24 results about "Informative content" patented technology

The invention provides a work-based media resource publishing method, a work-based media resource display method and a work-based media resource display device, and belongs to the technical field of computers. The work-based media resource publishing method comprises the following steps: displaying a creation entrance on a playing interface of a target work; displaying an image in the target work in the creation interface in response to a triggering operation on the creation entrance; displaying a plurality of first media resources under the condition that first prompt information is obtained based on the creation interface; and in response to a release operation on any first media resource, releasing the first media resource in the comment area of the target work. According to the technical scheme, secondary creation can be simply and conveniently carried out on any image in the works to obtain a plurality of media resources with rich contents; furthermore, any media resource can serve as the comment to be published in the comment area of the works, the comment does not need to be manually input, the operation of publishing the comment is simplified, richer comment content can be provided, and the man-machine interaction efficiency is improved.

A parcel tracking system comprises at least one detection device (1), provided with a containment body (2), a processing unit (4) housed in said containment body (2), a first, brightness, sensor (6), a second sensor (7), for detecting environmental parameters, a third, acceleration, sensor (9), and a fourth, localization, sensor, each configured to detect a respective first, second, third or fourth parameter. The system further comprises a remote server (11) and a remote electronic device (21) provided with a user interface module (22). The processing unit (4) of the detection device (1) is configured to send to the server (11) and / or to the electronic device (21) one or more signals having an informative content representative of the values of said first, second, third and fourth parameter. The electronic device (21) and / or the remote server (11) is configured to perform a processing cycle which envisages receiving one or more signals, comparing the value of the first, second, third and fourth parameters with the respective alarm thresholds, and recording, in a specific memory space, at least an identification data, representative of an adverse event, upon each exceedance of the alarm threshold by the relative first, second or third parameter.

The invention discloses a data processing method based on a large language model and a related product. The data processing method comprises the steps of collecting original text data; extracting a semantic tag of the original text data; generating a plurality of associated texts related to the semantic tag; and combining the semantic tag and the corresponding multiple associated texts to construct a semantic annotation data set. According to the method and the device, the semantic tag in the text data can be extracted, and the multiple associated texts related to the extracted semantic tag can be generated. Thereafter, a plurality of associated costs are combined with semantic tags, and a semantic annotation data set with rich and diversified contents can be constructed, so that the constructed semantic annotation data set can provide sufficient context information. Therefore, when data processing is carried out, the large language model can utilize rich context semantic information to solve problems caused by ambiguity of words, and the semantic offset problem caused by ambiguity of words in data enhancement is effectively solved.

The invention provides an article generation method and device and a medium, and the method comprises the steps: generating an article rewriting instruction based on a knowledge type contained in an original article and / or supplementary knowledge content under the knowledge type, and the original article; and inputting the article rewriting instruction into a large language model to obtain a rewritten article output by the large language model. According to the method, the device and the medium provided by the invention, through the automatic article generation and rewriting process, the content production efficiency is greatly improved, the time and energy required by manual writing are reduced, and the method is particularly efficient under the condition that a large number of articles need to be quickly output. And secondly, relying on the powerful natural language processing capability of a large language model and a wide knowledge base, a high-quality article with a reasonable structure, rich content and clear logic can be generated, and the accuracy and specialty of the article content are ensured.

The invention relates to a Vietnamese abstract guide story generation method based on multiple agents and a Monte Carlo decision tree, and belongs to the technical field of natural language processing. In order to solve the problem that story generation is thin and repeated due to the low-resource characteristic of Vietnamese, a double-stage optimization framework is put forward and comprises the steps that firstly, a model is decomposed into four agents including cross-language conversion, role setting, plot planning and story writing through a multi-agent cooperation module, and a role background, a plot outline and a first draft are generated step by step; and iteratively optimizing the first draft through a Monte Carlo decision tree module, evaluating and modifying suggestions based on a reward function, and selecting an optimal story version. Experiments show that the method significantly improves the continuity, fluency and content richness of the generated stories, and solves the templating problem caused by insufficient deep semantic understanding of low-resource languages.

The invention discloses an information generation method and device based on a large language model, a storage medium and a refrigeration equipment system, and belongs to the technical field of artificial intelligence. According to the task processing type, the multi-modal generation type large model is used for processing the user input data, the multi-modal generation type large model comprises a data fusion module, an encoder module, an enhancement module and a result generation module, the data fusion module is used for receiving the user input data and fusing the user input data into text data; the encoder module is used for encoding the data output by the data fusion module, and the enhancement module is used for performing text enhancement according to external knowledge, the data with context features output by the encoder module and the data output by the data fusion module. And the result generation module is used for generating information according to the data output by the encoder module and the data output by the enhancement module, so that the information generation accuracy and content richness of the model can be improved.

The present application discloses a data search method, device and electronic device, which can be applied to the field of big data or finance. Obtain the content to be searched, and determine the initial search results of the content to be searched, generate a pre-constructed linked list, determine the knowledge information matching the initial search results from the linked list, and use it as the target knowledge information, perform inclusion relationship analysis on the target knowledge information and the associated knowledge information corresponding to the target knowledge information, so as to determine the associated information display results of the initial search results, use the initial search results and the associated information display results as the search results of the content to be searched, and display them. That is, in the present invention, in addition to displaying the initial search results of the content to be searched, the associated information display results of the initial search results are also displayed. Compared with the method of only displaying the initial search results, the richness of the displayed content is improved, the problem of single search results is avoided, and the user's search needs are met.

The invention discloses a dialogue recommendation method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps of obtaining at least one historical dialogue statement; generating a first answer statement according to the at least one historical dialogue statement through a dialogue recommendation model, the first answer statement including a recommendation object for the at least one historical dialogue statement; a second answer statement is generated through a dialogue recommendation model according to the first answer statement and entity vocabularies which are obtained from an external knowledge source and related to the recommendation object, and the second answer statement comprises the first answer statement and an emotional answer statement for the recommendation object. According to the method, the recommendation object conforming to expectation and preference of the user is generated, the accuracy of the recommendation object is improved, emotional resonance between the recommendation object and the user is considered, the content richness of the second answer statement is improved, and the emotional sharing ability of the dialogue recommendation model for the user demand is enhanced, so that the persuasion of the recommended dialogue is enhanced.

This invention relates to the technical fields of machine question answering, and provides a human-like AI robot intelligent dialogue method and system. The method includes: in an idle state, calling a local lightweight large language model to determine the semantic validity of the speech-recognized text; if the determination is valid, extracting voiceprint features to establish a conversation and switching to a working state; in the working state, determining the semantic priority of the speech-recognized text, with high-priority text immediately interrupting the current task, and low-priority text inserted into a waiting queue for sequential response. This invention overcomes the shortcomings of existing technologies, such as single interaction mode, poor anti-interference ability, and inability to intelligently handle concurrent requests, achieving natural, fluent, stable, and reliable intelligent dialogue interaction in complex environments. The dual-model architecture of a local lightweight large language model and a cloud-based large language model ensures real-time semantic determination and low latency, guarantees the intelligence and richness of the generated responses, and achieves a balance between efficiency and effectiveness.

The invention provides a retrieval enhancement cue word optimization method for text-to-video generation. The retrieval enhancement cue word optimization method comprises the following steps: extracting features of input brief prompts through a pre-trained sentence conversion model; performing cosine similarity calculation on the features of the brief prompt and the relational graph, and retrieving a modifier set most related to the brief prompt from the relational graph according to a calculation result; processing the brief prompts and the modifier set by adopting a double-branch optimization strategy to obtain candidate prompts; and comparing and selecting the candidate prompts generated by the two branches through a fine-tuning discrimination model to obtain an optimal prompt. According to the method, the problem that brief prompt information is insufficient is solved, and the content richness, picture details and action coherence of the generated video can be remarkably improved through optimized prompt.

The invention provides an information processing method and electronic equipment, and the method comprises the steps: obtaining the historical behavior information of a user for audio and video contents; based on the historical behavior information, generating a target image corresponding to a first target song and a target playing entrance corresponding to a second target song; and in response to a publishing instruction of a user, publishing publishing information including the target image and the target playing entrance. According to the method and the device, the historical behavior information of the user for the audio and video can be converted into the personalized and visual target image and the target playing entrance so as to be published, so that the published target image can be automatically generated according to the behavior information of the user for the audio and video in the past, the image generation function in a community is enriched, and the user experience is improved. And the publishing process is simplified, and the use threshold of the user is reduced, so that the publishing willingness of the user in the community is improved, and the content richness in the community is also improved. And meanwhile, the personalized degree of content generation is also improved.

The present invention provides a text summary generation method and system based on reinforcement learning, and relates to the technical field of automatic text summary generation. The present invention obtains and preprocesses the original text and standard summary of the source text; obtains a pre-trained model and a summary sequence based on the original text in the pre-processed source text and a seq2seq model; samples the summary sequence through the pre-trained model to obtain a sampling sequence; samples the standard summary through a greedy algorithm to obtain a standard sequence; calculates the loss function through the sampling sequence and the standard sequence, updates the parameters of the pre-trained model, repeats the above steps until the loss function converges, and obtains a summary generation model. When training the model, the present invention fully considers the losses of the ROUGE-1 indicator, the ROUGE-2 indicator, and the ROUGE-L indicator, thereby avoiding unnecessary repetition and content richness problems when using the summary generation model to generate a summary, and the generated summary has better fluency and readability and higher quality.

The invention discloses a teaching method and device based on recorded and broadcast videos, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining the recorded and broadcast videos of a teaching course; subtitles in the recorded and broadcast video are extracted; generating a teaching outline of the recorded video according to the subtitles; generating a teaching script according to the teaching outline; and playing the recorded video by using the teaching script. The teaching program and the teaching script are generated according to the recorded and broadcast video of the teaching course, and then the recorded and broadcast video is played, so that the content richness and interactivity of the recorded and broadcast video are greatly improved.

The application provides a point reading system and device, and belongs to the technical field of computers.The point reading system provided by the application has multiple functions, can realize detection and identification of objects through target detection technology, can detect and identify text through text processing, and then displays the identified content to the user, realizes intelligent detection and identification, and can be used without specific teaching materials, is rich in content, breaks the content limitation, and the point reading system can detect the gesture operation of the user, so as to provide the gesture operation of the user to realize the point reading service, is simple and flexible to operate, reduces the use difficulty, adds the interestingness, and also can play a better guiding role.In addition, the point reading system has good expansibility, can be directly used, does not need to purchase related teaching materials, has good applicability, improves the education quality, has a relatively high popularization rate, well balances the uneven resource allocation and the uneven education quality, and greatly reduces the cost.

A method includes encoding a set of hierarchical text prompts to define a set of text embeddings, where the set of hierarchical text prompt defines a primary informative prompt and a secondary informative prompt associated with the primary informative prompt. The method further includes encoding an input image to define a plurality of feature representations, changing a value of one or more identified feature representations among the plurality of feature representations to mask the one or more identified feature representation and define a general feature representation of the input image based on a class-specific threshold indicative of boundary between a class-specific feature and a general feature. The method further includes classifying the input image based on an out-of-distribution (OOD) score determined using a similarity analysis of the general feature representation and the set of text embeddings.

The invention provides a chromatographic ring comment atlas generation method, device and equipment, and an information acquisition method, device and equipment wherein the chromatographic ring comment atlas generation method comprises the following steps: acquiring first comment information of a first object in a target resource library; target dimension information of the first comment information is determined, the target dimension information comprises at least one of the following dimension information: emotion dimension information, popularity dimension information and completion dimension information, and the emotion dimension information is used for representing the emotion tendency degree of the first comment information; the popularity dimension information is used for representing the approval degree of the first comment information, and the completion dimension information is used for representing the content richness degree of the first comment information; and generating a chromatographic ring comment map of the first object according to the target dimension information, wherein a first color value of the chromatographic ring comment map corresponds to the first comment information. In this way, the display effect of the first comment information is enhanced.

The application relates to a subjective question intelligent marking method and system based on natural language processing, and relates to the technical field of data processing. A separator in test paper information is acquired, the test paper information is divided into a plurality of clauses by using the separator, corresponding text coefficients and separator coefficients are acquired, the test paper information is re-divided by using the text coefficients and the separator coefficients, each clause after re-division is subjected to word segmentation processing and syntax analysis processing to acquire corresponding word segmentation results and sentence block structures, reference answer information and word similarity and sentence similarity between the reference answer information and the test paper information are acquired, and test paper scores of examinees are acquired according to the word similarity and the sentence similarity. The application can reflect the content richness of test paper information of examinees and the use frequency of separators, is beneficial to acquiring targeted test paper scores, and can effectively evaluate the answering conditions of examinees for test paper questions.

The invention provides an intelligent book recommendation system and method based on library reader behavior analysis, and belongs to the technical field of intelligent recommendation. A semantic migration mode dictionary representing a knowledge exploration path is extracted by analyzing book semantic association in historical borrowing affairs and retrieval sessions; recommendation is not limited to similarity matching any more, readers are guided to find new knowledge in related fields and break information cocoon rooms, then various behavior modes, including borrowing, reservation and collection behaviors and generated real-time interest anchor point vectors, of the readers can be captured and fused in real time, a recommendation system can dynamically respond to current interest changes, and further, the recommendation efficiency is improved. Through matching and superposition of the individual interest anchor points and the group semantic migration mode, diffusion interest vectors which conform to the current individual interest and are fused into group knowledge exploration experience are generated, so that a final recommendation list not only has personalized characteristics, but also contains interdisciplinary and exploratory contents, and the recommendation diversity is enriched.

This invention provides an intelligent book recommendation system and method based on library reader behavior analysis. In the field of intelligent recommendation technology, this invention analyzes the semantic associations of books in historical borrowing transactions and retrieval sessions to extract a semantic transfer pattern dictionary representing knowledge exploration paths. This allows recommendations to move beyond simple similarity matching and guide readers to discover new knowledge in relevant fields, breaking down information silos. Secondly, it can capture and integrate multiple reader behavior patterns in real time, including borrowing, reservation, and collection behaviors, generating real-time interest anchor vectors that enable the recommendation system to dynamically respond to changes in current interests. Furthermore, by matching and overlaying individual interest anchors with group semantic transfer patterns, it generates diffused interest vectors that both match individual current interests and incorporate group knowledge exploration experience. This results in a final recommendation list that not only has personalized features but also includes interdisciplinary and exploratory content, enriching the diversity of recommendations.

A computer-implemented, machine learning method for aspect-based summarization. Aspect candidates are extracted from documents. The aspect candidates are filtered by a disambiguation technique that uses different aspect granularity levels. Informative contents are extracted based on the filtered aspect candidates. A summarization technique is implemented to generate summaries for a plurality of document-aspect pairs from the informative contents. An aspect- based summary is generated based on the summaries. The method has applications including, but not limited to, use cases in medicine / healthcare, public safety, cyberthreat intelligence and other artificial intelligence applications for document summarization.

The invention discloses an intelligent subjective question marking method and system based on natural language processing, and relates to the technical field of data processing. Obtaining separators in the test paper information, dividing the test paper information into a plurality of clauses by using the separators, obtaining corresponding character coefficients and separator coefficients, and re-dividing the test paper information by using the character coefficients and the separator coefficients, performing word segmentation processing and syntactic analysis processing on each re-divided clause to obtain a corresponding word segmentation result and a sentence block structure, obtaining reference answer information and word similarity and sentence similarity between the reference answer information and the test paper information, and obtaining a test paper score of the examinee according to the word similarity and the sentence similarity; the content richness degree of the test paper information of the examinee and the use frequency condition of the separators can be reflected, the targeted test paper score can be obtained, and the answer condition of the examinee to the test paper question can be effectively evaluated.

The embodiment of the invention provides an information display method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that a plurality of information items are displayed on a first interface, different information items correspond to different information summary contents, and the information summary contents are summary contents generated based on at least one reference content; displaying associated information of information summary content corresponding to the information item based on the information item, wherein the associated information comprises a content identifier and reference content information; and in response to a content display operation for a first information summary content in the different information summary contents, displaying the first information summary content. According to the technical scheme, the related content of the information summary content can be displayed based on the information item, and the display mode of the information item and the display mode of the information summary content are enriched.

An automatic calibration system (1) for smart equipment configured for load handling. The automatic calibration system comprises a clamp (2) in turn comprising a hydraulic actuator (3) for load movement and at least one pair of movable jaws (4), by means of the hydraulic actuator (3), between a first operating configuration in which the jaws (4) are spaced apart from each other and a second operating configuration in which the jaws (4) are brought closer together. The clamp (2) is configured to generate a first signal (s1) representative of at least a first operating parameter (P1) identifying a pressure exerted by the hydraulic actuator (3) in an operating condition. The calibration unit (5) is provided with a sensitive element (6) and configured to detect at least a second operating parameter (P2), identifying a force exerted by the clamp (2), with the sensitive element (6) interposed between the jaws (4) and with the hydraulic actuator (3) in the operating condition. The calibration unit (5) receives the first signal (S1) from the clamp (2) and associates at least one value of at least a second operating parameter (P2) with a corresponding value of at least a first operating parameter (P1). The calibration unit (5) generates a second signal (S2) having a first informative content representative of the association between the value of the first operating parameter (P1) and the second operating parameter (P2) and sends the second signal (S2) to the clamp (2). The clamp (2) is configured to drive the hydraulic actuator (3) as a function of the first informative content.

This paper discloses a method for generating semantically rich dialogues that integrates visual context. Challenging audiovisual scene perception datasets are collected for model training. The overall model, based on the Transformer, designs and implements a multi-step cross-modal attention mechanism, capturing heterogeneous semantic associations between different modalities in spatiotemporal dimensions in a fine-grained manner. Multimodal feature representations are then jointly constructed into a spatiotemporal graph structure, which is then used for cross-modal learning and reasoning using a graph convolutional network. Finally, the method decodes and generates rich and accurate dialogue responses that are consistent with the current context. By integrating multimodal data and conducting cross-modal interactions, the present invention captures multi-angle, fine-grained, progressive feature interactions and semantic associations between modalities, achieving visual-language cross-modal semantic alignment, improving the model's semantic understanding and reasoning capabilities, and ultimately generating informative and high-quality responses.