109 results about "Word processing" patented technology

The invention discloses a large model-based government affair knowledge retrieval method, apparatus and device, and a medium, and relates to the technical field of natural language processing, and the method comprises the steps of performing information extraction on a to-be-processed government affair work order through a preset government affair large model to obtain target structured information; based on a word processing fusion algorithm constructed by a word frequency-inverse document frequency algorithm and a graph sorting algorithm, performing word processing on the target structured information to obtain work order keywords; converting the work order keyword into a target semantic vector; performing retrieval operation on a preset government affair knowledge base by utilizing a preset retrieval condition and the target semantic vector to obtain a target government affair knowledge document; the preset retrieval condition is a retrieval condition constructed based on time, space and the work order emergency degree. Therefore, the information accuracy and the processing efficiency can be improved through word processing; and in combination with retrieval conditions constructed based on time, space and work order emergency degrees, accurate retrieval can be provided, and the processing effect on various complex government affair work orders is improved.

The invention provides a CAD file summary information automatic extraction method and device, a medium and a product, and relates to the technical field of computer picture word process.The method comprises the steps that a target CAD file is analyzed through a CAD file analysis development tool, and first word information and geometric attribute information corresponding to the first word information are obtained; retrieving the first character information according to the retrieval keyword to obtain second character information; according to the corresponding geometric attribute information in the second text information, carrying out positioning adjustment display through a CAD file analysis development tool to obtain a picture file; calling a first large language model to perform character recognition and arrangement processing on the picture to form a text list; and calling the second large language model to obtain summary information of the target CAD file according to a preset prompt template and the text list. According to the scheme, when a large batch of CAD files are processed, the processing efficiency is remarkably improved.

The embodiment of the invention provides a cue word processing method and device.The cue word processing method comprises the steps that in the cue word generating process, labeled data and data labels are input into a large language model through an intelligent agent for labeling rule recognition, and labeling rules are obtained; and inputting the labeled data and the labeling cue word containing the labeling rule into a large language model for data labeling processing to obtain a data labeling result, comparing the data labeling result with a data label, and updating the labeling rule according to the comparison result to obtain a target labeling rule after reinforcement learning is completed, and generating a target annotation prompt word based on the target annotation rule.

Wake-word processing by a wearable electronic device could be carried out when the device is worn by a user and is in a device sleep state, the device including a linear microphone array having at least two microphones vertically spaced from each other, and the device also including a processor. And the example method could involve (i) the at least two microphones of the linear microphone array receiving an audio waveform representing a wake-word utterance, (ii) the processor making a determination, based at least on an angle of arrival of the audio waveform at the at least two microphones of the linear microphone array and / or an energy level of the audio waveform received at the at least two microphones of the linear array, of whether to accept the wake-word utterance or rather to reject the wake-word utterance, and (iii) the processor controlling operation of the device based on the determination.

The invention relates to the technical field of intelligent interface generation, in particular to an interactive interface generation method and system, computer equipment and a medium. The method comprises the following steps: receiving a multi-protocol interaction request, and extracting natural language context information carried in the multi-protocol interaction request through a protocol processing layer; according to the natural language context information, executing cue word processing to generate interface generation trigger judgment; when the interface generation trigger judgment indicates that an interface needs to be generated, generating an interface mode definition instance based on the natural language context information and a preset cue word template; and according to the interface mode definition instance, generating an interactive interface through a rendering output device. In this way, the technical problem that in an existing interface generation technology based on natural languages, it is difficult to collaboratively optimize the interface dynamic adaptation capacity and the system expansibility is solved, and the intelligent level, cross-platform compatibility and service response agility of interface generation are improved.

The invention provides a technology trend prediction method and device, a computer system and a medium, and aims to excavate key technology evolution trends in various technical fields and identify future hot topics. The method comprises the following steps: performing document matching on generalized topics of various technical fields based on a highly cited document database, and extracting documents related to the generalized topics; performing text preprocessing on the literature under the generalized theme, wherein the text preprocessing comprises field proper noun standardization, word segmentation, stop word processing and word form merging and text vectorization; adopting an LDA topic clustering model to perform detailed topic clustering on the pre-processed literature, generating a keyword set and keyword contribution degrees, and condensing the keyword set and the keyword contribution degrees into detailed topics; and training and predicting the popularity data of the detailed theme over the years based on a Chronos time sequence model, and identifying the detailed theme with high popularity in the future.

The invention relates to the technical field of intelligent gateways, in particular to a method and system for automatically expanding intelligent router plug-ins through LLM. The method comprises the steps that a user describes a plug-in function requirement of the intelligent router in a natural language through voice or text input equipment; and the cloud preprocessing service carries out character conversion processing on the voice data, carries out contradiction check and invalid information filtering on natural language requirements, extracts structured requirement information and inputs the structured requirement information to the cloud big language model. According to the intelligent router plug-in development method and system, the problems that in traditional intelligent router plug-in development, the manual intervention degree is high, the process is long and compatibility is insufficient are effectively solved by constructing an automatic system with the cloud large language model and the multi-service module cooperating. Through cooperation of multiple technical modules, a full-automatic process covering demand input, code generation, engineering integration, test verification and terminal deployment is constructed, and the intelligent router plug-in development efficiency and quality are remarkably improved.

The invention provides a cue word processing method, device and equipment, belongs to the technical field of artificial intelligence, and solves the problems that manual design of cue words is low in efficiency, lacks data verification and cannot be updated and iterated. The method comprises the steps of obtaining a first cue word and task rule data; processing the first cue word and the task rule data to obtain a second cue word; acquiring first induction strategy data; determining a third cue word and an error result set according to the first induction strategy data and the second cue word; and determining a target cue word according to the third cue word and the error result set. According to the scheme, automatic generation and closed-loop self-evolution of the cue word are realized, and the task suitability and stability are improved.

The embodiment of the invention discloses a conference information processing system and a terminal, and belongs to the technical field of computers. The system comprises a terminal, a server and an edge device, the terminal is used for carrying out voice-to-word processing on the audio data of the conference to obtain a transliteration text corresponding to the audio data; the terminal is also used for determining target equipment from the server and the edge equipment based on the confidentiality level of the conference; sending the transliteration text to the target device; the server is used for processing the transferred text under the condition of receiving the transferred text to obtain a conference summary of the conference; sending the conference summary to the terminal, and displaying the conference summary by the terminal; the edge device is used for processing the transferred text under the condition of receiving the transferred text to obtain a conference summary of the conference; and sending the conference summary to the terminal, and displaying the conference summary by the terminal. According to the system, the conference information processing process is intelligently and efficiently realized through cooperation of the multi-terminal equipment, and manual arrangement of a user on the transferred text is avoided.

The invention provides a cue word processing method and device, equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the fields of large models, big data, intelligent search and the like. According to the specific implementation scheme, multiple pieces of sample data are obtained, wherein the sample data comprise search problems belonging to a target field and target categories of the search problems; based on the multiple pieces of sample data, determining classification standard information conforming to each preset category in the target field; based on the plurality of candidate categories of each search question and the classification standard information of the candidate categories, splicing to obtain an initial cue word of each search question; the initial prompt word is used for indicating a category which the search problem conforms to is determined from a plurality of candidate categories; the plurality of candidate categories are at least partial categories in a plurality of preset categories; detecting the initial cue word of each search question to obtain a total detection result which is used for evaluating the cue effect of the initial cue word of each search question so as to adjust the initial cue word based on the total detection result.

Techniques and systems are disclosed that perform content generation with integrated automated formatting using word processing applications that deploy large language models (LLMs). The techniques include receiving, a natural language (NL) query for a synthetic content for a document, identifying formatting rules of the document, and generating an augmented query that includes a representation of at least a portion of the NL query and a representation of the one or more formatting rules of the document. The techniques further include providing the augmented query to an LLM and updating the document with the synthetic content generated by the LLM in response to the augmented query.

The invention provides a large model calculation method and device oriented to a low GPU resource card group calculation system. The method comprises the steps that parameters of a part of a large language model are unloaded into a CPU memory in the GPU resource card group calculation system; obtaining a reasoning request, wherein the reasoning request comprises a batch processing size and a sequence length; in the cue word processing stage, whether the sequence length is larger than two times of the dimension of a hidden layer of the large language model or not is judged, and if yes, the calculation intensity of all attention layers and all multi-layer perceptron of the large language model is calculated; judging whether the calculation intensity of all the attention layers is greater than that of the multi-layer perceptron or not, if yes, unloading all the attention layers in a GPU video memory and unloading all the multi-layer perceptron in a CPU memory, and if not, unloading all the multi-layer perceptron in the GPU video memory and unloading all the attention layers in the CPU memory; and using the unloaded GPU resource card group computing system to run the large language model for reasoning to obtain a reasoning result of the reasoning request.

The invention discloses a conference summary transcription method and system based on multilevel semantic analysis, relates to the technical field of word processing, and solves the technical problem that conference summary generated in the prior art cannot ensure the overall accuracy and the front and back logic smoothness. The method comprises the following steps: 1, collecting a preliminary conference summary document, and verifying the identity of a spokesman in a conference process; 2, dividing the conference summary document into sub-documents according to the discussion theme and the agenda of the conference, and giving corresponding sub-themes for the sub-documents; 3, processing each sub-document in sequence, and evaluating the accuracy of the sub-documents after processing is completed; 4, after each sub-document is processed, adjacent speaks between the sub-documents serve as transition speaks, and the overall accuracy of the corrected conference summary document is further evaluated by evaluating the association strength of the transition speaks; according to the method, the conference summary is evaluated and adjusted from coarse to fine and then from fine to coarse, and multi-level analysis ensures that the content of the conference summary is logically smooth before and after.

The application discloses a to-do task generation method and device, and relates to the technical field of speech recognition. The method comprises the following steps: segmenting a recording audio signal and extracting features of the recording audio signal to obtain recording audio segment features; grouping the recording audio segment features based on similarities in a similarity matrix, and taking the recording audio segment features in each recording audio segment feature group as a cluster; calculating the similarity between the clusters based on the similarity matrix; clustering based on the similarity between the clusters to obtain a clustering tree; assigning a speaker label based on the clustering tree to obtain a target recording audio signal segment, and then performing speech-to-text processing on the target recording audio signal segment to obtain text content corresponding to the target recording audio signal segment; dynamically constructing a prompt word based on a keyword table, a historical task template and the text content; taking the text generation type as a task type corresponding to a preloaded model; and generating a to-do task by using a task generation model according to the prompt word. In this way, the efficiency of to-do task generation is improved.

The invention discloses a method and system for integrating retrieval and enhancing generation ability, and the method comprises the steps: S1, building a basic SQL set, and enabling each basic SQL to correspond to a preset business intention and to comprise a placeholder condition field; s2, establishing a mapping relation between fields and noun types; s3, performing intention analysis by using a large language model, and matching a basic SQL; s4, performing query condition reasoning, extracting specific nouns, and executing expansion word generation and compound word processing; s5, generating a complete SQL according to rule driving; s6, executing the SQL and dynamically correcting a query result to enable the query result to meet a context length requirement; and S7, inputting the question and result combination into the large language model to generate an answer. The method does not need a vector database, adapts to a small parameter model, is low in cost and high in real-time performance, and can be widely applied to various traditional service systems needing to integrate the AI dialogue ability.

The invention relates to the technical field of crossing of artificial intelligence and software engineering, and discloses an AI generation code recognition method based on a multi-modal feature fusion model, which comprises the following steps of: obtaining global features of a method source code sample to be recognized, and performing word processing on the whole source code by adopting a sub-word level word processing strategy; distinguishing the sub-words based on the sub-word types to realize sub-word level separation modeling of the code stream and the annotation stream; carrying out fusion through bidirectional cross attention to obtain window-level local semantic representation; splicing the window-level text local representation and the method-level global feature to obtain a window-level fusion vector; inputting the window-level fusion vector into a classifier to obtain a window-level probability set; when the maximum probability in the window-level probability set is larger than a threshold value during prediction, the method is judged to be AI code generation, and otherwise, the method is judged to be human compiled code. According to the method, the generalization ability of the model can be improved, and the detection ability of local AI generated fragments and the engineering application feasibility are improved.

The present application provides a method and device for detecting outliers in text data, relating to the field of text processing technology. The method can obtain a first benchmark sentence element and a benchmark threshold based on the sentence elements in the to-be-processed sentence set of target text data; obtain a preliminary sentence set based on the first benchmark sentence element, the benchmark threshold, and the to-be-processed sentence set; obtain an intersection sentence set corresponding to the preliminary sentence set based on the benchmark threshold and the preliminary sentence elements contained in the preliminary sentence set; obtain a fusion topic feature value based on the intersection sentence elements contained in the intersection sentence set; determine the outlier sentence elements of the target text data based on the first similarity value between the topic of the edge sentence elements contained in the edge sentence set and the fusion topic feature value; the edge sentence set is determined based on the elements in the preliminary sentence set excluding the intersection sentence set and the first benchmark sentence element. The method can detect outliers in text data and improve the overall quality of text data.

The invention discloses a cue word processing method, system and device based on a medical image and a medium, and the method comprises the steps: obtaining a medical image data set, and carrying out the data balance processing according to the medical image data set, and obtaining a balanced data set; extracting image features according to the balanced data set, and calculating a complexity score according to the image features; for the first image of which the complexity score is greater than a first threshold value, automatically generating a first cue word according to the image feature of the first image, and updating a segmentation result of the first image by using the first cue word; and for the second image of which the complexity score is greater than a second threshold value, updating the segmentation result of the second image according to a second prompt word provided by the user. According to the method, the generalization performance of the model in different modes is balanced, flexible cue words are provided, the manual annotation cost is effectively reduced, and the accuracy of the medical model in facing a complex segmentation problem is remarkably improved.

The invention provides a document content analysis method and device based on structural analysis and a program product, and relates to the technical field of document intelligent processing. The document content analysis method comprises the steps that serial number pre-analysis and style pre-analysis are conducted on an XML document; processing a main document file of the XML document, reading block-level elements one by one according to a natural sequence defined in the XML document, and distributing the elements to corresponding specialized analysis sub-modules; a specialized content analysis sub-module is used for conducting deep analysis and structure reconstruction on the XML document, and a Markdown format document is generated; in the whole analysis process, embedded resource processing is synchronously carried out on the XML document. According to the method, high-precision, high-efficiency and low-resource-consumption structured conversion of the complex document is realized, and the method is particularly suitable for performing high-fidelity content extraction and structure reconstruction on a word processing document adopting an Office Open XML (Extensible Markup Language) standard.

The application provides an advertisement putting method and system based on big data, and relates to the technical field of advertisement putting.The method comprises the following steps: obtaining text description information of a plurality of advertisements to be put; determining a K value in a K-means clustering algorithm based on the text description information of the plurality of advertisements to be put by using a text processing model; clustering the text description information of the plurality of advertisements to be put based on the K-means clustering algorithm and the K value in the K-means clustering algorithm to obtain K clusters; determining a plurality of target putting advertisements based on the K clusters; and putting the target putting advertisements to users, so that the method can accurately screen out advertisements that are interesting to users.

The present disclosure relates to the field of natural language processing technology and can be applied to the fields of financial public opinion monitoring, compliance review, and risk prevention and control. It provides a multimodal sensitive word processing method, device, storage medium, and computer equipment, including: obtaining information to be published, the information type of which includes at least one of images, text, audio, and video, and a pre-built knowledge base; identifying sensitive words in the information to be published based on a large language model and a sensitive word knowledge base to obtain an identification result; when there is sensitive content in the information to be published, determining corresponding replacement information based on the enterprise-level knowledge base, and the replacement information is used to replace the sensitive content in the information to be published to obtain the target published information; when there is no sensitive content in the information to be published, determining the information to be published as the target published information. This embodiment realizes automated compliance review of cross-modal content, effectively reduces the cost of manual review, and improves the accuracy and timeliness of sensitive information processing.

The invention provides an enterprise cloud office agent driven by a project knowledge base and performance, and belongs to the technical field of agents, and the enterprise cloud office agent specifically comprises a cue word generation module which is responsible for carrying out data annotation by using historical input data and carrying out cue word generation processing, an input data acquisition module which is responsible for obtaining input data of a user, and a cue word processing module which is responsible for processing the cue word generation processing. The user input module is responsible for obtaining user input data, the knowledge base calling module is responsible for carrying out calling processing on a knowledge base according to the matching condition of the user input data and cue words and outputting data processing requirements according to calling processing results, and the data processing module is responsible for automatically carrying out calling processing on a plurality of service modules based on the data processing requirements. And a data processing result is generated, so that cooperative processing among different service modules is realized.

The application discloses a product word processing method and device, equipment, medium and product. The method comprises the following steps: performing word segmentation processing on a commodity title to obtain a plurality of ordered segmented words, and forming a segmented word sequence; calculating the data distance between the semantic feature vector of each segmented word and the semantic feature vector of the commodity title, and taking the data distance as the similarity score of each segmented word; quantitatively determining the ranking score of the segmented word according to the ranking information of the segmented word in the segmented word sequence; and outputting the segmented word with the highest comprehensive score as the product word of the commodity title, wherein the comprehensive score is the sum of the similarity score and the ranking score of the segmented word. The application can conveniently, efficiently and accurately determine the corresponding product word from the given commodity title, and provides basic services for downstream tasks such as commodity search, commodity advertisement placement and commodity collection of the independent site of the e-commerce platform, so as to improve the service experience of the e-commerce platform.

The embodiment of the present application discloses a color film substrate, a driving method thereof and a display panel. In a specific embodiment, the color film substrate comprises a first substrate and a second substrate arranged oppositely, and a cholesteric liquid crystal layer arranged between the first substrate and the second substrate. The first substrate is provided with a first electrode on the side facing the second substrate, and the second substrate is provided with a second electrode on the side facing the first substrate. The first electrode comprises a plurality of first sub-electrodes arranged in an array, and / or the second electrode comprises a plurality of second sub-electrodes arranged in an array. At least N adjacent first sub-electrodes and / or at least N adjacent second sub-electrodes are configured to be applied with the same voltage, and N>1. The embodiment does not need to be re-made when the color film needs to be changed. Meanwhile, the pattern size and arrangement mode can be arbitrarily changed. The embodiment can improve the mismatch between the text processing mode and the pixel arrangement, save the cost, effectively improve the module quality and the production efficiency.

The application provides a query word processing method and device, electronic equipment and storage medium, relates to the technical field of data processing, and aims to improve the experience of searching by a query word. The method comprises the following steps: acquiring a current query scene; acquiring a plurality of candidate query words matched with the current query scene according to the current query scene; estimating the search result of each of the plurality of candidate query words and the total probability of the search result being performed by a user; screening a plurality of to-be-displayed query words from the plurality of candidate query words according to the search result of each of the plurality of candidate query words and the corresponding total probability; and displaying the plurality of to-be-displayed query words.

The present application discloses an instruction word processing circuit, chip, and method, which belong to the field of artificial intelligence technology. The instruction word processing circuit includes: an instruction word generation register, an instruction word sending circuit, an instruction word receiving circuit, and an instruction word training state machine; the instruction word generation register is electrically connected to the instruction word sending circuit; the instruction word training state machine is electrically connected to the instruction word generation register, the instruction word sending circuit, and the instruction word receiving circuit respectively; the instruction word sending circuit includes multiple delay control units, which are used to adjust the transmission delay of the instruction word in the instruction word sending circuit. By adding multiple delay control units in the instruction word transmission circuit, the transmission delay of the instruction word in the instruction word transmission circuit can be adjusted so that the center of the instruction word's data window is aligned with the clock sampling edge, which helps the memory to correctly sample the instruction word.

The invention discloses a character recognition method and device, a storage medium and an electronic device, and the method comprises the steps: determining to-be-processed media data, carrying out the feature extraction, rapidly and accurately analyzing the characteristics of the media data, determining the media feature data of the media data, and further, carrying out the recognition of the to-be-processed media data. The method comprises the steps of inputting media feature data into an operator matching model to quickly determine an operator group based on the media feature data through the operator matching model, and finally, carrying out character processing on the media feature data based on operators in the operator group to obtain a character recognition result, so that the operator group is determined in combination with the media feature data and the operator matching model. And furthermore, the text recognition accuracy is remarkably improved in a mode of expanding character recognition based on the operator group.

The present invention relates to a method, system, electronic device, and storage medium for generating a virtual anchor video, comprising receiving a broadcast text and performing polyphonic word processing on the broadcast text; setting virtual anchor actions based on the broadcast text after polyphonic word processing; rendering the virtual anchor image in response to a change operation on the anchor image layer; integrating the polyphonic word processing text, the virtual anchor actions, and the virtual anchor image into a unified data structure for rendering to generate a virtual anchor video. The present invention effectively solves the problem of polyphonic word recognition in Chinese words through word segmentation operations and pinyin rendering, ensuring the accuracy of the broadcast text, and uses the Laplace smoothing-naive Bayes algorithm to recommend appropriate virtual anchor actions based on text semantics, so that users can recommend appropriate anchor actions based on text semantics during actual use.

The invention discloses a word processing method and device. The method comprises the following steps: reconstructing a document structure into one or more article units; in response to the triggered target article unit, displaying an editing page of the target article unit; in response to a triggered typesetting editing operation of the editing page, performing typesetting editing on the target article unit by using a WYSIWYG editing mode and a LaTeX fragment to generate fusion content; the fusion content is rendered in a compiling rendering mode, a rendering result is obtained, and a final document is generated. By splitting the document into the plurality of article units and combining with the LaTeX fragments to realize typesetting editing, the limitation of an existing WYSIWYG character processor in processing complex typesetting requirements is solved, the typesetting effect of a single LaTeX fragment or the whole unit can be previewed in real time when the article units are written, and adjustment is carried out according to the typesetting effect, so that the typesetting efficiency is improved, and the typesetting efficiency is improved. Therefore, the consistency and high-quality output of the final document format are ensured, and professional typesetting requirements are met.

The prompt word determination method, device, electronic equipment and storage medium provided by the present application relate to the technical field of prompt word processing. The method obtains baseline prompt words and a test case set based on a preset service requirement; performs multi-round response testing on a target model by using the baseline prompt words and the test case set, obtains model behavior logs corresponding to each round of response testing, and obtains a prompt word position effect matrix and a vocabulary sensitivity knowledge base based on the model behavior logs corresponding to each round of response testing; and performs mixed variable space search processing by using the prompt word position effect matrix, the vocabulary sensitivity knowledge base and the model behavior logs corresponding to each round of response testing, to obtain effective prompt words, thereby improving the optimization efficiency of prompt words and enhancing the verifiability of results.