CN107870994A - Man-machine interaction method and system for intelligent robot - Google Patents
Man-machine interaction method and system for intelligent robot Download PDFInfo
- Publication number
- CN107870994A CN107870994A CN201711044549.0A CN201711044549A CN107870994A CN 107870994 A CN107870994 A CN 107870994A CN 201711044549 A CN201711044549 A CN 201711044549A CN 107870994 A CN107870994 A CN 107870994A
- Authority
- CN
- China
- Prior art keywords
- topic
- sub
- information
- main
- interaction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- Artificial Intelligence (AREA)
- Human Computer Interaction (AREA)
- Robotics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Manipulator (AREA)
- Machine Translation (AREA)
Abstract
The invention discloses a kind of man-machine interaction method and system for intelligent robot, this method comprises the following steps：Receive multi-modal input data and parse, talk with reference to context, it is determined that topic information corresponding to current man-machine interaction, the topic information include main topic and corresponding sub-topic information；With reference to topic information, it is determined that current interaction is intended to；It is intended to reference to current interaction, selection and the main topic or sub-topic of current topic information association, it is intended to reference to the main topic or sub-topic of association and the interaction, generation dialogue is replied data and exported, and data are replied in dialogue includes the reply content being intended to for current interaction and the active push content generated according to the main topic or sub-topic of association.The present invention completes more wheels and talked with when intelligent robot can be made to carry out man-machine interaction with user, improve the scalability of chat and the accuracy of response, improve Consumer's Experience.
Description
Technical field
The present invention relates to field in intelligent robotics, more particularly to a kind of man-machine interaction method for intelligent robot and it is
System.
Background technology
With the continuous development of scientific technology, the introducing of information technology, computer technology and artificial intelligence technology, machine
Industrial circle is progressively walked out in the research of people, gradually extend to the neck such as medical treatment, health care, family, amusement and service industry
Domain.And requirement of the people for robot is also conformed to the principle of simplicity the multiple mechanical action of substance be promoted to anthropomorphic question and answer, independence and with
The intelligent robot that other robot interacts, man-machine interaction also just turn into an important factor for determining intelligent robot development.
Therefore, the interaction capabilities of intelligent robot are lifted, improves the class human nature of robot and intelligent, is the important of present urgent need to resolve
Problem.
The content of the invention
One of technical problems to be solved by the invention are to need to provide a kind of man-machine interaction side for intelligent robot
Method and system, more wheels are carried out when by the program intelligent robot can be made to carry out man-machine interaction with user and are talked with, improve chat
Scalability and response accuracy, improve Consumer's Experience.
In order to solve the above-mentioned technical problem, embodiments herein provide firstly a kind of for the man-machine of intelligent robot
Exchange method, this method comprise the following steps：Receive multi-modal input data and parse, talk with reference to context, it is determined that currently
Topic information corresponding to man-machine interaction, the topic information include main topic and corresponding sub-topic information, wherein, the sub- words
Multiple directly one of attributes of entitled main topic；With reference to the topic information, it is determined that current interaction is intended to；With reference to current interaction meaning
Figure, selection and the main topic or sub-topic of current topic information association, with reference to the association main topic or sub-topic and
The interaction is intended to, and generation dialogue is replied data and exported, and data are replied in the dialogue to be included returning for what current interaction was intended to
Multiple content and the active push content generated according to the main topic or sub-topic of association.
Preferably, the topic information is that the topic collection of illustrative plates that knowledge based collection of illustrative plates structure binding entity information is built determines
's.
Preferably, in the main topic of selection association or sub-topic step, it is determined that after actualite information, according to remaining
The topic temperature of main topic and sub-topic, or the frequency occurred in active user's history chat record, select the master of association
Topic or sub-topic.
Preferably, this method also includes：Current round user is parsed to export the main topic of push or the dialogue of sub-topic
The multi-modal feedback information of data；According to user to the main topic or the feedback result of sub-topic, next round pair is adjusted or kept
The main topic or sub-topic of words.
Another aspect according to embodiments of the present invention, a kind of man-machine interactive system for intelligent robot is additionally provided,
The system includes following module：Topic determining module, it receives multi-modal input data and parsed, talks with reference to context, really
Topic information corresponding to settled preceding man-machine interaction, the topic information include main topic and corresponding sub-topic information, wherein, institute
State multiple directly one of the attributes of sub-topic for main topic；Interaction is intended to determining module, and it is with reference to the topic information, it is determined that working as
Preceding interaction is intended to；Talk with output data generation module, it combines current interaction and is intended to, selection and current topic information association
Main topic or sub-topic, it is intended to reference to the main topic or sub-topic of the association and the interaction, data are replied in generation dialogue
And export, data are replied in the dialogue includes the reply content for currently interaction is intended to and the main topic or son according to association
The active push content of topic generation.
Preferably, the topic information is that the topic collection of illustrative plates that knowledge based collection of illustrative plates structure binding entity information is built determines
's.
Preferably, the dialogue output data generation module, it is further it is determined that after actualite information, according to remaining
The topic temperature of main topic and sub-topic, or the frequency occurred in active user's history chat record, select the master of association
Topic or sub-topic.
Preferably, the system also includes：Topic adjusting module, it parses main topic or son of the current round user to push
The multi-modal feedback information of the dialogue output data of topic；According to user to the main topic or the feedback result of sub-topic, adjustment
Or keep the main topic or sub-topic of next round dialogue.
Another aspect according to embodiments of the present invention, a kind of cloud server is additionally provided, it possesses people as described above
Machine interactive system.
Compared with prior art, one or more of such scheme embodiment can have the following advantages that or beneficial to effect
Fruit：
During the embodiment of the present invention is by intelligent robot and user's man-machine interaction, more wheel man-machine interaction letters are parsed
Breath, the topic information with reference to corresponding to context dialogue determines current man-machine interaction, the topic information is including main topic and correspondingly
Sub-topic information；With reference to the intention of current human-machine interactive information, selection and the main topic or son of current topic information association
Topic, be intended to reference to the main topic or sub-topic of association and interaction, in next round dialogue active push to user is relevant should
The dialogue output data of sub-topic.The embodiment of the present invention can identify topic from current man-machine interaction, in main topic and son
Under the topic collection of illustrative plates framework of topic, with reference to sub-topic, while user session sentence is replied, the active for carrying out topic is recommended,
The richness of topic in more wheel dialogues is improved, strengthens interactive interest, improves the interactive experience of user.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing technical scheme.The purpose of the present invention and other advantages can by
Specifically noted structure and/or flow are realized and obtained in specification, claims and accompanying drawing.
Brief description of the drawings
Accompanying drawing is used for providing to the technical scheme of the application or further understanding for prior art, and constitution instruction
A part.Wherein, the accompanying drawing for expressing the embodiment of the present application is used for the technical side for explaining the application together with embodiments herein
Case, but do not form the limitation to technical scheme.
Fig. 1 is the application scenarios schematic diagram of the man-machine interaction robot of the embodiment of the present application.
Fig. 2 is the illustrative view of functional configuration of the man-machine interaction robot of the embodiment of the present application.
Fig. 3 is the function knot of the example one of the man-machine interactive system of the cloud server (high in the clouds brain) of the embodiment of the present application
Structure schematic diagram.
Fig. 4 forms structural representation for the topic collection of illustrative plates using star as entity of the embodiment of the present application.
Fig. 5 is the function knot of the example two of the man-machine interactive system of the cloud server (high in the clouds brain) of the embodiment of the present application
Structure schematic diagram.
Fig. 6 is the schematic flow sheet of the example one of the man-machine interaction method for intelligent robot of the embodiment of the present application.
Embodiment
Embodiments of the present invention are described in detail below with reference to drawings and Examples, and how the present invention is applied whereby
Technological means solves technical problem, and the implementation process for reaching relevant art effect can fully understand and implement according to this.This Shen
Each feature that please be in embodiment and embodiment, can be combined with each other under the premise of not colliding, the technical scheme formed
Within protection scope of the present invention.
In addition, the flow of accompanying drawing can be in the computer system of such as one group computer executable instructions the step of illustrating
Middle execution.Also, although logical order is shown in flow charts, in some cases, can be with different from herein
Order performs shown or described step.
In recent years, developing rapidly with artificial intelligence, chat robots also receive the extensive of academia and industrial quarters
Concern.Chat robots are a kind of intelligent robots to be engaged in the dialogue by the natural language simulation mankind.Chat robots at present
It is broadly divided into online customer service, amusement, education, personal assistant and intelligent answer this five species.No matter which kind of robot can be with
User carries out a certain degree of interaction.However, in current chat robot application scene, the dialogue of robot and user are past
Toward being that the question answering system in knowledge based storehouse is realized, the identification of topic is not carried out, so easily causes dialogue always several
Just terminate quickly after individual bout, the poor expandability of chat, often make it that dialogue is uninteresting and usually a two-wheeled is talked with afterwards just
Termination.Meanwhile this chat mechanism based on single-wheel, without the mark of topic, it have ignored the chat master of the former wheels of active user
Topic, therefore its answer returned can have certain deviation, or even return to the answer of mistake.Moreover, merely follow user's
The problem of topic is to engage in the dialogue, or only be sent with user is answered, and dialogue can be caused to extend uncontrollable.Such as：
Q：You know deer break
A：I knows deer break certainly.
For such answer, user neither will appreciate that robot is really to know or simply blurt out to have a talk about, also not true
How subsequent fixed this chat is good, then user next will brain hole turn up the soil greatly various questions, so may result in dialogue
It is uncontrollable, and robot also usually connects the problem of incessantly user sends, and causes user to feel merely not going down without chatting,
Reduce the viscosity of user and robot.
Therefore, current intelligent robot can not meet the chat demand of user, and the response result of return can not meet
The expection of user, reduce the interest that user uses chat robots, it is desirable to provide a kind of scheme solves the above problems.
For a better understanding of the present invention, before being illustrated to embodiment, first the term being related in this example " is talked about
Topic " slightly illustrates.
Topic：Borrow the narrow sense in linguistics on topic to define, i.e. the central body of a word is the words
Topic.Based on it is desirable that topic can preferably extend, all central body association attributeses around topic define
Sub-topic under topic.Such as：" you like Liu De magnificent" central body is Liu Dehua, entitled " Liu De if that the words
China ", if the main topic that at this moment we define discussion is " Liu Dehua ", then " you like listening his when next sentence is asked《Ice
Rain》" central body is " Liu Dehua's《Ice rain》", then it is sub-topic.
Topic is divided into main topic and sub-topic, it is necessary to identify which is main topic, which is sub-topic, and main topic is in star
Star personage is primarily referred to as under this field, sub-topic is his direct attribute, is deployed around star personage.In addition, such as
Fruit problem is that " you like listening《Ice rain》", the topic that the words is chatted is music, and main topic is《Ice rain》If next
Also ask that " this song is that Liu Dehua is sung, and you know Liu Dehua", " Liu Dehua " that the words is chatted is then sub-topic.To sum up,
In short there may be multiple topic labels, be main topic under some topic, may be then sub-topic under another topic,
It is such to define mainly with topic extension correlation afterwards.
Embodiment
Fig. 1 is the application scenarios schematic diagram of the man-machine interaction robot of the embodiment of the present application.In the application scenarios, including
Intelligent robot 20 and high in the clouds brain (cloud server) 10, the artificial example of machine is talked with the embodiment, the dialogue robot
20 carry out voice man-machine interaction with user U.The dialogue robot 20 is in addition to it can be the tangible machine people shown in Fig. 1, also
Can be the robot application program being mounted on smart machine, smart machine can be traditional PC PCs, LapTop
Notebook computer, children-story machine, line holographic projections equipment etc. or can carry with and can by WLAN,
The wireless modes such as mobile communications network access the terminal device of internet.In the embodiment of the present application, wireless terminal includes but unlimited
In mobile phone, children-story machine, audio amplifier, Netbook (net book) etc., wireless terminal typically has multi-modal information collection and data
The functions such as transmission.Brain end of the high in the clouds brain 10 as intelligent robot 20, it is configured with man-machine interactive system 100, the system
100 are used for handling the multi-modal input data of the transmission of intelligent robot 20, such as parse vision data, complete visual identity, vision
Detection, and, perform affection computation, cognition calculating and semantic understanding etc., the voice number of user mainly in interactive process
According to so as to which decision-making goes out the dialogic voice to be output of robot 20 or other multi-modal output datas.
It is pointed out that the man-machine interaction method and system of this intelligent robot, are also applied for being adapted to children's AI equipment,
Such as (a kind of to meet that pediatric population listens children's AI equipment of music, story, national literature audio frequency and video, the equipment can for children-story machine
Possess the cartoon IP images of animal and personage) conversational applications scene, set in addition, the Story machine can be controlled by intelligent handhold
It is standby, performed with completing the setting of intelligent robot and instruction.
The functional structure of intelligent robot 20 is first briefly introduced below.As shown in Fig. 2 intelligent robot 20 mainly wraps
Include：Communication module 22, data processing unit 23 and man-machine interaction input/output module 24.The input and output mould of human-computer interaction function
Block 24, it obtains multi-modal input data and exports the multi-modal data (mainly speech data) from high in the clouds brain 10；
Data processing unit 23, its multi-modal data collected to input/output module 24 pre-process；Communication module 22, it will
High in the clouds brain 10 is forwarded to through 23 pretreated multi-modal data of data processing unit.In dialogue robot with application program
When pattern is mounted on smart machine, smart machine is also equipped with user interface, default aobvious except possessing functional module above
Show and show that dialogue machine is humanoid as being engaged in the dialogue with user in region.
The composition and function of the unit module of intelligent robot 20 are specifically described below.
Illustrate man-machine interaction input/output module 24 first.Man-machine interaction input/output module 24 includes voice collecting system
System, image capturing system and text input system, can also include other modal data input equipments.Due to the intelligence in this example
Robot more than 20 is used in human-computer dialogue scene, therefore emphasis illustrates the function of speech collecting system.Speech collecting system master
To include the equipment such as microphone, A/D converter.After user sends voice messaging, speech collecting system gathers via microphone
The analog voice signal, analog voice signal will be converted into the voice signal that system can handle using A/D converter, then
Audio digital signals are inputted to data processing unit 23 to the pretreatment for carrying out voice messaging, pretreatment mainly includes filtering and put
It is big etc..Mainly the equipment such as including imaging sensor, imaging sensor can be that CCD picture pick-up devices or CMOS take the photograph to image capturing system
As device, mainly the face-image current to user, pose presentation are acquired.Text input system is set including touch-screen input
Standby, keyboard, mouse etc., pass through these equipment input text datas.Other modal data input equipments, such as can be that tactile is adopted
Collecting system, the system include touch sensor, and touch sensor receives the touch signal from user.
Then communication module 22 is illustrated.The communication module 22, which possesses, sends and receives function, in this example mainly
By the local man-machine man-machine interactive system for interactively entering 24 pretreated speech data of output module and being forwarded to high in the clouds brain 10
In, and receive and carry out dialogue output number obtained from interaction that the decision-making of man-machine interactive system 100 goes out, response user is intended to
According to.
Data processing unit 23, its multi-modal data mainly gathered to man-machine interaction input/output module 24 are located in advance
Reason, for speech data, filtering and enhanced processing are substantially carried out, for then needing execution filtering and noise reduction, gray scale to repair for image
Just, image enhaucament and geometric transformation etc..
The each part and function of the man-machine interactive system 100 of high in the clouds brain 10 are illustrated below.
As shown in figure 3, man-machine interactive system 100 includes topic determining module 110, interaction is intended to determining module 120, topic
Output data generation module 130 and topic collection of illustrative plates memory module 140.
The function of above-mentioned modules is specifically described below.
Topic determining module 110, it receives multi-modal input data and simultaneously parsed, and extracts voice messaging therein and goes forward side by side style of writing
This conversion, talk with combination with context, it is determined that topic information corresponding to current man-machine interaction, topic information include main topic and
Corresponding sub-topic information, wherein, sub-topic is one of multiple direct attributes of main topic.In this example, topic information is base
Determined in topic collection of illustrative plates, and topic collection of illustrative plates is knowledge based collection of illustrative plates structure binding entity information builds, such as shown in Fig. 4
Topic collection of illustrative plates, it is stored in advance in topic collection of illustrative plates memory module 140.In the topic collection of illustrative plates, calculated in order to facilitate high in the clouds
Machine is inquired about, and each entity information can set an entity ID, bright shown in Fig. 4 as an example of entity information
Star is main topic, is the main body of chat；It is its essential information, personage's evaluation, works, big as the knowledge mapping structure of the star
This main topic expansion around star of the branches such as event/important experience, social activities, social networks, similar artist, is it
Sub-topic, and for the branch below some sub-topics, such as branch's " masterpiece " under sub-topic " works ", one can be entered
Walk the two level sub-topic as the sub-topic." entity information " in addition to it can be name, place name, Item Title etc. can
Topic collection of illustrative plates is constructed as entity information, the present invention is not limited this.
Specifically, topic determining module 110, it is mainly parsed to the voice messaging of multi-modal input data, and
The parsing embodiment of the present invention of other kinds of multi-modal input data does not introduce, and may be referred to prior art to figure
The dissection process of the multi-modal datas such as picture, text.Voice letter of the topic determining module 10 after receiving communication module 22 and forwarding
After breath, text message corresponding to voice messaging generation is responded.First, the voice messaging after such as noise suppression preprocessing is carried out
The comprehensive analysis of speech recognition, generate text message corresponding with voice messaging.It should be noted that speech recognition, for people
For the voice that receives immediately can be converted to text information, but what is received for robot is then data signal
.When someone puts question to, " how do you do" when, " Ni " this pronunciation can be that " mud " can also be " inverse ", so finally to determine
It is which word also needs to speech recognition technology to realize the maximization of calculating probability.In this example, it is special according to the voice of people first
Point establishes speech model, and the voice signal of input is analyzed, and extracts required feature, establishes voice knowledge on this basis
Not required template.Will be according to the model of speech recognition, by the sound template prestored and the language of input in identification process
The feature of sound signal is compared, and according to certain search and matching strategy, is found out a series of optimal with inputting voice match.
According to the definition of this template.Then, text analyzing is carried out to text message, that is, obtains the specific semantic content of text.Specifically,
After recognition result is obtained, semantic parsing is carried out to recognition result using natural language processing technique.Semantic analysis, refer to
Given natural language is converted into certain formalization representation for reflecting its meaning, that is, by the mankind it will be appreciated that natural language
Speech be converted into computer it will be appreciated that formal language.After analysis result is obtained, calculate the analysis result and know with what is set
The semantic similarity (similarity of problem and problem) of the content in storehouse is known, so as to the search in knowledge base and analysis result phase
The data matched somebody with somebody.So far, the parsing operation to human-machine interactive information is completed.
Afterwards, it whether there is the specific vocabulary related to main topic or sub-topic in the speech text information for judging to obtain,
Such as the specific vocabulary that name, place name etc. are related to main topic, or movie name, variety activity noun etc. and sub-topic phase
The specific vocabulary closed.Moreover, those skilled in the art can be updated according to current web technology term or user's request or addition
" specific vocabulary ", make the content of database more abundant, improve Consumer's Experience.The spy that can be directed in " specific vocabulary " database
Determine vocabulary, carry out speech text information and carry out morphology similarity and/or Semantic Similarity Measurement with each specific vocabulary, judge language
With the presence or absence of corresponding specific vocabulary in sound text message.When morphology similarity is more than threshold value, and numerical value is very big, then without calculating
Semantic similarity can determine whether that speech text has specific vocabulary, otherwise, the weighting of computing semantic similarity and morphology similarity
With judge whether specific vocabulary.It whether there is the method for specific vocabulary in the speech text information obtained on judgement,
It can also be realized by other technologies, do not limited herein.
After the specific vocabulary in parsing human-machine interactive information, first by the specific vocabulary and the spy for talking with appearance before
Determine vocabulary to be compared, judge whether the specific vocabulary is to occur first, if occurring first, then further pass through topic collection of illustrative plates
Inquire about and judge main topic and sub-topic belonging to it, then using main topic corresponding to the specific vocabulary and sub-topic as current
The topic information of man-machine interaction.
For example, when user is as session originator, first main information of input is the sentence of star's name, is opened in dialogue
After beginning, until one before end-of-dialogue asks that (referred to as " Q ") one answers (abbreviation " A ") and will do the mark of topic, while son is marked
Topic.It is shown in the following example：
Q：You know deer break【Main topic：Deer break】
Because the topic occurs first, therefore, answer content will be that the expansion of main topic is carried out with " deer break ".
Interaction is intended to determining module 120, and it combines topic information, it is determined that current interaction is intended to.
After main topic and sub-topic information is determined, interaction is intended to determining module 120 according to these information to man-machine friendship
Mutual information carries out intention assessment.Example as set forth above, the analysis result obtained by speech recognition are that " you know deer break
", the subject information that the problem is determined by parsing is：Main topic-deer break, therefore, this is can determine by the way that the two is combined
The true intention of secondary man-machine interaction is " whether inquiry chat robots understand star deer break ".In other examples, interaction meaning
Figure determining module 120 can carry out intention assessment using deep learning algorithm, repeat no more herein.
Talk with output data generation module 130, it combines current interaction and is intended to, selection and current topic information association
Main topic or sub-topic, it is intended to reference to the main topic or sub-topic of association and interaction, generation dialogue is replied data and exported, right
Words, which reply data, includes the reply content being intended to for current interaction and the master generated according to the main topic or sub-topic of association
Dynamic push content.
Specifically, talking with output data generation module 130, on the one hand generation is responded in the response matched with user view
Hold, while also generation includes associating the push content of main topic or sub-topic.During dialogue output data generation, the mould
Block 130 further it is determined that after actualite information, is used according to remaining main topic and the topic temperature of sub-topic, or currently
The frequency occurred in the history chat record of family, select the main topic or sub-topic of association.Then, according to pre-designed reply
Masterplate generates reply data.
In this example, the main topic of push or sub-topic are selected advantageously according to topic temperature, is sieved by this method
It is new by the association similar to the web crawlers technical limit spacing star personage in recent setting time section beyond the clouds when selecting topic
Hear, the information grabbed is pre-processed, filters out incoherent content, then select corresponding to information content highest content
Main topic or sub-topic., can be according to the number of attributes of Present News, number of links, a page piece when execution information amount counts
The contents such as width, number of visits are carried out, and the size of these numerical value and topic hot topic degree is positively related relation, and this example preferably uses
The statistical of number of visits., can also be according to topic temperature, in advance to main words different in a period of time in other examples
The sub-topic for inscribing or belonging to together same main topic sets the weight of reaction topic strength respectively, then when screening topic, according to words
The weighted value of topic is carried out, and the weight can be lower value or negative value, such as represent the topic of vulgar or unhappy content.
If the recent news of the star personage is less, the history chat message of user can be analyzed, user is obtained and often chats
Topic, the good topic of user feedback, user do not like topic merely, the personal traits and custom of user, then according to this
A little information select main topic or sub-topic.In a simple example, utilize what is frequently occurred in user's history chat message
Entity information, such as the term of 1000 most frequent appearance, to select topic.Such as often occur " singing in user's chat record
The term of song ", then after user mentions star's main body, then the song in works sub-topic is selected to be pushed.In order to
The term frequency of user's history chat message is inquired to more convenient and quicker, one can be previously set for if the user
Topic set, the topic set include the higher term of a large amount of frequency with tabular form, indicate user field interested.
And pre-designed reply template is directed to, such as：
A：Certainly know, the variety show that he participates in recently《Run man》But non-normalizing.
Wherein, the sub-topic that " variety show " is imported aiming at main topic deer break, "《Run man》" it is variety show
Particular content, the selection of the sub-topic are to carry out selection based on topic temperature.Certainly, " variety show " can also replace with
Other sub-topics, such as " film ", " music " etc., corresponding content also becomes therewith turns to the name of film or the name of music
Word.Those skilled in the art can reply masterplate according to corresponding to being actually needed design, and the present invention does not limit.
In chat conversations before, the reply of robot is inquired about from existing database, and the answer of acquisition is
Fixed, and the always mode of question-response, without expansible content, the poor expandability of chat, often cause dialogue
It is uninteresting, and usually just terminated after two-wheeled dialogue is carried out.
Import sub-topic come generate the mode of reply content refer to our utilize knowledge mapping data, in reply except
The problem of responding user, the content of sub-topic is also added, which can excite the interest that user chats down, and guiding user presses
The possible logic designed according to us is chatted down, and allows chat to become controllable, such as：
Q：You know deer break【Main topic：Deer break】
A：Certainly know, the variety show that he participates in recently《Run man》But non-normalizing.【Main topic：Deer break】-【Son words
Topic-variety show-race man】, this dialogue includes replying Q content and topic pushes content.
Q：《Run man》You both know about【Main topic：Deer break】-【Sub-topic-variety show-race man】
A：Yes, I also knows that heat bar is also participated in《Run man》【Main topic：Heat bar】-【Sub-topic-variety show-race
Man】, this dialogue includes replying Q content and topic pushes content.
Q：What it seems that you knew is also very many.【Main topic：Heat bar】-【Sub-topic-variety show-race man】
Fig. 6 is the schematic flow sheet of the example one of the man-machine interaction method for intelligent robot of the embodiment of the present application.
Illustrate the interaction flow of this interactive system with reference to Fig. 6.
As shown in fig. 6, in step S610, topic determining module 110 receives multi-modal input data and parsed, with reference to upper
Hereafter talk with, it is determined that topic information corresponding to current man-machine interaction, the topic information include main topic and corresponding sub-topic
Information, wherein, the sub-topic is one of multiple direct attributes of main topic.In step S620, interaction is intended to determining module
120 with reference to the topic information, it is determined that current interaction is intended to.In step S630, dialogue output data generation module 130 combines
Current interaction is intended to, selection and the main topic or sub-topic of current topic information association, with reference to the association main topic or
Sub-topic and the interaction are intended to, and generation dialogue is replied data and exported, and data are replied in the dialogue to be included handing over for current
The reply content being mutually intended to and the active push content generated according to the main topic or sub-topic of association.
During the embodiment of the present invention is by intelligent robot and user's man-machine interaction, more wheel man-machine interaction letters are parsed
Breath, the topic information with reference to corresponding to context dialogue determines current man-machine interaction, then in conjunction with the meaning of current human-machine interactive information
Figure, selection and the main topic or sub-topic of current topic information association, with reference to the main topic or sub-topic of association and interaction
It is intended to, active push gives dialogue output data of the user about the sub-topic in next round dialogue.The embodiment of the present invention can
Topic is identified from current man-machine interaction, under main topic and the topic collection of illustrative plates framework of sub-topic, is replying user session language
While sentence, the active for carrying out topic is recommended, and improves the richness of topic in more wheel dialogues, strengthens interactive interest,
Improve the interactive experience of user.
Supplementary notes
Fig. 5 is that the functional structure of the man-machine interactive system of the cloud server (high in the clouds brain) of another embodiment of the present invention is shown
It is intended to.As shown in figure 5, in addition to possessing the module shown in above example, topic adjusting module 150 is provided with, the mould
Block 150 is mainly to determine whether user includes main topic or the interest-degree of sub-topic content to push.Specifically, it is parsed
Current round user is to the main topic of push or the multi-modal feedback information of the dialogue output data of sub-topic；According to user to this
The feedback result of main topic or sub-topic, adjustment or the main topic or sub-topic for keeping next round dialogue.
Topic adjusting module 150 can be by analyzing representated by voice messaging and/or the user's face expression of user feedback
Emotional information come determine its to push topic interest-degree.When carrying out semantic understanding, receive what is forwarded from communication module 22
Voice messaging, speech recognition and natural language processing are carried out to it, therefrom identify the true intention of user.Carrying out affection computation
When, the current emotional state of user is obtained by Emotion identification technology.Emotion identification technology is one of affection computation important
Part, Emotion identification include facial expression, voice, behavior, text and physiological signal identification etc., pass through above content
May determine that the emotional state of user.Emotion identification technology can only monitor the feelings of user by vision Emotion identification technology
Not-ready status, the mood of user can also be monitored by the way of vision Emotion identification technology and sound Emotion identification technology combine
State, and be not limited thereto.In the present embodiment, it is preferred to use the two mode combined monitors mood.
After the parsing of multi-modal feedback information is carried out, if voice messaging and/or the emotional information of user are represented to current
It is higher to push the interest-degree of topic, such as voice messaging is " you introduce xxx to me " and/or mood is positive shape
State, then topic adjusting module 150 do not change the topic currently pushed, still push the topic or associated in next round dialogue
Content to user.If voice messaging and/or the emotional information of user represent relatively low to the interest-degree of current push topic, such as
Voice messaging is passive states for " I does not like xxx, changes a topic " and/or mood, then the adjustment of topic adjusting module 150 is worked as
The topic of preceding push, other incoherent topic contents are pushed to user in next round dialogue.
The embodiment of the present invention can adjust the topic of robot push according to the feedback of user, avoid continuously being pushed to use
Family is lost interest in topic, is strengthened interactive interest, is improved the interactive experience of user.
Because the method for the present invention describes what is realized in computer systems.The computer system can for example be set
In control core processor.For example, method described herein can be implemented as software that can be with control logic to perform, it is by grasping
Make the CPU in system to perform.Function as described herein can be implemented as being stored in non-transitory tangible computer computer-readable recording medium
In programmed instruction set.When implemented in this fashion, the computer program includes one group of instruction, when the group is instructed by calculating
It promotes computer to perform the method that can implement above-mentioned function when machine is run.FPGA can be temporarily or permanently arranged on
In non-transitory tangible computer computer-readable recording medium, such as ROM chip, computer storage, disk or other storages are situated between
Matter.Except with software come in addition to realizing, logic as described herein can utilize discrete parts, integrated circuit, be set with FPGA
The FPGA that standby (such as, field programmable gate array (FPGA) or microprocessor) is used in combination, or appoint including them
Any other equipment of combination of anticipating embodies.All such embodiments are intended to fall under within the scope of the present invention.
It should be understood that disclosed embodiment of this invention is not limited to processing step disclosed herein, and should prolong
Reach the equivalent substitute for these features that those of ordinary skill in the related art are understood.It is to be further understood that use herein
Term be only used for describing the purpose of specific embodiment, and be not intended to limit.
" one embodiment " or " embodiment " mentioned in specification means special characteristic, the structure described in conjunction with the embodiments
Or during characteristic is included at least one embodiment of the present invention.Therefore, the phrase " reality that specification various places throughout occurs
Apply example " or " embodiment " same embodiment might not be referred both to.
While it is disclosed that embodiment as above, but described content only to facilitate understand the present invention and adopt
Embodiment, it is not limited to the present invention.Any those skilled in the art to which this invention pertains, this is not being departed from
On the premise of the disclosed spirit and scope of invention, any modification and change can be made in the implementing form and in details,
But the scope of patent protection of the present invention, still should be subject to the scope of the claims as defined in the appended claims.
Claims (9)
1. a kind of man-machine interaction method for intelligent robot, this method comprises the following steps：
Receive multi-modal input data and parse, talk with reference to context, it is determined that topic information corresponding to current man-machine interaction, institute
Stating topic information includes main topic and corresponding sub-topic information, wherein, the sub-topic is multiple direct attributes of main topic
One of；
With reference to the topic information, it is determined that current interaction is intended to；
It is intended to reference to current interaction, selection and the main topic or sub-topic of current topic information association, with reference to the association
Main topic or sub-topic and the interaction are intended to, and generation dialogue is replied data and exported, and data are replied in the dialogue includes pin
The reply content being intended to current interaction and the active push content generated according to the main topic or sub-topic of association.
2. according to the method for claim 1, it is characterised in that
The topic information is that the topic collection of illustrative plates that knowledge based collection of illustrative plates structure binding entity information is built determines.
3. method according to claim 1 or 2, it is characterised in that in the main topic of selection association or sub-topic step,
It is determined that after actualite information, according to remaining main topic and the topic temperature of sub-topic, or in active user's history
The frequency occurred in chat record, select the main topic or sub-topic of association.
4. according to the method for claim 1, it is characterised in that this method also includes：
Current round user is parsed to the main topic of push or the multi-modal feedback information of the dialogue output data of sub-topic；
The main topic or the feedback result of sub-topic, the main topic or son of adjustment or holding next round dialogue are talked about according to user
Topic.
5. a kind of man-machine interactive system for intelligent robot, the system includes following module：
Topic determining module, it receives multi-modal input data and parsed, talks with reference to context, it is determined that current man-machine interaction pair
The topic information answered, the topic information include main topic and corresponding sub-topic information, wherein, the sub-topic is main topic
Multiple directly one of attributes；
Interaction is intended to determining module, and it is with reference to the topic information, it is determined that current interaction is intended to；
Talk with output data generation module, it combines current interaction and is intended to, selection and the main topic of current topic information association
Or sub-topic, it is intended to reference to the main topic or sub-topic of the association and the interaction, generation dialogue is replied data and exported,
Data are replied in the dialogue includes being directed to the reply content and given birth to according to the main topic or sub-topic of association that currently interaction is intended to
Into active push content.
6. system according to claim 5, it is characterised in that
The topic information is that the topic collection of illustrative plates that knowledge based collection of illustrative plates structure binding entity information is built determines.
7. the system according to claim 5 or 6, it is characterised in that
The dialogue output data generation module, it is further it is determined that after actualite information, according to remaining main topic and son
The topic temperature of topic, or the frequency occurred in active user's history chat record, select the main topic or son words of association
Topic.
8. system according to claim 5, it is characterised in that the system also includes：
Topic adjusting module, it parses current round user to the main topic of push or the multimode of the dialogue output data of sub-topic
State feedback information；The main topic talked with according to user to the main topic or the feedback result of sub-topic, adjustment or holding next round
Or sub-topic.
9. a kind of cloud server, it is characterised in that possess the man-machine interactive system as any one of claim 5~8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711044549.0A CN107870994A (en) | 2017-10-31 | 2017-10-31 | Man-machine interaction method and system for intelligent robot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711044549.0A CN107870994A (en) | 2017-10-31 | 2017-10-31 | Man-machine interaction method and system for intelligent robot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107870994A true CN107870994A (en) | 2018-04-03 |
Family
ID=61753568
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711044549.0A Pending CN107870994A (en) | 2017-10-31 | 2017-10-31 | Man-machine interaction method and system for intelligent robot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107870994A (en) |
Cited By (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108281047A (en) * | 2018-02-09 | 2018-07-13 | 深圳市小猪班克教育科技有限公司 | Interactive intelligent Story machine and its exchange method |
| CN108804603A (en) * | 2018-05-29 | 2018-11-13 | 北京灵智优诺科技有限公司 | Man-machine written dialogue method and system, server, medium |
| CN108874957A (en) * | 2018-06-06 | 2018-11-23 | 华东师范大学 | The dialog mode music recommended method indicated based on Meta-graph knowledge mapping |
| CN109036433A (en) * | 2018-07-27 | 2018-12-18 | 重庆柚瓣家科技有限公司 | Social auxiliary system and method based on AI |
| CN109033223A (en) * | 2018-06-29 | 2018-12-18 | 北京百度网讯科技有限公司 | For method, apparatus, equipment and computer readable storage medium across type session |
| CN109145104A (en) * | 2018-09-29 | 2019-01-04 | 北京百度网讯科技有限公司 | For talking with interactive method and apparatus |
| CN109284811A (en) * | 2018-08-31 | 2019-01-29 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device towards intelligent robot |
| CN109471948A (en) * | 2018-11-08 | 2019-03-15 | 威海天鑫现代服务技术研究院有限公司 | A kind of the elder's health domain knowledge question answering system construction method |
| CN109739605A (en) * | 2018-12-29 | 2019-05-10 | 北京百度网讯科技有限公司 | The method and apparatus for generating information |
| CN110008326A (en) * | 2019-04-01 | 2019-07-12 | 苏州思必驰信息科技有限公司 | Knowledge abstraction generating method and system in conversational system |
| CN110096191A (en) * | 2019-04-24 | 2019-08-06 | 北京百度网讯科技有限公司 | A kind of interactive method, device and electronic equipment |
| CN110222162A (en) * | 2019-05-10 | 2019-09-10 | 天津中科智能识别产业技术研究院有限公司 | A kind of intelligent answer method based on natural language processing and knowledge mapping |
| CN110290216A (en) * | 2019-06-28 | 2019-09-27 | 百度在线网络技术（北京）有限公司 | Monitor execution method, instruction delivery method, device, equipment and storage medium |
| WO2019214463A1 (en) * | 2018-05-07 | 2019-11-14 | 阿里巴巴集团控股有限公司 | Man-machine dialog method, client, electronic device and storage medium |
| CN110580282A (en) * | 2018-05-22 | 2019-12-17 | 阿里巴巴集团控股有限公司 | Method and device for interacting with customer service through simulation user |
| CN110598982A (en) * | 2019-08-07 | 2019-12-20 | 阿里巴巴集团控股有限公司 | Active wind control method and system based on intelligent interaction |
| CN110640757A (en) * | 2019-09-23 | 2020-01-03 | 浙江树人学院（浙江树人大学） | Multi-mode interaction method applied to intelligent robot and intelligent robot system |
| CN110688464A (en) * | 2019-10-12 | 2020-01-14 | 苏州思必驰信息科技有限公司 | Man-machine conversation method and system |
| CN110704596A (en) * | 2019-09-29 | 2020-01-17 | 北京百度网讯科技有限公司 | Topic-based conversation method and device and electronic equipment |
| CN110704703A (en) * | 2019-09-27 | 2020-01-17 | 北京百度网讯科技有限公司 | Man-machine conversation method and device |
| CN111026932A (en) * | 2019-12-20 | 2020-04-17 | 北京百度网讯科技有限公司 | Man-machine conversation interaction method and device, electronic equipment and storage medium |
| CN111048084A (en) * | 2019-12-18 | 2020-04-21 | 上海智勘科技有限公司 | Method and system for pushing information in intelligent voice interaction process |
| CN111052107A (en) * | 2018-06-25 | 2020-04-21 | 微软技术许可有限责任公司 | Topic guidance in conversations |
| WO2020087534A1 (en) * | 2018-11-02 | 2020-05-07 | Microsoft Technology Licensing, Llc | Generating response in conversation |
| CN111159380A (en) * | 2019-12-31 | 2020-05-15 | 腾讯科技（深圳）有限公司 | Interaction method and device, computer equipment and storage medium |
| CN111292743A (en) * | 2020-01-22 | 2020-06-16 | 北京松果电子有限公司 | Voice interaction method and device and electronic equipment |
| CN111651582A (en) * | 2020-06-24 | 2020-09-11 | 支付宝(杭州)信息技术有限公司 | Method and system for simulating user to speak |
| US10841755B2 (en) | 2017-07-01 | 2020-11-17 | Phoneic, Inc. | Call routing using call forwarding options in telephony networks |
| CN112214607A (en) * | 2020-09-07 | 2021-01-12 | 深圳市镜象科技有限公司 | Interactive method, psychological intervention system, terminal and medium based on artificial intelligence |
| CN113168832A (en) * | 2018-12-10 | 2021-07-23 | 亚马逊技术公司 | Alternating response generation |
| CN114144773A (en) * | 2019-08-01 | 2022-03-04 | 国际商业机器公司 | Adjusting conversational flow based on behavior in human-machine cognitive interactions |
| CN116049425A (en) * | 2022-11-04 | 2023-05-02 | 合肥中科前沿科技有限公司 | Robot interaction method based on RCS architecture |
| CN117408708A (en) * | 2023-11-09 | 2024-01-16 | 南方电网储能股份有限公司信息通信分公司 | Customer service center dispatching system based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101071418A (en) * | 2007-03-29 | 2007-11-14 | 腾讯科技（深圳）有限公司 | Chat method and system |
| CN101685454A (en) * | 2008-09-28 | 2010-03-31 | 华为技术有限公司 | Human-computer interactive method and system |
| CN105068661A (en) * | 2015-09-07 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Man-machine interaction method and system based on artificial intelligence |
| CN105931638A (en) * | 2016-04-26 | 2016-09-07 | 北京光年无限科技有限公司 | Intelligent-robot-oriented dialog system data processing method and device |
| CN106200962A (en) * | 2016-07-08 | 2016-12-07 | 北京光年无限科技有限公司 | Exchange method and system towards intelligent robot |
| CN107273477A (en) * | 2017-06-09 | 2017-10-20 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device for robot |
-
2017
- 2017-10-31 CN CN201711044549.0A patent/CN107870994A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101071418A (en) * | 2007-03-29 | 2007-11-14 | 腾讯科技（深圳）有限公司 | Chat method and system |
| CN101685454A (en) * | 2008-09-28 | 2010-03-31 | 华为技术有限公司 | Human-computer interactive method and system |
| CN105068661A (en) * | 2015-09-07 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Man-machine interaction method and system based on artificial intelligence |
| CN105931638A (en) * | 2016-04-26 | 2016-09-07 | 北京光年无限科技有限公司 | Intelligent-robot-oriented dialog system data processing method and device |
| CN106200962A (en) * | 2016-07-08 | 2016-12-07 | 北京光年无限科技有限公司 | Exchange method and system towards intelligent robot |
| CN107273477A (en) * | 2017-06-09 | 2017-10-20 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device for robot |
Cited By (50)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10841755B2 (en) | 2017-07-01 | 2020-11-17 | Phoneic, Inc. | Call routing using call forwarding options in telephony networks |
| US11546741B2 (en) | 2017-07-01 | 2023-01-03 | Phoneic, Inc. | Call routing using call forwarding options in telephony networks |
| CN108281047A (en) * | 2018-02-09 | 2018-07-13 | 深圳市小猪班克教育科技有限公司 | Interactive intelligent Story machine and its exchange method |
| WO2019214463A1 (en) * | 2018-05-07 | 2019-11-14 | 阿里巴巴集团控股有限公司 | Man-machine dialog method, client, electronic device and storage medium |
| US11366574B2 (en) | 2018-05-07 | 2022-06-21 | Alibaba Group Holding Limited | Human-machine conversation method, client, electronic device, and storage medium |
| CN110580282B (en) * | 2018-05-22 | 2023-06-13 | 阿里巴巴集团控股有限公司 | Method and device for interacting with customer service through simulation user |
| CN110580282A (en) * | 2018-05-22 | 2019-12-17 | 阿里巴巴集团控股有限公司 | Method and device for interacting with customer service through simulation user |
| CN108804603A (en) * | 2018-05-29 | 2018-11-13 | 北京灵智优诺科技有限公司 | Man-machine written dialogue method and system, server, medium |
| CN108804603B (en) * | 2018-05-29 | 2021-07-23 | 北京灵智优诺科技有限公司 | Man-machine written dialogue method and system, server and medium |
| CN108874957B (en) * | 2018-06-06 | 2022-02-01 | 华东师范大学 | Interactive music recommendation method based on Meta-graph knowledge graph representation |
| CN108874957A (en) * | 2018-06-06 | 2018-11-23 | 华东师范大学 | The dialog mode music recommended method indicated based on Meta-graph knowledge mapping |
| CN111052107A (en) * | 2018-06-25 | 2020-04-21 | 微软技术许可有限责任公司 | Topic guidance in conversations |
| US12021800B2 (en) | 2018-06-25 | 2024-06-25 | Microsoft Technology Licensing, Llc | Topic guiding in a conversation |
| CN109033223B (en) * | 2018-06-29 | 2021-09-07 | 北京百度网讯科技有限公司 | Method, apparatus, device and computer-readable storage medium for cross-type conversation |
| CN109033223A (en) * | 2018-06-29 | 2018-12-18 | 北京百度网讯科技有限公司 | For method, apparatus, equipment and computer readable storage medium across type session |
| CN109036433A (en) * | 2018-07-27 | 2018-12-18 | 重庆柚瓣家科技有限公司 | Social auxiliary system and method based on AI |
| CN109284811A (en) * | 2018-08-31 | 2019-01-29 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device towards intelligent robot |
| CN109145104A (en) * | 2018-09-29 | 2019-01-04 | 北京百度网讯科技有限公司 | For talking with interactive method and apparatus |
| WO2020087534A1 (en) * | 2018-11-02 | 2020-05-07 | Microsoft Technology Licensing, Llc | Generating response in conversation |
| CN109471948A (en) * | 2018-11-08 | 2019-03-15 | 威海天鑫现代服务技术研究院有限公司 | A kind of the elder's health domain knowledge question answering system construction method |
| CN113168832A (en) * | 2018-12-10 | 2021-07-23 | 亚马逊技术公司 | Alternating response generation |
| CN109739605A (en) * | 2018-12-29 | 2019-05-10 | 北京百度网讯科技有限公司 | The method and apparatus for generating information |
| CN110008326A (en) * | 2019-04-01 | 2019-07-12 | 苏州思必驰信息科技有限公司 | Knowledge abstraction generating method and system in conversational system |
| CN110096191A (en) * | 2019-04-24 | 2019-08-06 | 北京百度网讯科技有限公司 | A kind of interactive method, device and electronic equipment |
| CN110096191B (en) * | 2019-04-24 | 2021-06-29 | 北京百度网讯科技有限公司 | Man-machine conversation method and device and electronic equipment |
| CN110222162A (en) * | 2019-05-10 | 2019-09-10 | 天津中科智能识别产业技术研究院有限公司 | A kind of intelligent answer method based on natural language processing and knowledge mapping |
| CN110290216B (en) * | 2019-06-28 | 2022-05-13 | 百度在线网络技术（北京）有限公司 | Monitoring execution method, instruction issuing method, device, equipment and storage medium |
| CN110290216A (en) * | 2019-06-28 | 2019-09-27 | 百度在线网络技术（北京）有限公司 | Monitor execution method, instruction delivery method, device, equipment and storage medium |
| CN114144773A (en) * | 2019-08-01 | 2022-03-04 | 国际商业机器公司 | Adjusting conversational flow based on behavior in human-machine cognitive interactions |
| CN114144773B (en) * | 2019-08-01 | 2022-10-28 | 国际商业机器公司 | Adjusting conversational flow based on behavior in human-machine cognitive interactions |
| US11288459B2 (en) | 2019-08-01 | 2022-03-29 | International Business Machines Corporation | Adapting conversation flow based on cognitive interaction |
| CN110598982A (en) * | 2019-08-07 | 2019-12-20 | 阿里巴巴集团控股有限公司 | Active wind control method and system based on intelligent interaction |
| CN110640757A (en) * | 2019-09-23 | 2020-01-03 | 浙江树人学院（浙江树人大学） | Multi-mode interaction method applied to intelligent robot and intelligent robot system |
| CN110704703A (en) * | 2019-09-27 | 2020-01-17 | 北京百度网讯科技有限公司 | Man-machine conversation method and device |
| CN110704596A (en) * | 2019-09-29 | 2020-01-17 | 北京百度网讯科技有限公司 | Topic-based conversation method and device and electronic equipment |
| CN110704596B (en) * | 2019-09-29 | 2023-03-31 | 北京百度网讯科技有限公司 | Topic-based conversation method and device and electronic equipment |
| CN110688464A (en) * | 2019-10-12 | 2020-01-14 | 苏州思必驰信息科技有限公司 | Man-machine conversation method and system |
| CN111048084A (en) * | 2019-12-18 | 2020-04-21 | 上海智勘科技有限公司 | Method and system for pushing information in intelligent voice interaction process |
| CN111048084B (en) * | 2019-12-18 | 2022-05-31 | 上海智勘科技有限公司 | Method and system for pushing information in intelligent voice interaction process |
| CN111026932A (en) * | 2019-12-20 | 2020-04-17 | 北京百度网讯科技有限公司 | Man-machine conversation interaction method and device, electronic equipment and storage medium |
| CN111159380A (en) * | 2019-12-31 | 2020-05-15 | 腾讯科技（深圳）有限公司 | Interaction method and device, computer equipment and storage medium |
| CN111159380B (en) * | 2019-12-31 | 2021-04-27 | 腾讯科技（深圳）有限公司 | Interaction method and device, computer equipment and storage medium |
| CN111292743A (en) * | 2020-01-22 | 2020-06-16 | 北京松果电子有限公司 | Voice interaction method and device and electronic equipment |
| CN111292743B (en) * | 2020-01-22 | 2023-09-26 | 北京小米松果电子有限公司 | Voice interaction method and device and electronic equipment |
| CN111651582A (en) * | 2020-06-24 | 2020-09-11 | 支付宝(杭州)信息技术有限公司 | Method and system for simulating user to speak |
| CN112214607A (en) * | 2020-09-07 | 2021-01-12 | 深圳市镜象科技有限公司 | Interactive method, psychological intervention system, terminal and medium based on artificial intelligence |
| CN112214607B (en) * | 2020-09-07 | 2021-06-11 | 深圳市镜象科技有限公司 | Interactive method, psychological intervention system, terminal and medium based on artificial intelligence |
| CN116049425A (en) * | 2022-11-04 | 2023-05-02 | 合肥中科前沿科技有限公司 | Robot interaction method based on RCS architecture |
| CN116049425B (en) * | 2022-11-04 | 2023-09-22 | 合肥中科前沿科技有限公司 | Robot interaction method based on RCS architecture |
| CN117408708A (en) * | 2023-11-09 | 2024-01-16 | 南方电网储能股份有限公司信息通信分公司 | Customer service center dispatching system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107870994A (en) | Man-machine interaction method and system for intelligent robot | |
| CN108000526B (en) | Dialogue interaction method and system for intelligent robot | |
| KR101925440B1 (en) | Method for providing vr based live video chat service using conversational ai | |
| CN107704612A (en) | Dialogue exchange method and system for intelligent robot | |
| US20210191506A1 (en) | Affective interaction systems, devices, and methods based on affective computing user interface | |
| CN107797663A (en) | Multi-modal interaction processing method and system based on visual human | |
| CN107862000B (en) | A kind of agricultural technology consulting interactive method | |
| CN107301168A (en) | Intelligent robot and its mood exchange method, system | |
| CN107765852A (en) | Multi-modal interaction processing method and system based on visual human | |
| CN106096717B (en) | Information processing method towards intelligent robot and system | |
| CN107895577A (en) | Initiated using the task of long-tail voice command | |
| CN112818107B (en) | Conversation robot for daily life and chat method thereof | |
| CN107870977A (en) | Chat robots output is formed based on User Status | |
| CN108536681A (en) | Intelligent answer method, apparatus, equipment and storage medium based on sentiment analysis | |
| CN102298694A (en) | Man-machine interaction identification system applied to remote information service | |
| WO2018000268A1 (en) | Method and system for generating robot interaction content, and robot | |
| CN105244042B (en) | A kind of speech emotional interactive device and method based on finite-state automata | |
| CN109101663A (en) | A kind of robot conversational system Internet-based | |
| JP6076425B1 (en) | Interactive interface | |
| JP6366749B2 (en) | Interactive interface | |
| Huang et al. | Applied to mobile multimedia intelligent speech system interactive topic guiding model | |
| Yang et al. | User behavior fusion in dialog management with multi-modal history cues | |
| Justo et al. | Exploring ontologies to improve the empathy of interactive bots | |
| CN110491372A (en) | A kind of feedback information generating method, device, storage medium and smart machine | |
| CN115543090A (en) | Topic transfer method, topic transfer device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180403 |