
wherein the feature words comprise at least one of the following:
any character used for placeholders;
characterizing characters that match within a specified range; wherein the specified range is determined according to a word category and/or semantics;
characters to be matched accurately;
default characters may be used.
As another possible scenario, the generating module is further configured to:
arranging the feature words associated with the target nodes in a node sequence to obtain a feature word sequence; and determining the characteristic word sequence as the grammar in the grammar list.
As another possible scenario, each candidate grammar node is also configured with a word slot for semantic parsing.
As another possible case, the feature word is configured with an upper limit of the number of repetitions;
wherein the upper repetition number limit is used for representing the maximum repetition number of the characteristic words in the grammar.
As another possible scenario, the presentation module 710 is further configured to:
presenting a plurality of intentions contained in the selected domain in response to a domain selection operation; and responding to the intention selection operation, and displaying a grammar configuration interface corresponding to the selected intention.
It should be noted that the foregoing explanation of the embodiment of the grammar configuration method for semantic parsing is also applicable to the grammar configuration apparatus for semantic parsing of the embodiment, and is not repeated here.
The grammar configuration device of the embodiment of the application responds to the dragging operation by displaying the grammar configuration interface, determines a plurality of target nodes from a plurality of candidate grammar nodes, determines the node sequence among the plurality of target nodes, and generates the grammar in the grammar list based on the plurality of target nodes arranged in the node sequence. Therefore, the grammar nodes can be configured on the grammar configuration interface according to the requirements of the user so as to generate the grammar meeting the requirements of the user, and the grammar configuration mode is not only convenient, but also meets the personalized configuration requirements of the user.
In order to implement the above embodiments, the present application provides a grammar matching apparatus.
Fig. 8 is a schematic structural diagram of a grammar matching apparatus for semantic parsing according to an embodiment of the present application.
As shown in fig. 8, the grammar matching apparatus 800 may include: an acquisition module 810 and a matching module 820.
The obtaining module 810 is configured to obtain grammars in a grammar list; and the grammar in the grammar list is configured by the grammar configuration method for semantic analysis.
The matching module 820 is configured to match the target corpus with each grammar in the grammar list after the target corpus is obtained, so as to obtain the semantics of the target corpus.
As a possible scenario, the obtaining module 810 may further be configured to:
acquiring a resource packet corresponding to equipment; the resource package is associated with a specified intention and/or a grammar list corresponding to a specified field; and acquiring a grammar list from the resource package.
As another possible scenario, the grammars in the grammar list are configured with a first priority, and the matching module 820 may further include:
the first determining unit is used for determining candidate grammars matched with the target corpus from the grammar list according to the first priority; the candidate grammar is the grammar with the highest first priority in the grammars matched with the target corpus in the corresponding grammar list;
and the second determining unit is used for determining the target grammar matched with the target corpus according to the candidate grammar.
As another possible case, the grammar list is multiple, each grammar list has a corresponding intention and/or field, and the intention and/or field is configured with a second priority; the second determining unit may be further configured to:
and determining the candidate grammar in the grammar list corresponding to the intention and/or the field with the highest second priority as the target grammar from the candidate grammars in each grammar list.
It should be noted that the foregoing explanation of the embodiment of the grammar matching method is also applicable to the grammar matching apparatus of the embodiment, and is not repeated herein.
According to the grammar matching device in the embodiment of the application, the grammars in the grammar list are obtained, and after the target corpora are obtained, the target corpora are matched with the grammars in the grammar list, so that the semantics of the target corpora are obtained. Therefore, when the grammar is matched in semantic analysis, the grammar matched with the target corpus is determined according to the preset grammar list, and the accuracy of grammar matching is improved.
In order to implement the foregoing embodiments, the present application further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the grammar configuration method described in the foregoing embodiments, or implements the grammar matching method described in the foregoing embodiments.
In order to implement the above embodiments, the present application also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the grammar configuration method as described in the above embodiments, or implements the grammar matching method as described in the above embodiments.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A grammar configuration method is characterized by comprising the following steps:
displaying a grammar configuration interface, wherein the grammar configuration interface comprises a plurality of pre-configured candidate grammar nodes;
in response to a drag operation, determining a plurality of target nodes from the plurality of candidate grammar nodes, and determining a node order among the plurality of target nodes;
generating a grammar in a grammar list based on the plurality of target nodes arranged in the node order.
2. The grammar configuration method of claim 1, wherein after generating the grammar in the grammar list based on the plurality of target nodes arranged in the node order, further comprising:
determining the ordering of each grammar in the grammar list in response to a drag operation performed on the grammars in the grammar list;
configuring a first priority of each grammar in the grammar list according to the sorting; wherein the first priority is used for determining candidate grammars matched with target corpora from the grammar list.
3. The grammar configuration method according to claim 2, wherein the grammar lists are plural in number, each of the grammar lists belonging to a corresponding intention and/or field; the method further comprises the following steps:
configuring a second priority of the intent and/or domain in response to an editing operation on the intent and/or domain; and determining a target grammar matched with the target corpus from the candidate grammars in each grammar list according to the second priority.
4. The grammar configuration method of claim 3, wherein after configuring the second priority of the intent and/or field in response to an editing operation on the intent and/or field, the method further comprises:
in response to the first configuration operation, configuring an applicable device range of the resource package; the resource package is associated with a designated intention and/or a grammar list corresponding to a designated field;
and configuring the resource packet for each device within the range of the applicable device.
5. The grammar configuration method of any one of claims 1-4, wherein each of the candidate grammar nodes is configured with a feature word;
wherein the feature words comprise at least one of the following:
any character used for placeholders;
characterizing characters that match within a specified range; wherein the specified range is determined according to a word category and/or semantics;
characters to be matched accurately;
default characters may be used.
6. A grammar matching method is characterized by comprising the following steps:
acquiring grammars in a grammar list; wherein the grammars in the grammar list are configured to be completed according to the method of any one of claims 1-5;
after the target corpus is obtained, matching the target corpus with each grammar in the grammar list to obtain the semantics of the target corpus.
7. A grammar configuration apparatus, comprising:
the grammar configuration interface comprises a display module, a grammar configuration module and a grammar configuration module, wherein the grammar configuration interface comprises a plurality of pre-configured candidate grammar nodes;
a response module for determining a plurality of target nodes from the plurality of candidate grammar nodes in response to the drag operation, and determining a node order among the plurality of target nodes;
a generating module, configured to generate grammars in a grammar list based on the plurality of target nodes arranged in the node order.
8. A grammar matching apparatus, comprising:
the acquisition module is used for acquiring grammars in the grammar list; wherein the grammars in the grammar list are configured to be completed according to the method of any one of claims 1-5;
and the matching module is used for matching the target corpus with each grammar in the grammar list after the target corpus is obtained so as to obtain the semantics of the target corpus.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a grammar configuration method according to any one of claims 1-5 or a grammar matching method according to claim 6 when executing the program.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the grammar configuration method of any one of claims 1-5 or the grammar matching method of claim 6.
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