CN107678309A - Manipulate clause generation, using control method and device, storage medium - Google Patents

Manipulate clause generation, using control method and device, storage medium Download PDF

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Publication number
CN107678309A
CN107678309A CN201710781250.7A CN201710781250A CN107678309A CN 107678309 A CN107678309 A CN 107678309A CN 201710781250 A CN201710781250 A CN 201710781250A CN 107678309 A CN107678309 A CN 107678309A
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China
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entry
newly
increased
clause
manipulation
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CN201710781250.7A
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CN107678309B (en
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马军涛
王兴宝
李深安
陈志刚
黄鑫
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iFlytek Co Ltd
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iFlytek Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers

Abstract

The disclosure provides a kind of manipulation clause generation method and device, using control method and device, storage medium, electronic equipment.Wherein, manipulation clause generation method includes:Obtain and treat original entry corresponding to the function of manipulation application support, original entry includes original entity and/or original intention;By extension entry corresponding to original entry and original entry, it is defined as newly-increased entry;Can judgement match similar entry corresponding to the newly-increased entry in default clause storehouse;If matching similar entry corresponding to the newly-increased entry, the newly-increased entry is merged into the entry class belonging to the similar entry;The mapping relations between other entry classes in entry class and the default clause storehouse according to belonging to the similar entry, manipulation clause of the generation with the newly-increased entry.Such scheme, manipulation clause can be automatically generated, be favorably improved flexibility, the scalability of manipulation clause generation.

Description

Manipulate clause generation, using control method and device, storage medium
Technical field
This disclosure relates to data processing field, in particular it relates to which a kind of manipulate clause generation method and device, using manipulation Method and device, storage medium, electronic equipment.
Background technology
With the continuous progress of artificial intelligence technology, man-machine interaction also achieves significant progress, and various man-machine interactions are set It is standby also to rise without restraint therewith.For example, human-computer interaction device can be mobile phone, smart home, robot, mobile unit etc..
Generally, when carrying out man-machine interaction, it is necessary to be application supported function in advance structure corresponding to manipulation clause, this Sample, after getting human-machine interaction data, it can first judge whether the human-machine interaction data can match the manipulation sentence built in advance Formula, if can match, then corresponding function is realized by the manipulation clause in matching, control application.For example, should for music For, if the manipulation clause in matching is " being switched to next song ", music application can be controlled by the manipulation clause Carry out song switching.
Such scheme is only applicable to have been built up the application function for manipulating clause, for not yet building answering for manipulation clause With function, for example, emerging function or functional is new in the supported function of emerging application or application Saying etc., because in the absence of the manipulation clause that can be matched, semantic understanding can not be carried out, it is difficult to realize application manipulation.
The content of the invention
It is a general object of the present disclosure to provide one kind manipulation clause generation method and device, using control method and device, Storage medium, electronic equipment, manipulation clause can be automatically generated, be favorably improved the flexibility, expansible of manipulation clause generation Property.
To achieve these goals, in a first aspect, the disclosure provides a kind of manipulation clause generation method, methods described bag Include:
Obtain treat manipulation application support function corresponding to original entry, original entry include original entity and/or Original intention;
By extension entry corresponding to original entry and original entry, it is defined as newly-increased entry;
Can judgement match similar entry corresponding to the newly-increased entry in default clause storehouse;
If matching similar entry corresponding to the newly-increased entry, the newly-increased entry is merged into the similar word In entry class belonging to bar;
The mapping between other entry classes in entry class and the default clause storehouse according to belonging to the similar entry Relation, manipulation clause of the generation with the newly-increased entry.
Alternatively, the mode of extension entry is corresponding to acquisition original entry:
Input using original entry as entry extended model, after entry extended model processing, export institute State extension entry corresponding to original entry.
Alternatively, the mode for building the entry extended model is:
Training human-machine interaction data is obtained, and is every training growth data corresponding to human-machine interaction data marks, The training includes training with manipulation clause and/or training entry with human-machine interaction data;
Determine the topological structure of the entry extended model;
Using the training human-machine interaction data and the topological structure, training obtains the entry extended model, The growth data of the entry extended model output is set to comprise at least the growth data of mark.
Alternatively, it is described entry to be extended corresponding to original entry and original entry, it is defined as new epexegesis Bar, including:
Calculate it is described extension entry and corresponding original entry between the first similarity, and it is described extension entry and its The second similarity between his original entry;
Judge whether first similarity is more than second similarity;
If first similarity is more than second similarity, and first similarity and second similarity Difference be not less than preset difference value, then retain the extension entry;
By original entry and the extension entry retained, it is defined as newly-increased entry.
Alternatively, methods described also includes:
If not matching similar entry corresponding to newly-increased entry, newly-increased entry is created in the default clause storehouse Class, and the newly-increased entry is write into the newly-increased entry class;
The newly-increased entry class is established to the mapping relations of the specified entry class in the default clause storehouse, generation is with described The manipulation clause of newly-increased entry.
Alternatively, the judgement can be matched in default clause storehouse similar entry corresponding to the newly-increased entry it Before, methods described also includes:
Judge whether the occurrence number of the newly-increased entry is less than default frequency value;
If the occurrence number of the newly-increased entry is not less than default frequency value, then perform the judgement can be in default sentence The step of similar entry corresponding to the newly-increased entry is matched in formula storehouse.
Alternatively, entry will be extended corresponding to original entry and original entry described, is defined as increasing newly After entry, methods described also includes:
Clustering processing is carried out to the newly-increased entry, obtains at least one newly-increased entry class;
Then, can the judgement match similar entry corresponding to the newly-increased entry in default clause storehouse, including:Sentence It is disconnected that similar entry class corresponding to the newly-increased entry class can be matched in default clause storehouse.
Second aspect, the disclosure provide one kind and apply control method, for the behaviour using the generation of first aspect methods described Control clause include using manipulation, methods described:
Obtain user and be directed to the human-machine interaction data for treating manipulation application input, the human-machine interaction data is described for controlling Treat that manipulation application performs and specify function;
The human-machine interaction data is identified, obtains text message, and utilize the text message and the manipulation Clause is matched;
If matching manipulation clause corresponding to the text message, by described in the corresponding manipulation clause control Treat that manipulation application performs and specify function.
The third aspect, the disclosure provide a kind of manipulation clause generating means, and described device includes:
Original entry acquisition module, original entry corresponding to the function of manipulation application support is treated for obtaining, it is described original Entry includes original entity and/or original intention;
Newly-increased entry determining module, for entry will to be extended corresponding to original entry and original entry, really It is set to newly-increased entry;
First judge module, for judging that similar word corresponding to the newly-increased entry can be matched in default clause storehouse Bar;
Entry merging module, for when matching similar entry corresponding to the newly-increased entry, by the newly-increased entry It is merged into the entry class belonging to the similar entry;
Clause generation module is manipulated, in the entry class according to belonging to the similar entry and the default clause storehouse Mapping relations between other entry classes, manipulation clause of the generation with the newly-increased entry.
Alternatively, described device also includes:
Entry output module is extended, for the input using original entry as entry extended model, through the entry After extended model processing, extension entry corresponding to original entry is exported.
Alternatively, described device also includes:
Human-machine interaction data labeling module, for obtaining training human-machine interaction data, and it is every man-machine friendship of training Growth data corresponding to mutual data mark, training human-machine interaction data include training and used with manipulation clause and/or training Entry;
Topological structure determining module, for determining the topological structure of the entry extended model;
Model training module, for being obtained using the training human-machine interaction data and the topological structure, training The entry extended model, the growth data of the entry extended model output is set to comprise at least the growth data of mark.
Alternatively, the newly-increased entry determining module, for calculating between the extension entry and corresponding original entry The first similarity, and it is described extension entry and other original entries between the second similarity;Judge that described first is similar Whether degree is more than second similarity;If first similarity is more than second similarity, and described first similar Degree and the difference of second similarity are not less than preset difference value, then retain the extension entry;By original entry and The extension entry of reservation, it is defined as newly-increased entry.
Alternatively, described device also includes:
Entry class creation module, for when not matching similar entry corresponding to newly-increased entry, in the default clause Newly-increased entry class is created in storehouse, and the newly-increased entry is write into the newly-increased entry class;
Mapping relations establish module, for establishing the newly-increased entry class to the specified entry class in the default clause storehouse Mapping relations, manipulation clause of the generation with the newly-increased entry.
Alternatively, described device also includes:
Second judge module, for judging whether the occurrence number of the newly-increased entry is less than default frequency value;
First judge module, for when the occurrence number of the newly-increased entry is not less than default frequency value, judging Similar entry corresponding to the newly-increased entry can be matched in default clause storehouse.
Alternatively, described device also includes:
Clustering processing module, for carrying out clustering processing to the newly-increased entry, obtain at least one newly-increased entry class;
First judge module, for judging to match corresponding to the newly-increased entry class in default clause storehouse Similar entry class.
Fourth aspect, the disclosure provide one kind and apply actuation means, for the behaviour using the generation of third aspect described device Control clause include using manipulation, described device:
Human-machine interaction data acquisition module, the human-machine interaction data for treating that manipulation application inputs, institute are directed to for obtaining user State human-machine interaction data and be used to controlling and described treat that manipulation application performs and specify function;
Clause matching module is manipulated, for the human-machine interaction data to be identified, obtains text message, and utilize institute Text message is stated to be matched with the manipulation clause;
Functional control module, for match corresponding to the text message manipulate clause when, by described corresponding Treat that manipulation application performs described in manipulation clause control and specify function.
5th aspect, the disclosure provide a kind of storage medium, wherein being stored with a plurality of instruction, the instruction is added by processor Carry, perform first aspect methods described the step of.
6th aspect, the disclosure provide a kind of storage medium, wherein being stored with a plurality of instruction, the instruction is added by processor Carry, perform second aspect methods described the step of.
7th aspect, the disclosure provide a kind of electronic equipment, and the electronic equipment includes;
Storage medium described in 5th aspect;And
Processor, for performing the instruction in the storage medium.
Eighth aspect, the disclosure provide a kind of electronic equipment, it is characterised in that the electronic equipment includes;
Storage medium described in 6th aspect;And
Processor, for performing the instruction in the storage medium.
In disclosure scheme, can obtain treat manipulation application support function corresponding to original entry, and with original word Extension entry corresponding to bar, as newly-increased entry, carry out manipulating clause generation.Specifically, can be matched in default clause storehouse Go out the similar entry corresponding with newly-increased entry, and then newly-increased entry is merged into the entry class belonging to similar entry, in this way, The mapping relations that can have according to the entry class belonging to the similar entry, generate new manipulation clause, i.e., with newly-increased entry Manipulation clause.Such scheme, it is possible to achieve manipulate automatically generating for clause, no longer limited by new opplication, New function, new saying It is fixed, flexibility, the scalability of manipulation clause generating process can be improved.
Other feature and advantage of the disclosure will be described in detail in subsequent specific embodiment part.
Brief description of the drawings
Accompanying drawing is for providing further understanding of the disclosure, and a part for constitution instruction, with following tool Body embodiment is used to explain the disclosure together, but does not form the limitation to the disclosure.In the accompanying drawings:
Fig. 1 is the schematic diagram that clause storehouse is preset in disclosure scheme;
Fig. 2 is the schematic flow sheet that disclosure scheme manipulates clause generation method embodiment 1;
Fig. 3 is the schematic flow sheet that newly-increased entry is obtained in disclosure scheme;
Fig. 4 is the schematic flow sheet that disclosure scheme manipulates clause generation method embodiment 2;
Fig. 5 is the schematic flow sheet that entry extended model is built in disclosure scheme;
Fig. 6 is the schematic flow sheet of disclosure scheme application control method;
Fig. 7 is the composition schematic diagram that disclosure scheme manipulates clause generating means;
Fig. 8 is the composition schematic diagram of disclosure scheme application actuation means;
Fig. 9 is the structural representation of disclosure scheme electronic equipment.
Embodiment
The embodiment of the disclosure is described in detail below in conjunction with accompanying drawing.It should be appreciated that this place is retouched The embodiment stated is merely to illustrate and explained the disclosure, is not limited to the disclosure.
Before disclosure scheme is introduced, first the default clause storehouse in disclosure scheme is explained.
Disclosure scheme can be based on default clause storehouse generation manipulation clause, in this way, human-computer interaction device can be to pass through Clause is manipulated, the application run on control device performs corresponding function, for example, manipulation clause is " song for playing Liu De China ", Music application can be controlled to play the song for specifying singer., can be by being intended to form with entity for manipulation clause, its In, " broadcasting " is to be intended to, it can be understood as it is desirable that what function application performs;" Liu Dehua " is entity, it can be understood as The object that function performs, by taking music application as an example, entity can be the name of song, the name of singer, the issuing date of song Deng.
Default clause storehouse in disclosure scheme can be with as shown in figure 1, including at least one intention class, at least one entity Class, and can generate manipulation clause intention class and entity class between establish have mapping relations.Such as Fig. 1 examples cited, can wrap Include:
(1) play and be intended to class, i.e. play in Fig. 1.Such can include at least one intention for representing to play, and e.g., put Once, play, I wants to listen;
(2) suspend and be intended to class, i.e. pause in Fig. 1.Such can include at least one intention for representing pause, e.g., temporarily Stop, suspend, stop play etc.;
(3) the music artist in singer's entity class, i.e. Fig. 1.Such can include at least one expression artist name Entity, e.g., Liu Dehua, schoolmate, Zhou Jielun etc.;
(4) the music song in song entity class, i.e. Fig. 1.Such can include at least one expression song names Entity, e.g., lustily water, kiss goodbye, east wind is broken etc..
It is to be appreciated that the intention class in default clause storehouse can establish mapping relations with multiple entity class, or, entity Class also can establish mapping relations with multiple intention classes, and disclosure scheme can be not specifically limited to this, can combine practical application Depending on situation.For example, (1) can establish mapping relations with (3), and the manipulation sentence of the song of some singer is played for generating Formula, (1) can also establish mapping relations with (4), and the manipulation clause of some song is played for generating.
As a kind of example, the various ways such as syntax rule, the artificial experiences such as the syntax, dictionary can be combined, create manipulation Clause storehouse;Or can be combined with practical application and manipulation clause storehouse is updated, disclosure scheme can not do specific limit to this It is fixed.
The implementation process for manipulating clause generation method to disclosure scheme below is explained.
Referring to Fig. 2, show that disclosure scheme manipulates the schematic flow sheet of clause generation method embodiment 1.It can include Following steps:
S101, obtains original entry corresponding to the function for the treatment of manipulation application support, and original entry includes original entity And/or original intention.
As a kind of example, it can be the application run on human-computer interaction device to treat manipulation application, for example, being run on mobile phone Application, the application that runs on mobile unit etc., disclosure scheme can be not specifically limited to this.
In order to improve the flexibility of disclosure schemes generation manipulation clause, scalability, it can obtain and treat manipulation application branch Entry corresponding to the function of holding, it is contemplated that in order to generate the higher manipulation clause of quality, support more liberalization, more diversified work( Energy saying, subsequently can also carry out entry extension, therefore the entry now obtained can be referred to as into original entry.
Exemplified by treating that manipulation application is music application, collect search song, pause, next, a upper head, song title, song Hand name etc., can be as original entry in disclosure scheme.That is, the original entry obtained can at least be presented as original reality Body and/or original intention.
In actual application, being also possible to for collecting is original manipulation clause, for example, current interface displaying " whether Play the song of Liu De China", corresponding to this, original entry can be extracted from original manipulation clause, carry out subsequent treatment, Disclosure scheme can be not specifically limited to entry extraction process.
In addition, it is necessary to illustrate, original entry in disclosure scheme can be the visible entry of current interface, such as exist When searching song, current interface shows TOP N search result;It can also be the related entry of backstage caching, such as when searching song, remove Remaining search result outside the TOP N that current interface is shown.
In addition, it is necessary to illustrate, original entry in disclosure scheme can treat the function pair that manipulation application is supported All entries answered;Or or treat manipulation application support function corresponding to particial entry, for example, treating manipulation application There is the original entry of identical with other application, if original entry other application generate manipulation clause when, handled Finish, then when manipulation application generates manipulation clause, can be weeded out.
S102, by extension entry corresponding to original entry and original entry, it is defined as newly-increased entry.
Such as introduction made above, in order to generate the higher manipulation clause of quality, more liberalization, more diversified function are supported Saying, entry extension can be carried out on the basis of original entry, obtain extension entry corresponding to each original entry.
For example, original entry is the movie name of a standard, and corresponding extension entry can at least include:Film Official name, the conventional referred to as, translated name in country variant area of user etc..
As a kind of example, disclosure scheme can build entry extending database in advance, and word is carried out based on the database Bar extends., will or in order to more fully carry out entry extension, disclosure scheme can also build entry extended model in advance Input of the original entry as entry extended model, after entry extended model processing, export original entry Corresponding extension entry.On the building process of entry extended model, reference can be made to introduced at FIG. 5 below, herein wouldn't be detailed State.
As a kind of example, after carrying out entry extension for different original entries, obtain identical or approximate Entry is extended, disclosure scheme can also carry out filtration treatment to extension entry, it is ensured that have one between all newly-increased entries Fixed otherness.
Referring to Fig. 3, the schematic flow sheet that newly-increased entry is obtained in disclosure scheme is shown.It may comprise steps of:
S201, calculate the first similarity between the extension entry and corresponding original entry, and the expansion word The second similarity between bar and other original entries.
S202, judges whether first similarity is more than second similarity.
S203, if first similarity is more than second similarity, and first similarity and described second The difference of similarity is not less than preset difference value, then retains the extension entry.
S204, by original entry and the extension entry retained, it is defined as newly-increased entry.
For example, extend to obtain entry A for original entry A1、A2、A3If A1The first similarity between A, no More than A1, then can be by A with the second similarity between other original entry B1Filter out, not as newly-increased entry.If A2With A it Between the first similarity, more than A2With the second similarity between other original entry C, but the first similarity is similar to second The difference of degree is less than preset difference value, i.e., the two otherness it is smaller, then can be by A2Filter out.
Furthermore, it is necessary to explanation, can be according to all newly-increased entries of disclosure schemes generation in actual application Corresponding manipulation clause;Or the newly-increased entry of low frequency can also be filtered out, only generate manipulation sentence corresponding to the newly-increased entry of high frequency Formula.Corresponding to this, after obtaining newly-increased entry, it can first judge whether the occurrence number of the newly-increased entry is less than default frequency Value;If the occurrence number of the newly-increased entry is less than default frequency value, illustrate that the newly-increased entry is low frequency entry, can be by Filter out.That is, the newly-increased entry in subsequent processes is high frequency entry.
Can S103, judgement match similar entry corresponding to the newly-increased entry in default clause storehouse.
S104, if matching similar entry corresponding to the newly-increased entry, the newly-increased entry is merged into described In entry class belonging to similar entry.
After obtaining newly-increased entry, it can be matched with the entry in default clause storehouse, can judgement match newly-increased entry Corresponding similar entry, and then newly-increased entry is merged into the entry class belonging to similar entry, that is, judging to preset The entry class of newly-increased entry ownership is found in clause storehouse.
As a kind of example, similar entry can be matched for newly-increased entry by Similarity Measure.For example, new epexegesis Bar can carry out Similarity Measure with the entry in default clause storehouse, can also enter with the class name of the entry class in default clause storehouse Row Similarity Measure, disclosure scheme can be not specifically limited to this.
For example, it is " singer " to increase entry newly, can carry out Similarity Measure with the class name of " singer's entity class ", also may be used To carry out Similarity Measure with the entity in " singer's entity class ", certainly, increasing entry newly can also be with other in default clause storehouse The class name of entry class, other entries carry out Similarity Measure, and then determine similar entry corresponding to newly-increased entry, herein no longer Illustrate.
In disclosure scheme, the entry that similarity can be more than to preset value is defined as similar word corresponding to newly-increased entry Bar, wherein, depending on preset value can combine practical application request, disclosure scheme can be not specifically limited.
As a kind of example, in order to simplify processing, after obtaining newly-increased entry, first newly-increased entry can be carried out at cluster Reason, obtains at least one newly-increased entry class, is then that newly-increased entry class matches similar entry class in default clause storehouse, such as This, all entries that can include whole newly-increased entry class, is merged into similar entry class.
For example, clustering processing, disclosure scheme can be carried out by k-means clustering algorithms, k nearest neighbor algorithm etc. This can be not specifically limited.
As a kind of example, the end condition of clustering processing can be in disclosure scheme:Obtained newly-increased entry class Average distance is more than first threshold between number is not more than the class for specifying number, increasing newly entry class, increases newly average in the class of entry class Distance is less than Second Threshold etc., disclosure scheme to end condition, specify number, first threshold, Second Threshold etc. can not be done has Body limits.
As a kind of example, similar entry class can be matched for newly-increased entry class by Similarity Measure.For example, can Using the class name of the entry class in the class name of newly-increased entry class, default clause storehouse, to carry out Similarity Measure;It can also utilize new At least one entry that entry class in all entries that epexegesis bar class includes, default clause storehouse includes, carries out Similarity Measure, Disclosure scheme can be not specifically limited to this.
As a kind of example, if the entry class bag in all entries included using newly-increased entry class, default clause storehouse At least one entry included, Similarity Measure is carried out, similarity average can be obtained, and similarity average is more than default average Entry class, be defined as similar entry class corresponding to newly-increased entry class.
As a kind of example, if the entry class bag in all entries included using newly-increased entry class, default clause storehouse At least one entry included, Similarity Measure is carried out, similarity can be obtained and be more than the entry number N of preset value, and N is more than The entry class of preset number, it is defined as similar entry class corresponding to newly-increased entry class.
S105, between other entry classes in entry class and the default clause storehouse according to belonging to the similar entry Mapping relations, manipulation clause of the generation with the newly-increased entry.
As introduced at figure 1 above, after newly-increased entry to be merged into the disclosure scheme entry class belonging to similar entry, The mapping relations that can have based on the entry class belonging to similar entry, new manipulation clause is generated, i.e., with newly-increased entry Manipulate clause.
For example, entry is increased newly as " it is first to come one ", after above-mentioned processing, newly-increased entry can be merged into broadcasting and be intended to In class.In this way, the mapping relations for playing and being intended between class and singer's entity class, song entity class can be combined, generation manipulation sentence Formula " song for carrying out a first XXX ", wherein XXX can be any entity in singer's entity class;Or generation manipulation clause " comes one First YYY ", wherein YYY can be any entity in song entity class.
In summary, disclosure scheme can be entered automatically with reference to original entry corresponding to the function for the treatment of manipulation application support Row manipulation clause generation, is no longer limited by new opplication, New function, new saying, can improve the spirit of manipulation clause generating process Activity, scalability.
Referring to Fig. 4, show that disclosure scheme manipulates the schematic flow sheet of clause generation method embodiment 2.It can include Following steps:
S301, obtains original entry corresponding to the function for the treatment of manipulation application support, and original entry includes original entity And/or original intention.
S302, by extension entry corresponding to original entry and original entry, it is defined as newly-increased entry.
Can S303, judgement match similar entry corresponding to the newly-increased entry in default clause storehouse.
S301~S303 implementation process, it can refer to and introduced at S101~S103 above, here is omitted.
S304, if not matching similar entry corresponding to newly-increased entry, created in the default clause storehouse newly-increased Entry class, and the newly-increased entry is write into the newly-increased entry class.
S305, the newly-increased entry class is established to the mapping relations of the specified entry class in the default clause storehouse, generates band There is the manipulation clause of the newly-increased entry.
If not matching similar entry corresponding to newly-increased entry, that is, failing to find in default clause storehouse newly-increased The entry class of entry ownership, then newly-increased entry class can be created in default clause storehouse, newly-increased entry is write in newly-increased entry class.
Meanwhile in order to generate new manipulation clause, it is also necessary to establish newly-increased entry class to the mapping relations for specifying entry class. For example, it is " FM103.9 " to increase entry newly, and after above-mentioned processing, newly-increased entry can be write to newly-increased entry class, and " radio station is real Radio name in body class ", i.e. Fig. 1.At this point it is possible to will play be intended to class, pause is intended to class and is defined as specifying entry class, build Vertical mapping relations, " AAA FM103.9 ", wherein AAA can be to play any intention being intended in class to generation manipulation clause;Or Person, " BBB FM103.9 ", wherein BBB can be any intention that pause is intended in class to generation manipulation clause.
In disclosure scheme, it can in several ways determine to specify entry class, be exemplified below:
Mode one, entry class all in default clause storehouse can be defined as specifying entry class, i.e. establish new epexegesis The full connection of bar class;
It mode two, can dish out to user, determine at least one specified entry class from default clause storehouse by user;
Mode three, it can be determined according to default syntax rule, artificial experience etc. from default clause storehouse at least one Specify entry class.
Such as introduction made above, disclosure scheme can provide a kind of scheme for building entry extended model, can specifically join Schematic flow sheet as shown in Figure 5.It may comprise steps of:
S401, training human-machine interaction data is obtained, and to be extended corresponding to every training human-machine interaction data mark Data, the training include training with manipulation clause and/or training entry with human-machine interaction data.
When carrying out model training, substantial amounts of training human-machine interaction data can be obtained, for example, training manipulation clause And/or training entry, from described above, training can include training with intention and/or training entity with entry.
As a kind of example, human-machine interaction data can be speech data, and disclosure scheme can be not specifically limited to this. For example, user wants control music application pause, can be behaviour with phonetic entry " I is not desired to listen song ", namely human-machine interaction data Control clause;Or can also phonetic entry " pause ", namely human-machine interaction data is entry.
After obtaining training human-machine interaction data, processing can be labeled to it, is every training man-machine interaction number According to marking out corresponding growth data, it is possible to understand that ground, training are with human-machine interaction data, the growth data marked out with it Corresponding panel data.
S402, determine the topological structure of the entry extended model.
In disclosure scheme, topological structure can be DNN (English:Deep Neural Networks, Chinese:Depth god Through network), RNN (English:Recurrent Neural Networks, Chinese:Recognition with Recurrent Neural Network), SVM (English: Support Vector Machine, Chinese:SVMs) etc..By taking RNN as an example, hidden layer can be 3~7 layers, and node is 2048 or 1024 etc., disclosure scheme can be not specifically limited to this.
S403, using the training human-machine interaction data and the topological structure, training obtains the entry extension Model, the growth data of the entry extended model output is set to comprise at least the growth data of mark.
After obtaining training human-machine interaction data, topological structure, model training can be carried out using the two, obtain entry expansion Open up model.In disclosure scheme, the constraints of model training can be:The growth data of entry extended model output at least should Growth data including mark, in this way, being favorably improved the comprehensive of entry extension.
In disclosure scheme, the training process of model can refer to correlation technique realization, be not detailed herein, for example, can be with Train to obtain entry extended model using BP algorithm.
If it should be noted that in the model training stage, model training, i.e. model are carried out with manipulation clause using training Input and output be all the data with clause, and in the model measurement stage, model measurement, i.e. mould are carried out with entry using training The input and output of type are the data without clause.As in this case, although semantic difference may be made to a certain extent The similar data of entry can not form panel data, for example, both " I will build annotation ", " I not build annotation " will not turn into flat Row data, still, entry repugnance of statement and it is context-sensitive when, different sayings can be recalled according to contextual information Entry, for example, input is " I wants newly-built annotation ", output can be " I thinks one annotation of editor ", the discovery to extending entry Meaning is bigger.
In addition, the disclosure also provides a kind of manipulation clause based on above method generation, the scheme using manipulation, tool are carried out Body can be found in schematic flow sheet shown in Fig. 6.It can include:
S501, obtain user and be directed to the human-machine interaction data for treating manipulation application input, the human-machine interaction data is used to control Treat that manipulation application performs described in system and specify function.
S502, the human-machine interaction data is identified, obtains text message, and using the text message with it is described Manipulation clause is matched.
S503, if matching manipulation clause corresponding to the text message, pass through the corresponding manipulation clause control Treat that manipulation application performs described in system and specify function.
When user wants control when the specified function of manipulation application execution, for example, control music application plays Liu De China Song, corresponding human-machine interaction data can be inputted.In this way, human-machine interaction data is identified, corresponding text envelope is obtained After breath, all manipulation clause generated in clause storehouse can be preset with disclosure scheme and matched, if text can be matched Manipulation clause corresponding to information, then by the corresponding manipulation clause music application can be controlled to play the song of Liu De China.
Disclosure scheme can be not detailed to the identification process of human-machine interaction data, be referred to correlation technique realization.
Referring to Fig. 7, show that the disclosure manipulates the composition schematic diagram of clause generating means.Described device can include:
Original entry acquisition module 601, original entry corresponding to the function of manipulation application support, the original are treated for obtaining There is entry to include original entity and/or original intention;
Newly-increased entry determining module 602, for by expansion word corresponding to original entry and original entry Bar, it is defined as newly-increased entry;
First judge module 603, for judging that phase corresponding to the newly-increased entry can be matched in default clause storehouse Like entry;
Entry merging module 604, for when matching similar entry corresponding to the newly-increased entry, by the new epexegesis Bar is merged into the entry class belonging to the similar entry;
Clause generation module 605 is manipulated, for the entry class according to belonging to the similar entry and the default clause storehouse In other entry classes between mapping relations, generation with the newly-increased entry manipulation clause.
Alternatively, described device also includes:
Entry output module is extended, for the input using original entry as entry extended model, through the entry After extended model processing, extension entry corresponding to original entry is exported.
Alternatively, described device also includes:
Human-machine interaction data labeling module, for obtaining training human-machine interaction data, and it is every man-machine friendship of training Growth data corresponding to mutual data mark, training human-machine interaction data include training and used with manipulation clause and/or training Entry;
Topological structure determining module, for determining the topological structure of the entry extended model;
Model training module, for being obtained using the training human-machine interaction data and the topological structure, training The entry extended model, the growth data of the entry extended model output is set to comprise at least the growth data of mark.
Alternatively, the newly-increased entry determining module, for calculating between the extension entry and corresponding original entry The first similarity, and it is described extension entry and other original entries between the second similarity;Judge that described first is similar Whether degree is more than second similarity;If first similarity is more than second similarity, and described first similar Degree and the difference of second similarity are not less than preset difference value, then retain the extension entry;By original entry and The extension entry of reservation, it is defined as newly-increased entry.
Alternatively, described device also includes:
Entry class creation module, for when not matching similar entry corresponding to newly-increased entry, in the default clause Newly-increased entry class is created in storehouse, and the newly-increased entry is write into the newly-increased entry class;
Mapping relations establish module, for establishing the newly-increased entry class to the specified entry class in the default clause storehouse Mapping relations, manipulation clause of the generation with the newly-increased entry.
Alternatively, described device also includes:
Second judge module, for judging whether the occurrence number of the newly-increased entry is less than default frequency value;
First judge module, for when the occurrence number of the newly-increased entry is not less than default frequency value, judging Similar entry corresponding to the newly-increased entry can be matched in default clause storehouse.
Alternatively, described device also includes:
Clustering processing module, for carrying out clustering processing to the newly-increased entry, obtain at least one newly-increased entry class;
First judge module, for judging to match corresponding to the newly-increased entry class in default clause storehouse Similar entry class.
Referring to Fig. 8, the composition schematic diagram of disclosure application actuation means is shown, the device can be utilized shown in Fig. 7 and filled The manipulation clause for putting generation is carried out using manipulation.Described device can include:
Human-machine interaction data acquisition module 701, the human-machine interaction data for treating that manipulation application inputs is directed to for obtaining user, The human-machine interaction data, which is used to controlling, described to be treated that manipulation application performs and specifies function;
Clause matching module 702 is manipulated, for the human-machine interaction data to be identified, obtains text message, and profit Matched with the text message with the manipulation clause;
Functional control module 703, for when matching manipulation clause corresponding to the text message, passing through the correspondence Manipulation clause control described in treat manipulation application perform specify function.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method Embodiment in be described in detail, explanation will be not set forth in detail herein.
Referring to Fig. 9, the structural representation of electronic equipment 800 is shown.Reference picture 9, electronic equipment 800 include processing component 801, it further comprises one or more processors, and as the storage device resource representated by storage medium 802, for depositing Storage can be by the instruction of the execution of processing component 801, such as application program.The application program stored in storage medium 802 can wrap Include it is one or more each correspond to the module of one group of instruction.Refer in addition, processing component 801 is configured as execution Order, to perform above-mentioned manipulation clause generation method or using control method.
Electronic equipment 800 can also include a power supply module 803, be configured as performing the power supply pipe of electronic equipment 800 Reason;One wired or wireless network interface 806, it is configured as electronic equipment 800 being connected to network;With an input and output (I/O) interface 805.Electronic equipment 800 can be operated based on the operating system for being stored in storage medium 802, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
The preferred embodiment of the disclosure is described in detail above in association with accompanying drawing, still, the disclosure is not limited to above-mentioned reality The detail in mode is applied, in the range of the technology design of the disclosure, a variety of letters can be carried out to the technical scheme of the disclosure Monotropic type, these simple variants belong to the protection domain of the disclosure.
It is further to note that each particular technique feature described in above-mentioned embodiment, in not lance In the case of shield, can be combined by any suitable means, in order to avoid unnecessary repetition, the disclosure to it is various can The combination of energy no longer separately illustrates.
In addition, it can also be combined between a variety of embodiments of the disclosure, as long as it is without prejudice to originally Disclosed thought, it should equally be considered as disclosure disclosure of that.

Claims (20)

1. one kind manipulation clause generation method, it is characterised in that methods described includes:
Obtain and treat original entry corresponding to function that manipulation application is supported, original entry includes original entity and/or original It is intended to;
By extension entry corresponding to original entry and original entry, it is defined as newly-increased entry;
Can judgement match similar entry corresponding to the newly-increased entry in default clause storehouse;
If matching similar entry corresponding to the newly-increased entry, the newly-increased entry is merged into the similar entry institute In the entry class of category;
The mapping relations between other entry classes in entry class and the default clause storehouse according to belonging to the similar entry, Manipulation clause of the generation with the newly-increased entry.
2. according to the method for claim 1, it is characterised in that obtain the mode of extension entry corresponding to original entry For:
Input using original entry as entry extended model, after entry extended model processing, export the original There is extension entry corresponding to entry.
3. according to the method for claim 2, it is characterised in that the mode for building the entry extended model is:
Training human-machine interaction data is obtained, and is every training growth data corresponding to human-machine interaction data marks, it is described Training includes training with manipulation clause and/or training entry with human-machine interaction data;
Determine the topological structure of the entry extended model;
Using the training human-machine interaction data and the topological structure, training obtains the entry extended model, makes institute The growth data of predicate bar extended model output comprises at least the growth data of mark.
4. according to the method described in any one of claims 1 to 3, it is characterised in that described by original entry and described Extension entry corresponding to original entry, it is defined as newly-increased entry, including:
Calculate the first similarity between the extension entry and corresponding original entry, and the extension entry and other originals There is the second similarity between entry;
Judge whether first similarity is more than second similarity;
If first similarity is more than second similarity, and the difference of first similarity and second similarity Value is not less than preset difference value, then retains the extension entry;
By original entry and the extension entry retained, it is defined as newly-increased entry.
5. according to the method described in any one of claims 1 to 3, it is characterised in that methods described also includes:
If not matching similar entry corresponding to newly-increased entry, newly-increased entry class is created in the default clause storehouse, and The newly-increased entry is write into the newly-increased entry class;
The newly-increased entry class is established to the mapping relations of the specified entry class in the default clause storehouse, generation is with described newly-increased The manipulation clause of entry.
6. according to the method described in any one of claims 1 to 3, it is characterised in that can be in default clause storehouse in the judgement In match similar entry corresponding to the newly-increased entry before, methods described also includes:
Judge whether the occurrence number of the newly-increased entry is less than default frequency value;
If the occurrence number of the newly-increased entry is not less than default frequency value, then perform the judgement can be in default clause storehouse In the step of matching similar entry corresponding to the newly-increased entry.
7. according to the method described in any one of claims 1 to 3, it is characterised in that described by original entry, Yi Jisuo Extension entry corresponding to original entry is stated, after being defined as newly-increased entry, methods described also includes:
Clustering processing is carried out to the newly-increased entry, obtains at least one newly-increased entry class;
Then, can the judgement match similar entry corresponding to the newly-increased entry in default clause storehouse, including:Judge energy It is no that similar entry class corresponding to the newly-increased entry class is matched in default clause storehouse.
8. one kind applies control method, it is characterised in that for the behaviour using the generation of any one of claim 1 to 7 methods described Control clause include using manipulation, methods described:
Obtain user and be directed to the human-machine interaction data for treating manipulation application input, the human-machine interaction data, which is used to controlling, described to be waited to grasp Control application, which performs, specifies function;
The human-machine interaction data is identified, obtains text message, and utilize the text message and the manipulation clause Matched;
If matching manipulation clause corresponding to the text message, by waiting to grasp described in the corresponding manipulation clause control Control application, which performs, specifies function.
9. one kind manipulation clause generating means, it is characterised in that described device includes:
Original entry acquisition module, original entry corresponding to the function of manipulation application support, original entry are treated for obtaining Including original entity and/or original intention;
Newly-increased entry determining module, for will extend entry corresponding to original entry and original entry, is defined as Newly-increased entry;
First judge module, for judging that similar entry corresponding to the newly-increased entry can be matched in default clause storehouse;
Entry merging module, for when matching similar entry corresponding to the newly-increased entry, the newly-increased entry to be merged Into the entry class belonging to the similar entry;
Clause generation module is manipulated, for other in the entry class according to belonging to the similar entry and the default clause storehouse Mapping relations between entry class, manipulation clause of the generation with the newly-increased entry.
10. device according to claim 9, it is characterised in that described device also includes:
Entry output module is extended, for the input using original entry as entry extended model, is extended through the entry After model treatment, extension entry corresponding to original entry is exported.
11. device according to claim 10, it is characterised in that described device also includes:
Human-machine interaction data labeling module, for obtaining training human-machine interaction data, and it is every training man-machine interaction number According to growth data corresponding to mark, the training includes training with manipulation clause and/or training entry with human-machine interaction data;
Topological structure determining module, for determining the topological structure of the entry extended model;
Model training module, for utilizing the training human-machine interaction data and the topological structure, training obtains described Entry extended model, the growth data of the entry extended model output is set to comprise at least the growth data of mark.
12. according to the device described in any one of claim 9 to 11, it is characterised in that
The newly-increased entry determining module, it is similar with first between corresponding original entry for calculating the extension entry The second similarity between degree, and the extension entry and other original entries;Judge whether first similarity is more than Second similarity;If first similarity is more than second similarity, and first similarity and described the The difference of two similarities is not less than preset difference value, then retains the extension entry;By original entry and the extension retained Entry, it is defined as newly-increased entry.
13. according to the device described in any one of claim 9 to 11, it is characterised in that described device also includes:
Entry class creation module, for when not matching similar entry corresponding to newly-increased entry, in the default clause storehouse Newly-increased entry class is created, and the newly-increased entry is write into the newly-increased entry class;
Mapping relations establish module, for establishing mapping of the newly-increased entry class to the specified entry class in the default clause storehouse Relation, manipulation clause of the generation with the newly-increased entry.
14. according to the device described in any one of claim 9 to 11, it is characterised in that described device also includes:
Second judge module, for judging whether the occurrence number of the newly-increased entry is less than default frequency value;
First judge module, for when the occurrence number of the newly-increased entry is not less than default frequency value, can judgement Similar entry corresponding to the newly-increased entry is matched in default clause storehouse.
15. according to the device described in any one of claim 9 to 11, it is characterised in that described device also includes:
Clustering processing module, for carrying out clustering processing to the newly-increased entry, obtain at least one newly-increased entry class;
First judge module, it can be matched for judgement in default clause storehouse similar corresponding to the newly-increased entry class Entry class.
16. one kind applies actuation means, it is characterised in that for utilizing the generation of any one of claim 9 to 15 described device Manipulation clause include using manipulation, described device:
Human-machine interaction data acquisition module, the human-machine interaction data for treating that manipulation application inputs, the people are directed to for obtaining user Machine interaction data, which is used to controlling, described to be treated that manipulation application performs and specifies function;
Clause matching module is manipulated, for the human-machine interaction data to be identified, obtains text message, and utilize the text This information is matched with the manipulation clause;
Functional control module, for when matching manipulation clause corresponding to the text message, passing through the corresponding manipulation Treat that manipulation application performs described in clause control and specify function.
17. a kind of storage medium, wherein being stored with a plurality of instruction, it is characterised in that the instruction is loaded by processor, right of execution Profit requires the step of any one of 1 to 7 methods described.
18. a kind of storage medium, wherein being stored with a plurality of instruction, it is characterised in that the instruction is loaded by processor, right of execution Profit requires the step of 8 methods described.
19. a kind of electronic equipment, it is characterised in that the electronic equipment includes;
Storage medium described in claim 17;And
Processor, for performing the instruction in the storage medium.
20. a kind of electronic equipment, it is characterised in that the electronic equipment includes;
Storage medium described in claim 18;And
Processor, for performing the instruction in the storage medium.
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