40results about How to "Accurate reply" patented technology

The embodiment of the invention discloses a page access method, which comprises the following steps of: judging whether a target page to be accessed is a historical page, if the target page to be accessed is the historical page, acquiring a page resource and page data which correspond to the historical page and are stored during finishing of the access to the historical page, and accessing the historical page according to the acquired page resource and the acquired page data of the historical page. The embodiment of the invention also discloses a page access device. By the technical scheme of the embodiment of the invention, the historical page can be accessed under the condition that the page state during finishing of the access to the historical page is retained, so that the concurrency pressure of a server is reduced, the access operation time is shortened, and the overall page access efficiency is improved.

The invention relates to an intelligent question and answer method and device. The method includes: receiving user input information; acquiring the highest semantic similarity between the user input information and all the questions in a question and answer knowledge base, and obtaining a corresponding initial answer when the highest semantic similarity is greater than a preset similarity threshold; performing abstract semantic recommendation processing on the user input information according to an abstract semantic database when the initial answer includes a plurality of clauses, and the plurality of clauses at least correspond to more than two pieces of first pragmatic information, and then obtaining an abstract semantic expression corresponding to the user input information and the type of an abstract semantic, wherein the abstract semantic database includes a plurality of types of abstract semantics, and each type of abstract semantic has a corresponding second pragmatic information; and extracting a clause of the first pragmatic information corresponding to the second pragmatic information from the initial answer as a final result. The method can improve the accuracy rate of reply answers of the intelligent question and answer system, and improve the user experience.

The invention discloses an automatic chatting method and a chatting system among robots. A robot crowd consisting of at least two chatting sending and receiving robots is included, the chatting sending robot sends a conversation code and the chatting receiving robot receives and processes the conversation code. The automatic chatting method among the robots comprises the steps of: A, receiving the conversation code sent by the chatting sending robot; B, analyzing the conversation code and obtaining a content code and an attribute code of the chatting sending robot in the conversation code; and C, processing the obtained content code of the chatting sending robot, sending a replay conversation code to the chatting sending robot, processing the obtained attribute code of the chatting sending robot, and playing reply voice. The automatic chatting method has the advantages of strong logic interactivity, higher reply content accuracy, and better compatibility and extensibility, and is capable of realizing automatic chatting performance among the robots by programming.

The invention discloses an intelligent question-answering method and device based on federated learning, equipment and a storage medium, and the method is applied to terminal equipment, and comprisesthe steps: calling a local classification model based on the federated learning to determine the type of a to-be-consulted question when the to-be-consulted question is received; calling a local federated learning-based semantic comprehension model to retrieve each similar question corresponding to the question type to obtain a matching question corresponding to the to-be-consulted question; obtaining a reference answer corresponding to the matched question, and outputting the reference answer as a reply corresponding to the to-be-consulted question, wherein the classification model and the semantic comprehension model are respectively generated by executing federated learning algorithm training based on classification samples and semantic comprehension samples of the multi-party terminalequipment. According to the intelligent question and answer realized based on the federated learning classification model and the semantic comprehension model, the intelligent question and answer efficiency is improved through classification retrieval, and meanwhile, the question and answer accuracy and the security of data of each party are ensured.

Executing the steps of: receiving information of customer orders and information of prospect orders and storing into a received order database 20; dividing orders stored in said received order database 20 based on a reference master having various kinds of information about production materials registered therein, and storing the information of the orders which have been subjected to the division process to a received order division database 21; applying a process development to the orders which have been subjected to the division process, based on a basic unit master and storing into a process development database 22; specifying an optimum production starting date based on the information of orders which have been subjected to the process development and a production pattern stored in a production pattern database, performing loading, and storing results of the loading into a production planning database 23; and creating delivery date answer information, based on said optimum production starting date stored in the production planning database 23.

The invention discloses a dialogue generation system and a dialogue implementation method. According to the dialogue generation system provided by the embodiment of the invention, a neural network ofan encoder-decoder structure is adopted, double coding layers for a character level and a word level respectively are adopted in a coding layer, and information coded by the double coding layers is combined. Before a data set containing a dialogue target, related knowledge information and a dialogue sequence is encoded by an encoding layer, data sets for a character-level coding layer and a word-level coding layer are reconstructed respectively, the reconstructed data sets are input into double coding layers in a dialogue generation system for coding and combination respectively, the coded andcombined data sets are input into a decoding layer, and corresponding dialogue replies are generated by the decoding layer according to combined data set information by using a transformer model. Therefore, the accuracy and fluency of the generated corresponding dialogue reply are improved.

The invention discloses an effective method and system for context information transmission in intelligent robot chatting. The method can help the chat robot to realize accurate multi-round conversation. Context information stored in the system is updated in each round of chatting in real time by simulating a human dialogue process. Under the appropriate condition, the current round input of chatting combined with the current preceding text information, an instruction is generated, namely a function and parameters which can be executed by software are generated, and therefore the system synchronously updates the preceding text information which can be used by the chatting below while generating the current round reply. According to the method, a certain amount of training data is marked, namely part of training corpora is changed, a deep neural network model is indicated in an explicit mode, and when a user asks for questions, a robot replies and when there is the preceding text information, how to answer and reserve the preceding text information is achieved. The invention provides a plurality of practical data annotation schemes and a method for annotating corpora by using the data annotation schemes. Meanwhile, some sample application scenarios and related technical details are also provided.

The embodiments of the present application provide an intent classification method and device based on a business corpus and an intelligent question answering method. An intent consists of a category,a user question and a reply source. In the intent classification, the method comprises the steps of setting an intent category according to the business requirement; setting a user question matchingthe business requirement according to the intent category; and setting a reply source of the intent, the reply source being associated with a corresponding knowledge base, knowledge category or knowledge item in the business corpus, so that the intention and the business corpus are logically independent of each other, and form a corresponding relationship in the form of the user question and the reply source in the intent. After the corresponding relationship is established, the process of training an intelligent question answering system by using the business corpus becomes a process of intention training for the intelligent question answering system, so that the intelligent question answering system has the ability to accurately identify the user's intent from the user's problem after training, the reply to the question is more accurate and the reply friendliness of the intelligent question answering system is improved.

The invention relates to the technical field of network application, and provides a chat expression reply method and device, and a storage medium, and the method comprises the steps: S10, receiving achat message sent by a user; wherein the chat message comprises any one of a text message, a picture message and a voice message; S20, analyzing the chat message to obtain effective information; S30,judging the effective information, and matching an expression reply strategy according to a judgment result to obtain an expression reply result; and S40, sending the expression reply result to the user. In addition, the invention also provides a chat expression reply device and a storage medium. According to the technical scheme provided by the invention, the chat message sent by the user is automatically recognized, the optimized expression reply is intelligently matched, and the expression reply is accurate and reasonable, has diversity and interestingness, and is rich in expressive force.

The invention discloses an automatic drill bit restoration device and a control method thereof. A drill bit is driven by a motor to make elevating motion. The automatic drill bit restoration device comprises a fan-shaped part and an original-point detection sensor, wherein the fan-shaped part is driven by the motor to make rotating motion, and the original-point detection sensor is fixed on a drill bit base and used for detecting an end point of the fan-shaped part so as to judge whether the drill bit is restored to an original point; the original-point detection sensor outputs a detection signal to the controller, the controller controls the motor according to the detection signal of the original-point detection sensor so as to enable the drill bit to be restored to the original point. The drill bit base is provided with the original-point detection sensor and the fan-shaped part which is driven by the motor to make rotating motion, whether the drill bit is restored to the original point can be judged by detecting the end point of the fan-shaped part according to the original-point detection sensor, the automatic restoration of the drill bit after the drilling at every time can be realized, the accumulated error is reduced, and the accuracy of the drill bit original-point position and the traveling distance can be guaranteed.

A method is provided which allows a service to be enjoyed through a mobile telephone terminal without the need of paying for this service. This can be achieved by allowing a first subscriber to use the credit or subscription of a second subscriber. The subscriber identification cards at least of the two subscribers involved are provided with short range radio communication transceivers and establish a short range communication channel between them so that one card may request the other card to pay for this service and the other card may grant this request through this channel. Then the mobile telephone networks of the cards are informed of the granted request. Before, during and after the grant of the request, the subscriber identification cards remain active and operative in communicating together and with the associated terminals.

The invention provides a fingerprint identification method of an industrial control scanner based on honeynet data, comprising the following steps: scanning data captured through a honeypot network system in an industrial control network and an existing industrial control scanner are analyzed to obtain fingerprint information and a multi-classifier model of scanning data based on a CART decision tree is constructed. The multi-classification classifier model can effectively identify the specific scanning tools that initiate the scanning traffic and output the judgment probability of various scanner tags. After that, the output of the multi-classification classifier model will be used as the input data of the clustering algorithm. The clustering algorithm can discover the deeper relationshipbetween different scanning entities and form clustering. At the same time, the clustering algorithm can effectively extract scanning features of different clusters, form new scanner tags, and updatethem to the previous multi-classification decision tree, thereby improving the judgment ability of the invention for the novel scanner data.

The invention relates to a warp knitting machine guide bar return device. The return device is composed of a rack, wherein a machine head driving mechanism, a spring seat return mechanism and a knitting guide bar cradle mechanism are arranged on the rack; and the knitting guide bar cradle mechanism is composed of a guide bar hanging bracket, the lower end of the guide bar hanging bracket is connected with a guide bar cradle, the guide bar cradle is connected with a hanging bracket seat, the hanging bracket seat is provided with a movable guide bar hanging frame, the lower end of the guide bar hanging frame is fixedly connected with a guide bar, the upper end of the guide bar is fixedly connected with a guide bar plug seat, one side end of the guide bar plug seat is fixedly connected with one side end of the guide bar hanging frame, and one side towards the spring seat return mechanism, of the guide bar plug seat is provided with a draw hook and a head ball. By installing the head ball contacting with a mandrel in the machine head driving mechanism and the draw hook which is clamped with a steel wire rope in the spring return mechanism, in the guide bar plug seat, the mandrel and steel wire are ensured to be separately in a horizontal state and a vertical state relatively to the rack and the guide bar, the return of the guide bar is accurate and accidents such as the touch of the return pin and the tensile failure of the guide bar are avoided.

The present invention relates to Bi-Level optimization method for image deblurringso that the two levels of loss functions alternate model optimization, Bi- Level optimization mechanism is divided into two steps, the first step is to train a basic model with MSE loss condition, the second step is to use two-level loss iteration to fine-tune the model. This is because at the beginning of training,the divergence between the restoration effect and the clear image is large, and the effect of noise can be ignored, but at the end of training, the noise is amplified and the negative effect is more obvious, so the perceptual loss is introduced to suppress the noise and the MSE loss is changed to L1 loss to ensure the structural continuity sufficiently. The invention has the advantages of accuratetexture restoration and matching depth features with pixel values.

The invention discloses an emotional chat type reply generation method with theme perception. The method is characterized in that a generation model composed of an encoder, a theme perception module,an emotion perception module and a decoder is adopted; an external topic common sense introduced into a generation model is fused with two attention mechanisms, semantic and emotion information of a session is effectively captured by using hidden variables under a variational auto-encoder framework, and an emotion reply with topic perception is generated. Compared with the prior art, the method has the advantages that the generated session and the input session are better in topic correlation; according to the method and the device, the reply which better conforms to the preset emotion category can be generated, the reply with emotion can be more accurately generated, the generated reply and the input session can be ensured to be under the same session theme, two attribute requirements ofa conversation system are simultaneously met, and the method and the device have wider practical significance.

The present invention provides an information retrieving apparatus and the like which replies a search result accurately to a question from the user.In the present invention, sentence information of a sentence in collected documents is stored, information of a questioning sentence from the user is received from a terminal 2, the questioning sentence from the user is decomposed into segments (S10), documents having common arc segments are extracted from segments in the questioning sentence from the user, the documents are compared with the questioning sentence, and a leaf segment missing in the questioning sentence is retrieved (S12 to S16), and the search result is transmitted to the terminal 2 (S19).

The invention relates to the field of power monitoring systems, and more particularly to a power outage information monitoring system. The system is formed by collecting power outage information by acollection system, transmitting the same to a data processing system for processing, and transmitting data after processing to a monitoring system. The monitoring system consists of a power outage monitoring module, a system management module, a power outage information template maintenance module and a report form statistic module. Efficiency of staffs can be improved, automation of data statistics and analysis is realized, the enterprise manpower costs can be reduced, and thus teams and groups are enabled to have more energy for other business work.

An apparatus for detecting a phase of an input signal includes: a phase detector unit for detecting the phase of the input signal referring to a plurality of clock signals having different phases and for outputting a plurality of phase detection results, wherein each of the phase detection results represents a candidate phase of the input signal and corresponds to one of the clock signals; and a phase decision unit, coupled to the phase detector unit, for determining the phase of the input signal according to the phase detection results.

The invention relates to an automatic control system for silicothermic process semicontinuous magnesium smelting furnace burden calcination. The automatic control system can precisely calculate the deviation and control the temperature output value. The automatic control system comprises a computer (1), a D / A converter (2), a retaining appliance (3), an execution mechanism (4), an A / D converter (5), a sampling apparatus (6) and a transmission signal measuring mechanism (7). The automatic control system is characterized in that closed-loop control is adopted in the automatic control system. The automatic control system has the advantages of avoiding the conditions that a past open-loop control system is generally poor in control performance, the activity degree cannot be adjusted, and the calcination temperature and time cannot be tracked, and achieving action system stability.

The invention relates to an intelligent question and answer method and device. The method includes: receiving user input information; acquiring the highest semantic similarity between the user input information and all the questions in a question and answer knowledge base, and obtaining a corresponding initial answer when the highest semantic similarity is greater than a preset similarity threshold; performing abstract semantic recommendation processing on the user input information according to an abstract semantic database when the initial answer includes a plurality of clauses, and the plurality of clauses at least correspond to more than two pieces of first pragmatic information, and then obtaining an abstract semantic expression corresponding to the user input information and the type of an abstract semantic, wherein the abstract semantic database includes a plurality of types of abstract semantics, and each type of abstract semantic has a corresponding second pragmatic information; and extracting a clause of the first pragmatic information corresponding to the second pragmatic information from the initial answer as a final result. The method can improve the accuracy rate of reply answers of the intelligent question and answer system, and improve the user experience.

The invention relates to a neutral point control device for a plunger pump, wherein the neutral point control device is installed on a tray and connected to the plunger pump on the tray, the plunger pump is equipped with a rotating shaft that is connected to an adjusting mechanism, the adjusting mechanism drives the rotating shaft to rotate to adjust the oil circuit movement direction of the plunger pump, the plunger pump is in an idle state when the shaft is rotated to the neutral position, an energy storage mechanism is included and is connected to the rotating shaft, the rotating shaft drives the energy storage mechanism to run and potential energy is stored in the energy storage mechanism when the adjustment mechanism adjusts the rotation of the rotating shaft, and the release of the potential energy in the energy storage mechanism drives the rotating shaft to return to the neutral position when the adjustment mechanism cancels the adjustment of the rotation of the rotating shaft.The invention has a novel structure, reasonable layout and stable operation, can realize the control of neutral point of the rotating shaft of the plunger pump, has the advantages of convenient installation, accurate accuracy and long service life, and meets current requirements for use.

The invention discloses a license entity extraction method and system based on deep learning, belongs to the field of natural language processing, and aims to solve the technical problem of how to improve the accuracy of license nouns and handling behaviors in an intelligent question and answer service and ensure more accurate reply to questions so as to improve the service quality and the satisfaction degree of a user. According to the technical scheme, the method specifically comprises the following steps: generating a training data set; training a BiLSTM-CRF model for extracting the license nouns and the affair handling behavior entities; and testing the training effect of the BiLSTM-CRF model. The system comprises a generation module, a training module and a test module. The training module is used for training a BiLSTM-CRF model extracted by a license noun and an affair handling behavior entity; the BiLSTM-CRF model is divided into three layers, the first layer is an Embedding layer, and each word in a sentence is mapped into a low-dimensional dense word vector from a one-hot vector by using a pre-trained or randomly initialized embedding matrix; the second layer is a bidirectional LSTM layer for automatically extracting sentence features; and the third layer is a CRF layer for performing sequence labeling of statements.

The invention provides an intelligent response method and a device based on data processing, computer equipment and a storage medium. The method comprises the steps of receiving a request sentence; inputting the request sentence into a reply model for operation to generate a plurality of reply candidate sentences and first scores corresponding to the reply candidate sentences one by one to obtaina reply candidate set; matching the reply candidate set with a blacklist to remove reply candidate sentences matched with the blacklist to obtain a first reply subset; processing each reply candidatesentence in the first reply subset through a similarity matching module and / or a length excitation module and / or a fluency detection module, so that the first score of each reply candidate sentence ischanged into a second score, and obtaining a second reply subset; processing the second reply subset through a diversity detection module to obtain a third reply subset; and extracting a reply candidate sentence from the third reply subset as a reply sentence of the reply request sentence and outputting the reply sentence, thereby improving the accuracy of intelligent reply.

The embodiment of the invention discloses a processing method and device for solving intelligent customer service dialogue context, which are applied to an intelligent customer service system, and the method comprises the following steps: extracting an entity and an attribute of a question statement sent by a user side, and taking the extracted content as context information; the method comprises the following steps: supplementing a current question sent by a current user by using context information extracted according to a question statement in the same session; taking the supplemented sentences and the original sentences as user questions to inquire the intelligent customer service system; wherein the original sentence is the current question which is not supplemented; the method has the advantages that statements generated by a user in the session process are abstracted into description of entities and attributes, so that a complex natural language problem is reasonably simplified, complementation of a current question is achieved through context information under the same session, and therefore the user experience is improved under the condition that many extra workloads do not need to be operated. And the context identification accuracy is improved.