40 results about "Question asking" patented technology

The invention discloses an intelligent question and answer processing method and device, equipment and a storage medium. When the method provided by the embodiment of the invention is executed, the intelligent question and answer model can firstly obtain the questioning question to be processed and identify the real-time performance of the question. Wherein if the answer to the question changes with time, the question is a real-time question, or if the answer to the question needs to be replied based on the update information, the question is also a real-time question. And if the problem is a real-time problem, generating a preliminary reply to the problem. And then evaluating the confidence coefficient of the preliminary reply based on question and answer data in a knowledge base associated with the intelligent question and answer model. If the confidence coefficient is greater than or equal to a confidence threshold value, directly outputting the preliminary reply; on the contrary, if the confidence coefficient is smaller than a confidence threshold value, outputting a rejection answer or an uncertainty, and obtaining a question reply of the questioning question obtained based on the RAG query. The response accuracy and the resource utilization efficiency of the intelligent question and answer are improved.

The invention provides an assessment interview method and device for enterprise employees and a storage medium, and the method comprises the steps: determining an initial problem in a preset assessment interview problem library based on the post type and historical performance data of the enterprise employees; questioning by using the initial question so as to receive answer information of the enterprise employees; determining the semantic integrity of the answer information; if the semantic integrity is smaller than a preset integrity threshold value, generating a question-chasing question of the initial question according to a semantic element type missing in the answer information; asking questions by utilizing the question-asking questions to receive supplementary answer information of the enterprise employees; and according to the answer information, supplementing the answer information, and determining an assessment interview evaluation result of the enterprise employees. According to the method and the device, the questioning content can be adjusted according to the post types and the historical performance data of the enterprise employees, and the questioning can be selectively performed according to the answer information of the enterprise employees, so that the questioning of the assessment interviews is more accurate and deep, and the accuracy of the result obtained by the assessment interviews is improved.

The invention relates to an intelligent deep questioning method and system, and belongs to the technical field of natural language processing and intelligent evaluation. The method comprises the following steps: acquiring a candidate response, converting the candidate response into a standardized text, analyzing the text in combination with multi-dimensional monitoring data, positioning competency missing elements, generating a missing identification set, and marking a sorting question-chasing point; constructing a dynamic self-adaptive score matrix in which competency is linked with a questioning point, fusing monitoring data to calibrate scores and confidence, and generating a questioning technology intervention scheme; a virtual interviewer role library is preset, roles are dynamically matched, and the intervention logic and the missing identification set are combined to generate specialized questioning content; and when the core element capability element characterization is insufficient or the confidence coefficient does not reach the standard, generating a target element cognition questioning problem, and after element extraction and fusion, outputting a multi-dimensional competency score and a confidence coefficient report. According to the invention, the upgrading of the questioning from mechanical questioning to intelligent technical intervention is realized, the questioning targeting and the evaluation accuracy are improved, and reliable support is provided for accurate talent selection.

There is provided a computer implemented method of dynamic generation of audio content of a panel including questions asked by a moderator and responses by responders, comprising: accessing user interest(s) of a target user, accessing a social network graph that includes the target user, selecting questions correlated with the user interest(s) of the target user, selecting responses to questions by responders, wherein the responders are linked to the target user in the social network graph, wherein the responders are associated with user interests correlated with the user interest(s) of the target user, dynamically assembling audio content(s) from voice records and / or from audio recordings generating by converting text to voice, each audio content including a sub-set of the selected questions and a sub-set of the responses, and providing dynamically assembled audio content(s) for selection thereof for playing on a speaker.

The invention provides a knowledge question and answer method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving a question input by a user, generating a question vector corresponding to the question according to the question, determining a target corpus vector matched with the question vector from a preset first database according to the question vector, and sending the target corpus vector to the user; determining a target corpus vector, determining an identifier of the target corpus vector as a target corpus identifier, determining a knowledge type corresponding to the target corpus identifier from a corpus data table in a preset second database according to the target corpus identifier, and according to the knowledge type corresponding to the target corpus identifier and a target corpus, determining a knowledge type corresponding to the target corpus identifier from a knowledge data table corresponding to the knowledge type in the second database, and obtaining query knowledge information, generating reply information corresponding to the question according to the query knowledge information, and pushing the reply information to the user. Therefore, interactive personalized question and answer service can be provided for the user, and the question and answer efficiency and accuracy are improved.

An object of the system according to the embodiment is to quickly and appropriately answer questions asked by students in a recorded class video.SOLUTION: A system includes a question input unit, an analysis unit, an answer generation unit, and a provision unit. The question input part inputs a question from the student. The analysis unit analyzes the question input by the question input unit. The answer generation unit generates an answer based on the question analyzed by the analysis unit. The providing unit provides the answer generated by the answer generating unit to the student.SELECTED DRAWING: Figure 1

The objective is to provide a program and information processing device that efficiently support learning specifically for qualification exams where past exam questions are highly valued. [Solution] The system includes a past question data acquisition unit that acquires past question data containing textual information about past questions asked in qualification exams, a necessary knowledge data generation unit that generates necessary knowledge data which is textual information about the knowledge needed to answer the questions in the acquired past question data, and an important knowledge data generation unit that generates important knowledge data which is textual information about common knowledge from a plurality of necessary knowledge data generated from each of a plurality of past question data, wherein at least one of the necessary knowledge data generation unit or the important knowledge data generation unit is configured to generate information based on a pre-trained model that has been trained in advance by inputting at least knowledge data which is textual information containing the knowledge necessary to pass the qualification exam.

The invention provides a method and a device for improving recall capability of an RAG system. The method comprises the following steps: S1, carrying out structured analysis on a document; s2, performing semantic hierarchical segmentation on the document content by adopting a multi-scale semantic partitioning strategy to generate a multi-granularity index unit; s3, performing semantic enhancement and optimization on the query based on a query rewriting strategy of a large language model; and S4, combining the optimized query with the multi-scale semantic index, and executing a retrieval and generation task. According to the multi-scale semantic chunk strategy, the similarity is calculated by applying a vector model, knowledge is divided into a plurality of blocks with different semantic information, and the vector representation capability is enhanced. An LLM-based question rewriting strategy can effectively identify intention words and keywords in user query, and particularly for a multi-question question, the multi-question question can be split into a plurality of independent sub-questions for multi-path recall. According to the method, the accuracy and efficiency of intelligent query in the vertical field can be remarkably improved, and the query experience of a user is improved.

A processing device (10) comprises: a question extraction unit (11) that, using an LLM (20), extracts, from a plurality of dialogues between an expert and a user, questions asked by the expert in order to elicit information from the user; a proposal extraction unit (12) that, using the LLM (20), extracts, from the plurality of dialogues, proposals made by the expert in order to solve the problem of the user; a structuring unit (13) that, using the LLM (20), converts a dialogue between the expert and the user into a flow having information indicating a question, the user's answer to the question, and the proposal accepted by the user; and a chart construction unit (14) that statistically constructs, on the basis of a plurality of the flows, one flowchart indicating the tacit knowledge and judgment of the expert.

The application provides a large model-based intelligent question and answer method and system, which mainly proceeds from two aspects: 1, through accurate question classification and matching of different answering strategies, the answering efficiency and quality of the system are effectively improved. 2, in the "guess you want to ask" question recommendation link, the relevance and logicality of the dialogue context are fully considered, and an intention attenuation coefficient is introduced to calculate the weight of the recommended question, so as to improve the accuracy of the recommendation result. For standard answering type questions, the system searches and matches effective, concise and accurate answers in the database; for non-standard answering type questions, the system generates detailed and comprehensive answer content through the RAG method. In the recommendation process of the "guess you want to ask" question, the relevance and logicality of the current question and the historical dialogue of the user are comprehensively considered, and the current intention of the user is described through the intention attenuation coefficient, and accordingly the weight of the recommended question is adjusted, and then the rationality and accuracy of the recommendation result are improved.

The application relates to an intelligent question and answer method in the field of wind power, which comprises the following steps: acquiring knowledge documents in the field of wind power, and generating question and answer pairs according to the knowledge documents, which are saved in a vector database after being vectorized; wherein the knowledge documents are divided into short documents and long documents according to length, an information constraint mechanism is established for the short documents, so that the generated question and answer pairs are limited within the range of original information; for the long documents, a two-stage memory processing strategy of a focused dialogue mechanism is adopted; a user's question is acquired, the question is vectorized, and a hybrid retrieval mechanism is adopted to combine fusion sorting to retrieve multiple question and answer pairs in the vector database corresponding to the question; according to the user's question, a prompt word is constructed, input into a large language model, and based on the intermediate output result of the large language model of each question and answer pair combined with the prompt word and the intermediate output result of the large language model of the prompt word input alone, a final answer output corresponding to the question is obtained by integration.

This invention discloses a question-and-answer method, apparatus, and related equipment for case acceptance scenarios. The method receives the current case cause and case description information input by the user, and performs multi-dimensional feature recognition on the case description information to obtain multi-dimensional case feature tags; based on the case feature tags and the current case cause, it extracts corresponding question content from a pre-set question database; based on the case feature tags, it performs guided transformation on the question content to obtain guided questions; it receives the user's answer content input based on the guided questions, and performs semantic parsing on the answer content to obtain key case information; it stores the key case information in a structured manner and matches it with the core information items corresponding to the current case cause, determining the information completeness based on the information matching results; and it determines whether to continue questioning based on the information completeness. This method sets up multi-dimensional feature recognition for judicial case acceptance scenarios, which can comprehensively reflect the information quality of the parties' answers.

To provide a system for preventing a new graduate or a former graduate from failing to make a proper answer at the time of interviewing because of insufficient self-PR or corporate research in job hunting.SOLUTION: A specific processing part 290 of a data processor 12 in this system, when receiving an input of a company name and business type information desired by a user, collects a URL of a news article related to the received company name / business type, analyzes text data, and extracts an important keyword from the news article by using a natural language processing technology. Then, expected interview questions are generated and stored on the basis of the extracted keywords and company information. Then, the questions generated in the mock interview format are sequentially displayed to the users, the answers of the users to the questions are analyzed, and feedback is generated and displayed. Further, a question asked by the user in the actual interview is added to the database and reflected on the update of the next question.SELECTED DRAWING: Figure 2

Methods and systems provide for extracting engaging questions from a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session; extracts, from the transcript, utterances including one or more sentences spoken by the participants; identifies a subset of the utterances spoken by a subset of the participants associated with a prespecified organization; extracts engaging questions within the subset of utterances, the engaging questions each including a question asked by the participant associated with the organization that is immediately answered in the following utterance by a participant not associated with the organization; and presents, for display at one or more client devices, data corresponding to the extracted engaging questions.

The invention discloses an intelligent question and answer method and device, a storage medium and computer equipment, and relates to the technical field of digital medical treatment and the technical field of financial science and technology. Comprising the steps that question description information input through a target question asking object is received, and whether first answer information matched with the question description information exists or not is inquired in cached historical question and answer information; if first answer information matched with the question description information exists in the cached historical question and answer information, feeding back the first answer information to the target question asking object; if the first answer information matched with the question description information does not exist in the cached historical question and answer information, question complexity is determined based on the question description information, a target scale large model matched with the question complexity is selected, the target scale large model is called to generate second answer information corresponding to the question description information, and the second answer information corresponds to the question description information. And feeding back the second answer information to the target question asking object.

The system according to this embodiment aims to provide a curriculum tailored to the learner's objectives and level, and to realize a real-time question-answering system and an environment where learning is possible 24 hours a day. [Solution] The system according to this embodiment comprises a generation unit, a lecture unit, a question response unit, and a learning unit. The generation unit automatically generates a curriculum tailored to the learner's objectives and level. The lecture unit conducts lectures based on the curriculum generated by the generation unit. The question response unit answers questions asked during the learning session in real time. The learning unit is accessible 24 hours a day.

This application provides an intelligent answering method, apparatus, device, and medium based on interactive follow-up questioning, applicable to the financial or healthcare fields. The method includes: receiving a question to be answered and generating multiple candidate answers; calculating the overall uncertainty scalar value of all candidate answers based on a preset uncertainty identification model, and determining whether the uncertainty scalar value is lower than a preset threshold; if not lower, determining the uncertainty type based on the preset uncertainty identification model; generating a target follow-up question based on the question to be answered, multiple candidate answers, and uncertainty type based on a preset follow-up question generation model, and sending it to a client; receiving the target answer returned by the client and updating the question to be answered until the overall uncertainty scalar value of the regenerated candidate answers is lower than the preset threshold, then selecting the optimal answer from among the multiple regenerated candidate answers according to a preset answer selection rule and sending it to the client. This addresses the problem of model overconfidence.

The invention discloses a hybrid teaching evaluation optimization system and method based on real-time communication, relates to the technical field of intelligent teaching, and can fuse bullet screen text and student face image information in an online teaching process to construct a multi-modal emotion evaluation mechanism. A first credibility index is generated by acquiring a network delay value and performing nonlinear attenuation processing, a second credibility index is generated in combination with response time delay and historical activeness of students to questions asked by teachers, and the second credibility index is coupled with basic biological weights corresponding to course types to generate a dynamic weight coefficient. And weighted fusion of the text and the biological emotion data is realized. The method can effectively adapt to the change of a communication environment, improves the accuracy and timeliness of emotion recognition, achieves the early warning feedback based on a dual-threshold mechanism, and facilitates the improvement of the teaching interaction quality of a large-scale live classroom.

The invention relates to the technical field of computers, in particular to an AI model matching method and device. The method comprises the steps of obtaining text data of a question asked by a user; determining a text task difficulty coefficient and a text task category based on the text data; based on the text task category, determining a final proxy AI model; determining a model reward based on the satisfaction degree of a user feedback result and a text task difficulty coefficient under the final agent AI model; and the model reward is sent to the final creator of the proxy AI model, so that the matching efficiency of the AI model can be improved on the premise of realizing the market value of the AI creator.

The invention relates to the technical field of electric digital data processing, in particular to a problem recommendation method and device based on user tags and a medium. The method comprises the following steps: in response to the ending of a current round of question and answer between a first large model and a target user and before the beginning of a next round of question and answer between the first large model and the target user, inputting a candidate tag, context content and a first preset prompt word of the target user into a second large model, the second big model outputs a plurality of recommended questions in the next round of questions and answers; the context content is obtained according to a question asked by the target user to the first large model in previous rounds of questions and answers and an output result of the question asked by the first large model to the target user; and displaying a plurality of recommended questions in the next round of questions and answers output by the second large model in a dialog box of the first large model to assist the target user to ask questions to the first large model in the next round. According to the method and the device, the accuracy of recommending the questions to the user can be improved.

A business negotiation evaluation method to be executed by an information processing device includes: acquiring voice data related to a business negotiation; extracting, from the voice data, a duration of product explanation, a timing to acquire personal information, details of questions asked when acquiring the personal information, and a timing to utilize the personal information for proposals during the business negotiation; and calculating and presenting information related to the duration and quantitative data related to the personal information.

The application discloses a demand analysis and dynamic follow-up question method and system based on cognitive reasoning, comprising the following steps: A1, collecting student multi-round question texts and preprocessing to obtain preprocessed word segmentation sequences; A2, sequentially calculating hidden state features, semantic correlation features and semantic coherence features, and extracting basic context state features; A3, calculating enhanced word features; constructing a cognitive evolution attention network, extracting semantic evolution path features, and combining the basic context state features to decode and generate a thinking track language description; A4, calculating semantic openness features; then constructing a dynamic follow-up question threshold adaptive mechanism to generate candidate follow-up questions; A5, integrating the candidate follow-up questions and the thinking track language description, and performing integrity checking and backup operations. The application can solve the problems of the traditional education AI question mode solidification, the lack of logical deduction of the multi-round thinking path of children, and the resulting poor feedback.

A test case generation support system 30 comprising an arithmetic unit 31 that executes: open-ended response generation processing for generating an open-ended response corresponding to an open-ended question for a predetermined topic which requires a response by inputting the open-ended question to a trained model 47; first closed-ended question generation processing for generating a first closed-ended question by inputting the open-ended question and the open-ended response to the trained model 47, the first closed-ended question asking whether the open-ended response is correct or incorrect and requiring that the open-ended response is correct as a correct answer; and second closed-ended question generation processing for changing a topic portion of the first closed-ended question by a predetermined algorithm and generating a second closed-ended question asking whether the changed topic portion is correct or incorrect.

The invention provides an interview question generation method and device based on a knowledge graph, equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining post knowledge information of a workplace post and character job application information of candidates; constructing a post knowledge graph according to the post knowledge information, and constructing a figure portrait knowledge graph according to the figure job application information; generating a post interview question according to the post knowledge graph, the figure portrait knowledge graph and the large language model; and under the condition that the post interview question answering result does not meet the post requirements of the workplace posts, according to the post interview question answering result and the large language model, generating a target post interview questioning question. According to the technical scheme, the post knowledge graph and the figure portrait knowledge graph are constructed, then the post interview questions are generated, dynamic analysis is performed based on the post interview questions, and finally the post interview question answering results of the candidates are determined based on the post interview questions to dynamically generate the target post interview questions.

The invention discloses an AI interview method and system based on a multi-modal large model. The method comprises the steps that 1, an interview problem is automatically generated through a problem generation module; 2, in the process that the user answers the question, recording the voice and video of the user through an interview recording module, and sending the voice and video to an answer analysis module; 3, an answer analysis module analyzes the answer of the user to the interview question, and quantitatively scores the question answer condition of the user based on the scoring dimension; step 4, performing comprehensive analysis on the interview process by a scoring and questioning generation module, and generating questioning questions; and 5, performing comprehensive score calculation according to all questions answered by the user, generating an interview report, and sending the interview report to the HR. The invention relates to the technical field of artificial intelligence, and can solve the existing technical problems.

The application discloses an interview method and device based on a video interview system, relates to the technical field of artificial intelligence, and mainly aims at reducing the possibility of artificial review of interview results and improving interview efficiency. The main technical scheme of the application is as follows: obtaining recruitment requirements of a target post, resume information of a candidate and a post evaluation result; generating a current interview question based on a capability item of the recruitment requirements and asking the candidate the question so as to collect, through a video interaction collection module, the answer content of the candidate to the current interview question and facial emotional information when the candidate answers; determining the effectiveness of the current answer according to the answer content and the facial emotional information; determining a target question determination strategy in a question follow-up strategy and a question promotion strategy according to whether the answer effectiveness meets preset effectiveness requirements, and determining a next interview question according to the target question determination strategy until a preset question asking deadline requirement is met; and generating an interview result based on all the interview questions, the answer content and the answer effectiveness.

An evaluation procedure for business negotiations, to be carried out by an information processing organization, includes: capturing speech data relating to a business negotiation; extracting from the speech data the duration of the product explanation, the time chosen to obtain personal information, details of the questions asked when obtaining the personal information, and the time chosen to use the personal information for proposals during the business negotiation; and calculating and presenting information relating to the duration and quantitative data relating to the personal information.

A method, an apparatus, an electronic device, and a computer-readable storage medium for processing live streaming information. The method includes: presenting at least one question of a live streaming and an answering function entry corresponding to the at least one question; each question being obtained by aggregating questions asked by at least two viewers in a live streaming room of a host; presenting, in response to an answering operation for a target question triggered based on the answering function entry, a receiving process of corresponding answer information; and transmitting, in response to an answering completion instruction for the target question, the received answer information of the target question to a viewer end.

An object of a system according to an embodiment is to propose an optimum hobby to a user and to guide the user to how to start the hobby and a purchase channel for necessary tools.SOLUTION: A system includes a question execution part, a hobby suggestion part, a procedure guide part, and a purchase channel guide part. The question execution unit makes a pre-question to the user. The hobby suggestion unit suggests an optimal hobby based on the answer obtained by the question execution unit. The procedure guidance unit guides a specific procedure for starting the hobby suggested by the hobby suggestion unit. The purchase channel guide part guides a purchase channel of a tool necessary for starting a hobby.SELECTED DRAWING: Figure 1