200 results about "Word group" patented technology

The invention relates to the technical field of natural language processing, in particular to a dynamic intention chain modeling and causal cleaning method and system under a multi-round dialogue scene. According to the method, through multi-round dialogue data collection and preprocessing, one-hot codes are allocated to each sub-word or word group, intention recognition and sequence modeling are carried out based on the codes, and the intention of the user can be accurately recognized; quick mapping for directly obtaining user intentions from voice input data by skipping text data conversion is established, so that the intention recognition efficiency is improved; according to the method, the causal relationship graph is constructed based on the user intention sequence, the Bayesian network is utilized to perform causal modeling, the causal relationship between intentions is derived, and the probability of reasoning the next intention through the previous intention is calculated, so that the next intention of the user and the interactive operation to be executed are accurately reasoned; and collecting user feedback data to calculate a satisfaction score, and correcting the priority ranking rule of the rule engine based on the score.

Gender bias assessment techniques that are available currently only consider two genders viz male and female and is not inclusive of lesbian, gay, bisexual, transgender and queer (LGBTQ) genders. Present disclosure provides method and system for assessing gender fairness of large language models (LLM). The system first receive context aware prompt comprising context and prompt and then converts names present in the context using name anonymization technique. The system then convert many-to-many pronouns present in no-name-context into many to one pronouns which are then used to create counterfactual context for each gender pronoun group. Thereafter, system queries LLM with counterfactual prompt created using counterfactual context to obtain counterfactual response which is then used to create embedding data frame. Further, system trains Gaussian Mixture Model using embedding data frame which is then utilized to calculate cluster distances. Finally, system assess gender bias based on cluster distances and predefined distance threshold.

The invention relates to the technical field of legal consultation services, in particular to an intelligent question and answer matching method based on machine learning, which comprises the following steps of: acquiring legal consultation text recognition subject behavior objects and articles, analyzing and carding statement logic in sections, generating a semantic hierarchical table, extracting key phrases and integrating semantic units, and constructing a semantic network to generate a mapping table. Comparing question answer semantic logic to generate a matching corresponding set, reviewing offset revised text to generate a revised set, and rechecking consistency arrangement to generate an intelligent matching result set. According to the method, legal text logic relations are analyzed and processed through semantic layering, question and answer matching precision is optimized, keyword extraction and semantic network construction are combined, semantic consistency recognition and matching flexibility is enhanced, semantic offset and logic inconsistency are corrected, result connection coherence is ensured, mismatching is reduced compared with the prior art, question and answer accuracy is improved, and the method is suitable for popularization and application. Legal consultation is more intelligent and accurate, and a reliable matching result is provided.

A mobile computing device can be configured, with an improved user interface, to synchronously play audio (or video) and text associated thereto, such as text stored in a synchronization index. Using the synchronization index, the device can periodically compare the current track time with that time associated to a word or range of words, such as a line (or segment) in a plurality of lines of text (or segments of text). Improved navigability of content using an improved mobile computing device and user interface is provided, because a user of the device can scroll through the lines of text associated with the audio or video to find a target word or range of words. If the user selects a particular word or range of words, by making a gesture on the mobile computing device, the device can identify a start time for the selected text. The device can then play the audio or video at the identified start time of the selected text. The improved user interface is a practical application for navigating audio (or video) and text associated thereto on a mobile computing device, providing bimodal reading on mobile computing devices and ease of navigability.

The invention relates to a power document intelligent writing method and system based on an extraction and generation hybrid model, and the method comprises the following steps: S1, carrying out the preprocessing of key phrases or short sentences which are inputted by a user and need to generate a document, then carrying out the discrimination of sentences in documents of related official documents and reports through a BGA extraction type sub-module in a state grid power brilliance large model, and carrying out the recognition of the sentences in the documents of related official documents and reports; extracting sentences which are highly matched with key information input by a user and have a threshold value to form a candidate sentence set; s2, according to the candidate sentence set, obtaining related background knowledge from a power time sequence knowledge graph by using a state grid power brightness large model KG-PGN deep learning network; and S3, according to the candidate sentence set and the related background knowledge, completing automatic document generation through a Transform encoder in the state grid electric power bright large model, and checking generated vocabularies during decoding in combination with a cover tool provided by the bright large model to avoid repeated generation of the same vocabularies. According to the method, the automation and intelligence level of power document generation is greatly improved.

The invention discloses a semantic prompt automatic labeling method in a building construction scene, and relates to the technical field of intelligent construction, and the method comprises the steps: collecting a construction plan, on-site surveying and mapping data and real-time environment information, dividing a construction site into construction operation units, and extracting task features to generate a task priority coefficient Kt and a scene state vector Ei; calculating a semantic prompt priority index SPI based on Kt and Ei, sorting prompt words, and mapping the prompt words into feature vectors through BERT; extracting image global features by using a visual model, performing weighted fusion on the image global features and semantic prompt features, and outputting a detection region set; through comparative analysis of a semantic consistency coefficient Ssem and a threshold value Qsc, optimal prompt phrases are optimized and combined to generate a multi-granularity labeling structure; and calculating a semantic anomaly coefficient SAI by adopting cross-modal cosine similarity, comparing the semantic anomaly coefficient SAI with a threshold value Qsai to judge whether the annotation is abnormal or not, and realizing anomaly correction, history comparison and responsibility judgment by recording and tracking the whole process of the annotation link.

The invention discloses a key value cache sharing method and device for a large language model, equipment and a product. The method comprises the steps that request content input to the large language model by a first user is acquired; determining a first segmented word group corresponding to a first part of a shared key value cache of the large language model in the request content, wherein the shared key value cache of the large language model does not have a matched key value; determining an attention score between every two segmented words in the first segmented word group to obtain an attention matrix, determining at least one second segmented word group based on the attention matrix and the first segmented word group, and adding a corresponding key value to a shared key value cache; wherein the attention score between the segmented words in the second segmented word group is greater than the attention score between the segmented words in the second segmented word group and the segmented words outside the second segmented word group. Continuous updating of the shared key value cache is realized, and the hit rate and the utilization rate of the cache key value are remarkably improved.

The invention belongs to the technical field of artificial intelligence, and particularly relates to an emergency perception method containing semantic extraction, which comprises the following steps of: S1, constructing a historical word library about emergencies, and forming an association weight between a vocabulary group and a user through historical data training; s2, constructing an entity variant word expansion model based on a double-layer model to realize generation of a variant word bank, wherein the double-layer model comprises a proper noun expansion layer and a historical word bank expansion layer; s3, collecting text data on a network, performing classification processing on the text data based on a text classification rule, and preliminarily extracting entity words; s4, inputting the extracted entity words into the variant word expansion model to obtain a corresponding variant word group, and completing identification and extraction of the entity words; and S5, carrying out situation analysis based on the knowledge graph, and predicting the occurrence and development situation of the emergencies. According to the method, the variant word bank suitable for the whole network is mined on the basis of the incidence relation of different users to different similar words, and the reliability of vocabulary expansion is improved.

The application discloses a character input method and device, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment. The method comprises the following steps: receiving a first input for inputting a word group pinyin in an input method keyboard; in response to the first input, displaying at least one word group unit corresponding to the word group pinyin, each word group unit comprising at least one candidate word; in response to a second input for selecting a target word group unit from the at least one word group unit, displaying the target word group unit in a text input area corresponding to the input method keyboard.

The invention discloses an education evaluation method and system based on visual identification data analysis, and relates to the technical field of education analysis, and the method comprises the steps: presetting the understanding difficulty for each mapping node, and taking the understanding difficulty as a teaching path reference; performing semantic analysis on the explanation scheme, extracting knowledge points and secondary and supplementary key phrases, and associating the knowledge points and the secondary and supplementary key phrases to corresponding mapping nodes to realize content structuring; acquiring real-time classroom voice information, extracting and analyzing characters to determine real-time keywords, positioning corresponding nodes in the mind map, sequentially connecting the nodes to form a real-time map node sequence line, and capturing an actual explanation path; calculating student initial state evaluation, combining node difficulty correction to obtain final evaluation, and accumulating all student evaluation as a teaching effect; taking a preset explanation order line teaching effect corresponding to the real-time order line as a standard, determining the relative positioning of actual evaluation, and achieving deviation quantification; according to the invention, through multi-modal fusion and a dynamic order line mechanism, the real-time performance and accuracy of evaluation are improved, and teaching improvement guidance is provided.

The application discloses a keyword extraction method, system, device and storage medium. The method comprises the following steps: obtaining a sensitive word group list, removing stop words and splicing words in each sensitive word group, and obtaining preprocessed text; based on the preprocessed text, a word vector is constructed, and a mapping relationship between a word group in the preprocessed text and the splicing words is established; an initial cluster center vector is selected in the word vector, a Hamming distance between a remaining word vector and the initial cluster center vector is calculated, the word vector is divided into clusters according to the Hamming distance, and a preliminarily divided keyword cluster is obtained; based on the word vector and the preliminarily divided keyword cluster, an adaptive clustering algorithm is adopted to obtain a similar word vector cluster; and the similar word vector cluster is spliced with the splicing words according to the mapping relationship, so that a keyword list is generated; and it is ensured that the obtained keywords can accurately reflect the characteristics of the text content.

The invention relates to the technical field of classical Chinese teaching, and discloses a classical Chinese dismantling teaching method and system based on artificial intelligence assistance, and the method comprises the following steps: S1, obtaining a classical Chinese text to be teaching, carrying out the structural processing of the classical Chinese text, and dismantling the classical Chinese text into a plurality of dismantling units of different levels; s2, on the basis of preset teaching cognition parameters, performing cognition difficulty and teaching value evaluation on each disassembly unit, and generating corresponding disassembly unit difficulty identifiers and teaching weight information; according to the classical Chinese dismantling teaching method based on artificial intelligence assistance, classical Chinese texts are dismantled into dismantling units of different levels such as a word level, a phrase level, a syntactic level and a semantic level, and a classical Chinese understanding process is subjected to structured processing, so that classical Chinese learning is converted from result guidance to process guidance, and the classical Chinese learning efficiency is improved. Students can conveniently and systematically master the language law of classical Chinese, so that the classical Chinese understanding ability is improved.

The invention relates to the technical field of artificial intelligence, is suitable for the financial field and the medical health field, and provides a verbal skill generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining a user input text of which a topic deviates from a business topic, and extracting a target word group from the user input text; determining a first response template text from a plurality of preset response template texts associated with different business themes; generating a second response template text based on the target word group and the first response template text; analyzing the user input text and the second response template by using a preset language model to generate a plurality of target lexical elements for responding to the user input text, and obtaining probability data corresponding to each target lexical element; and based on the multiple target lexical elements and the probability data corresponding to each target lexical element, generating a target response verbal skill used for guiding the topic to return to the business theme. The method can help an artificial intelligence customer service to naturally guide the dialogue to return to the business theme.

It enables document proofreading tailored to individual tasks and documents. [Solution] The document proofreading device (document processing device 100) includes a dictionary generation unit 116 that creates a synonym acquisition prompt requesting a synonym group, which is a collection of documents containing one or more documents, with words grouped by synonym; an answer acquisition unit 118 that sends the synonym acquisition prompt to a language model server 210 and obtains the synonym group directly or indirectly from the language model server 210; and a document proofreading unit 117 that refers to the synonym group and creates a proofreading document acquisition prompt requesting a proofreading document that corrects variations in word notation in the documents included in the document collection. The answer acquisition unit 118 sends the proofreading document acquisition prompt to the language model server 210 and obtains the proofreading document directly or indirectly from the language model server 210.

The application relates to the computer technical field, and provides a keyword matching method, an electronic device cluster and a program product, and further provides a computer readable storage medium. The keyword matching method provided by the application is applied to an electronic device, and the method comprises the following steps: extracting all continuous words satisfying the length of index word groups from a to-be-matched text, and generating one or more to-be-retrieved word groups; performing secret processing on the one or more to-be-retrieved word groups, and generating one or more ciphertext retrieval word groups; matching the one or more ciphertext retrieval word groups with ciphertext index word groups; when there is a ciphertext retrieval word group matching a ciphertext index word group, obtaining one or more keyword lengths; extracting continuous words satisfying the one or more keyword lengths from the to-be-matched text, and generating one or more to-be-matched word groups; performing secret processing on the one or more to-be-matched word groups, and generating one or more ciphertext matching word groups; and matching the one or more ciphertext matching word groups with ciphertext keywords, and obtaining a matching result. According to the method of the first aspect, the data processing amount occupied by the matching operation can be effectively reduced, and the execution efficiency of the matching operation is improved.

The invention relates to a dialogue generation method and device, computer equipment, a storage medium and a program product, and the method comprises the steps: obtaining a plurality of target person feature words corresponding to the role description information of a digital person according to a preset person feature word library; combining the feature words set by each target person to obtain a plurality of feature word groups; matching the plurality of feature phrases with a preset dialogue scene library to determine a feature phrase set; under the condition that the current output dialogue is the first section dialogue, determining a first feature phrase; generating a current output dialogue based on the first feature phrase through a dialogue generation model; under the condition that the current output dialogue is any non-first-section dialogue, determining a second feature word group; and through the dialogue generation model, based on the second feature phrase and the output dialogue before the current output dialogue, the consistency of long-range dialogue role features is maintained.

In a dialogue system outputting utterances in a dialogue manner, an utterance filtering device for preventing output of possibly problematic expression includes: a pre-trained context model trained, in response to an input of a word vector sequence representing an utterance, to output a probability vector comprising elements indicating probability of each of the words in a prescribed word group appearing in a context in which the utterance is placed; and a determining unit 456 configured to input a word vector sequence representing a subject utterance to the context model, and to determine whether the subject utterance is to be discarded or approved depending on whether a value determined as a prescribed function of a probability vector output by the context model in response to the input is equal to or larger than a threshold value.

The application discloses a data transmission system based on artificial intelligence service, and relates to the technical field of data transmission.The system comprises a data acquisition module, a word library construction module, a word segmentation comparison module, a transmission analysis module, a conflict analysis module and a transmission optimization module.The data acquisition module performs word segmentation on an artificial intelligence service data packet to construct a word segmentation data group.The model construction module constructs a key word library containing weights according to a scene.The word segmentation comparison module calculates word frequency and weight ratio to obtain a word group priority value to determine a data packet transmission sequence.The transmission analysis module compares word frequency of data packets with network maximum byte values to determine conflicts.The conflict analysis module calculates vector dot products and continuous invalid word frequency Wx to determine the priority sequence of equivalent data packets.The transmission optimization module optimizes data packets and sends the data packets to a network.The application can optimize data packet transmission, improve efficiency and provide a basis for data transmission optimization.

The invention relates to the technical field of semantic comprehension, in particular to a water and soil conservation monitoring summary report auxiliary auditing system based on semantic comprehension, which comprises a graph and certificate judgment module, a phrase screening module, an entry matching module, a data error correction module and a revision and collection module. According to the method, the corresponding relation between image components and text main words is extracted, semantic deviation between image-text contents is recognized, a verb group and a time word are combined to carry out sequential relation comparison, the logical sequence in a statement is analyzed to be associated with actions, construction terms are extracted and are associated with standard terms, and phrase contents lacking the orientation of the terms are screened; the method comprises the following steps of: analyzing a connection state of a data segment and text description on a field level by combining a semantic relationship between a field subject and a monitoring unit, constructing a multi-dimensional check chain covering image-text association, a time sequence, term classification and data matching, and promoting collaborative application of semantic processing in structure association, rule matching and logic recognition; and the depth and breadth of text review are expanded.

This invention relates to the field of privacy protection technology, specifically to a method and system for protecting user privacy data based on data security. The method utilizes phrase association analysis of candidate keywords in text to identify core sentences in the user's text; it then filters keyword groups based on their sensitivity within the core sentences to determine noisy placement, and divides text units by combining different semantic relationships between keyword groups; finally, it analyzes the confidentiality requirements of text units based on lexical sensitivity, and clusters text units based on their similarity, adding noise based on the confidentiality requirements of different clusters to obtain noisy text data. This invention combines fine-grained semantic association analysis between words in the text, adaptively adding noise to sensitive parts with varying risks while preserving basic semantics, thus protecting user privacy while ensuring the accuracy and reliability of subsequent data analysis.

The present invention provides a data processing method and system capable of improving efficiency of Chinese vocabulary learning. The method comprises: a data storage unit storing a vocabulary database related to Chinese language learning; segmenting each word into two or more sub-words; binding each sub-word to a balloon graphic, and assigning a color to the balloon; displaying four or more balloons on a client display screen, wherein one sub-word is displayed on each balloon, and the position of the balloon in the screen changes randomly; detecting an instruction for dragging one balloon in the client display screen so that the one balloon at least partially overlaps another balloon; upon detection of said instruction, indicating that phrase matching is performed on the sub-words bound to the selected balloons; and traversing the data storage unit, if there is a corresponding phrase in the data storage unit, indicating that the matching is successful, removing the balloons from the client display screen, and displaying the phrase in a set area of the client display screen, otherwise, retaining the balloons on the client display screen until all balloons in the client display screen are removed.

The invention provides an object name matching method and device, equipment, a storage medium and a program product, relates to the technical field of computers, and can improve the accuracy of information query of electronic equipment. According to the specific technical scheme, the electronic equipment combines each target word group obtained by combining words in a target object name with each first word group obtained by combining words in a first object name; and respectively determining whether each second word group obtained by combination appears in the target object name and the first object name, determining the name similarity between the target object name and the first object name according to two determination results, and determining the name similarity between the target object name and the at least one first object name according to the name similarity between the target object name and the at least one first object name. And determining a first reliable parameter, and determining whether the target object name is the object name of the first object or not according to a size relationship between a parameter value of the first reliable parameter and a parameter threshold value. The method is used in a scene for querying the object to which the object name belongs.

The present disclosure provides an updating method and device of an intent template library, an electronic device and a storage medium, relating to the technical field of computers, in particular to the technical field of artificial intelligence such as deep learning, natural language understanding, voice interaction. The specific implementation scheme is: obtaining a target sentence with an empty intent recall result from a historical dialogue library; determining the word slot label corresponding to each word group in the target sentence; based on a preset word slot arrangement rule, sorting the word slot labels corresponding to the target sentence to obtain a semantic template corresponding to the target sentence; performing intent recognition on the semantic template or the target sentence to determine a target intent corresponding to the semantic template; and storing the semantic template and the target intent in the intent template library. Thus, the automatic updating of the intent template library is realized, which not only expands the size of the intent template library and reduces the cost of updating the intent template library, but also improves the accuracy and reliability of the intent template library and optimizes the performance of the machine in the human-computer interaction process.

The present application relates to the technical field of semantic processing, in particular to a government service hotline platform data governance and analysis method based on big data. The present application first acquires communication phrases of historical call data, and screens out emphasized phrases and possible appeal phrases from the historical call data; further, in any two historical call data, the emphasized phrases of different calls are matched based on the similarity between the emphasized phrases; further, according to the consistency of the use difference between all matched emphasized phrases, a theme consistency coefficient is obtained and all historical call data are classified; finally, in any class of historical call data, according to the similarity between the possible appeal phrases, the distribution of the possible appeal phrases is combined, the appeal phrases are screened out and recorded as demand labels, effectively solving the technical problems of inaccurate user demand label classification and large data mining deviation in the prior art.

Embodiments of the present application provide a text intention classification model training method, a recognition method, a device, an electronic device and a storage medium, belonging to the field of data processing. The training method comprises: obtaining the word group of each training text and the labeled label of each training text, obtaining an initial model comprising a graph neural network and a classifier, taking all labeled labels as the iterative input of the graph neural network to enable the graph neural network to learn the correlation between all intention labels, taking the word group of the training text and the correlation as the iterative input of the classifier, training the initial model, and training a classification model for obtaining the labeled label of the training text, so that the trained classification model can adapt to the application scenario of data distribution change, greatly improving the classification accuracy of the classification model.

The present application relates to the technical field of information security, in particular to a Chinese character encryption and decryption method and device based on nine-square grid pinyin; the present application uses nine-square grid pinyin input method to correspond any encryption symbol with nine-square grid; when plaintext is sent by spelling pinyin, the output is the position and order of each time pressing the corresponding nine-square grid; the encryption symbol on the corresponding nine-square grid is matched according to the position and order of the corresponding nine-square grid; the pinyin of the plaintext is separated according to single Chinese character or word by combining the separation bit, and the ciphertext is formed; when the private key is known by both the sending and receiving parties, the corresponding pinyin and sentence content are determined according to the encryption symbol matching the letter on the corresponding character bit, combining the separation bit, and combining the meaning of the word group or the meaning of the sentence, and the decryption is realized. The whole method is based on nine-square grid pinyin, which reduces the learning cost and difficulty, and also reduces the decryption difficulty; meanwhile, the position is used for positioning, which increases the encryption type and possibility, and also increases the decryption difficulty.

A memory device having a plurality of groups of words is provided. Each group of the plurality of groups of words are stored in a contiguous section of a memory and each group of the plurality of groups of words includes a plurality of words. The plurality of words each have a plurality of elements with a same set of index values for a first dimension of a tensor and a same set of index vales for a second dimension of a tensor. The plurality of words have a different index value for a third dimension of the tensor.

The invention discloses a method and device for recognizing and reconstructing vector characters of a CAD drawing, and relates to the technical field of data processing. The method comprises the steps that a PDF file is analyzed, and vector elements and attribute information of the vector elements are extracted; character stroke candidate lines are screened out according to attribute grouping; carrying out connectivity analysis and density-based spatial clustering on the lines, and identifying a text region; rendering the vector lines of the text region into an image with high resolution, carrying out single character segmentation, and recognizing characters by combining drawing-level font library template matching with a single character recognition model; combining the single characters into word groups according to the positions and the context information, and performing word order correction by adopting a language model; the recognition result is written back into an editable CAD text object; according to the method, vector geometric information is directly utilized, distortion of bitmap sampling is avoided, the small character recognition rate and the anti-jamming capability are effectively improved, and end-to-end semantic recovery from vector lines to searchable and editable texts is achieved.