29 results about "Word type" patented technology

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 invention relates to a dialogue preference data construction method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring original dialogue data and a corresponding original dialogue reply; respectively constructing dialogue data generation requests for the original dialogue data, the original dialogue reply and a plurality of pre-constructed cue words corresponding to different cue word types, inputting each dialogue data generation request into a plurality of pre-constructed dialogue generation large models corresponding to different architectures, and generating candidate dialogue replies; inputting each candidate dialogue reply and the original dialogue reply as a to-be-evaluated dialogue reply into a plurality of pre-constructed dialogue evaluation large models corresponding to different architectures, and outputting dialogue preference evaluation results for each to-be-evaluated dialogue reply through each dialogue evaluation large model; and generating dialogue preference data based on the dialogue preference evaluation result. By adopting the method, the efficiency of constructing the dialogue preference data can be improved.

The invention belongs to the technical field of computers, and discloses a GUI (Graphical User Interface) positioning method and system based on a routing prediction framework. According to the method, a route prediction mechanism based on lexical item type judgment is introduced in the autoregression decoding process of the multi-modal large language model, and an interface semantic generation task and a spatial positioning task are dynamically shunted, so that a user instruction with a target element can jump out of a discrete text generation path; continuous space coordinate regression is directly carried out based on a hidden state and structure enhanced interface image features, and a null positioning result is returned through a special refusal response lexical item when a target element does not exist, so that the coordinate quantization error and illusion positioning problems are effectively avoided under an end-to-end unified framework, the positioning reasoning delay is remarkably reduced, and the positioning accuracy is improved. Precision, real-time performance and robustness of graphical user interface element positioning are improved, and the overall understanding ability of the model for interface structure semantics and spatial layout relation is enhanced.

The application discloses a BLS-based NAVTEX message context intelligent decision support method, applies data cleaning, word type reduction and reference stop word operations to NAVTEX message data, and proposes a message context label to mark the categories of the message, which specifically shows that the message content contained in the navigation warning is analyzed, and six categories of message context labels are summarized.Through the application, effective information in the original message data can be accurately extracted, and strong support is provided for subsequent message context classification tasks and navigation decision support, so that the trained message features are more concise and representative.The application is based on BLS and is improved, the accuracy of the NAVTEX message context classification is improved, intelligent navigation decision support services are provided for the mariners, the working strength can be effectively reduced and the working efficiency can be improved, meanwhile, the safety navigation performance of the ship is further enhanced, and the function of the navigation aid equipment is enriched.

The invention relates to a traffic network security event extraction method based on machine reading understanding, which performs joint training and optimization on a trigger word prediction module and an argument extraction module by sharing a coding layer of a pre-training language model, so that two tasks promote each other in a shared semantic space. Accurate context constraints are provided for argument role judgment through trigger word recognition, disambiguation of trigger word types is facilitated through argument information, and the deep interactive optimization mechanism enables the model to learn collaborative representation sensitive to the whole event structure. Therefore, the overall accuracy of event extraction and the generalization ability of the model are remarkably improved, and the inherent error propagation problem in a traditional assembly line method is solved.

The application discloses a method and device for generating an information model, a controller, a medium and a product. The method comprises: obtaining description information corresponding to a device measuring point; performing word segmentation processing on the description information to obtain word segmentation results corresponding to N preset professional word types, N being an integer greater than 1; performing mapping processing on the corresponding word segmentation results according to the preset professional word types to obtain information identifiers corresponding to the word segmentation results; and generating an information model corresponding to the device measuring point based on the N information identifiers. The method can avoid the understanding of the description information corresponding to the device measuring point by different people from being biased, the information model from being greatly different, the use effect of the information model from being affected, and the generation efficiency of the information model from being improved.

The application discloses a machine reading comprehension event extraction method and device based on template bridging, and medium, the method steps comprise: step S01. Input text and trigger word question template are obtained and combined to form an input instance with a trigger word question prompt template; step S02. Syntax analysis is performed on the input instance to form an adjacency graph, the input text and the trigger word question prompt template are connected according to the adjacency graph to obtain a link graph, and global features are extracted according to the link graph; the global features and semantic features are fused to identify the trigger word and the trigger word type; step S03. A argument question prompt template is generated, the prompt template is combined with the input text to form an input instance with a question prompt template; step S04. Argument extraction is performed to obtain argument and argument type output. The application has the advantages of simple implementation method, high event extraction efficiency and precision, good portability and the like.

This application discloses a biomedical event assembly method, apparatus, device, and medium, relating to the field of natural language processing technology. The method includes: combining trigger words and arguments of the text to be assembled based on their trigger word types to obtain candidate events; tagging the trigger words and arguments of the candidate events using a nested tagging method to obtain candidate instances; encoding the candidate instances using a preset deep learning model to obtain an output representation of the semantic information of the candidate instances; acquiring a first probability result for a preset legal category and a second probability result for a preset illegal category of the output representation; and then determining a target biomedical event from the candidate events based on the first and second probability results. This method can improve the performance of biomedical event assembly.

This invention provides an audio playback control method, apparatus, and electronic device, relating to the field of voice processing technology. The audio playback control method includes: acquiring a sampled signal and inputting it into a voice wake-up model to obtain the confidence level of the sampled signal containing a wake-up word, the voice wake-up model being used for wake-up word detection; if the confidence level is greater than a preset confidence level, extracting a signal segment containing the wake-up word from the sampled signal and inputting this segment into a type recognition model to obtain the category of the wake-up word output by the type recognition model, the type recognition model being used for wake-up word type recognition; if the category is a call intro wake-up word and the electronic device is detected to be playing audio, adjusting the current audio playback state of the electronic device. The technical solution of this invention can automatically adjust the audio playback state of an electronic device when a user connects to a callable device.

The application discloses a construction method of a code word type EP code based on a finite field resource and a finite field multiple access method thereof, and belongs to the technical field of 6G communication. j The application discloses a construction method of a code word type EP code based on a finite field resource and a finite field multiple access method thereof, and belongs to the technical field of 6G communication. The application discloses a construction method of a code word type EP code based on a finite field resource and a finite field multiple access method thereof, and belongs to the technical field of 6G communication. The application discloses a construction method of a code word type EP code based on a finite field resource and a finite field multiple access method thereof, and belongs to the technical field of 6G communication. The application discloses a construction method of a code word type EP code based on a finite field resource and a finite field multiple access method thereof, and belongs to the technical field of 6G communication.

The embodiment of the application provides a kind of text processing method and device, equipment, storage medium, belong to artificial intelligence technical field.The method comprises: by text extraction processing to original corpus, extract the preliminary abstract text that can express the meaning of original corpus most, again according to the preset segmented text length, preliminary abstract text is divided, and target segmented text is obtained.Target segmented text is filtered to determine target candidate word group, and target candidate word group semantic analysis processing is handled, the importance of word segmentation can be determined by the word type of word segmentation, and according to the word type of word segmentation, word segmentation is linked to the preset upper and lower cognitive graph, and target upper and lower cognitive graph is obtained.Because the upper and lower information of each word segmentation and the connection between each word segmentation can be easily obtained through target upper and lower knowledge graph, therefore, the efficiency of obtaining information can be improved by the text processing method of the embodiment of the application.

The utility model provides a reinforcing device for a linear wall constructional column formwork, which comprises a first support unit and a second support unit, the first support unit and the second support unit are respectively clamped on a left wall of a constructional column, the second support unit is clamped on a right wall of the constructional column, and a plurality of supporting units are detachably connected between the first support unit and the second support unit. The supporting units are provided with crimping units used for being pressed on the side faces of the formworks, and the supporting units and the crimping units are arranged on the front sides and the rear sides of the constructional columns correspondingly. The first support unit and the second support unit are clamped on the wall bodies on the two sides of the constructional column, and in combination with rigid connection of the supporting unit, lateral pressure during concrete pouring can be effectively resisted, and formwork expansion or displacement is prevented; the crimping unit ensures that the formwork is tightly attached to the design position of the constructional column, the quality defects of slab staggering, slurry leakage and the like after pouring are avoided, and the perpendicularity and flatness of a wall are improved; the positioning assemblies and the reinforcing assemblies at the tops of the first support unit and the second support unit can be adjusted up and down, and construction of linear wall constructional columns with different heights is met.

The application discloses a forest biomass intelligent nested recognition and measurement method based on unmanned aerial vehicle remote sensing, and specifically comprises the following steps: S1, forest biomass data collection; S2, data processing; S3, information extraction; S4, nested entity boundary detection: the text paragraph information generated in S3 is processed, word segmentation and word type annotation are carried out, and the nested boundary information mentioned by each text paragraph is detected; S5, entity multi-layer information annotation: after that, the data annotated in S4 is processed, and the entity type, entity subtype and mentioned role information of each group of text paragraphs are recognized; the application proposes an intelligent nested recognition and measurement method, uses a conditional random field model to fuse a plurality of features for statistical decision, secondly, a multi-layer information annotation problem is regarded as a classification problem, two classification engine parallel modes are designed from the realization angle, and a classifier is not designed for each layer of information annotation, so that the performance is obviously improved compared with the single classifier.

Embodiments of the application disclose a two-dimensional code detection method and device, a model training method and device, equipment and a storage medium. The method comprises: obtaining a two-dimensional code region of a to-be-detected image according to a preset first detection positioning model; obtaining a square region of a back-to-word type in the two-dimensional code in the to-be-detected image according to a preset second detection positioning model; inputting the square region of the back-to-word type into a preset first classification model to obtain a first classification result of the square of the back-to-word type in the two-dimensional code; obtaining a square region of a non-back-to-word type in the two-dimensional code, and inputting the square region of the non-back-to-word type into a preset second classification model to obtain a second classification result of the square of the non-back-to-word type in the two-dimensional code, thereby avoiding the technical problem that slight defects on the two-dimensional code are not easy to distinguish, and greatly improving the precision and efficiency of two-dimensional code detection in a small circuit breaker.

The utility model belongs to curtain wall installation technical field, concretely relates to a kind of positioning auxiliary tool for curtain wall gluing, it includes: one word type positioning guide rail, one word type positioning guide rail is set horizontally, and its one side is spaced apart and is provided with several pneumatic suction accessory, and the other side is connected with the connecting seat that can be moved along one word type positioning guide rail horizontally;The connecting seat is connected with the positioning member that can be moved along connecting seat longitudinally, and the upper end of the positioning member is provided with connecting piece;Adjusting sleeve is used for fastening to be set on curtain wall glueing machine, the outside of adjusting sleeve is set with positioning sleeve, and the side of positioning sleeve is integrally provided with fixed seat;The fixed seat is rotatably connected with the connecting piece, and pivot is parallel with one word type positioning guide rail.This positioning auxiliary tool moves and positions processing when gluing by positioning guide rail, avoid the problem of poor gluing quality caused by shaking etc., and can carry out fine adjustment processing to the curtain wall glueing machine after positioning, ensure curtain wall gluing quality and efficiency.

The utility model relates to the technical field of cupping, in particular to an autonomous waist and back cupping device which comprises a grab handle, an electric control module is arranged in the grab handle, a control key electrically connected with the electric control module is arranged on the outer side wall of the grab handle, an extension rod is connected to the axial outer side end of the grab handle and is of an L-shaped structure, and the tail end of the extension rod is perpendicularly connected with an end head. An air flow channel penetrating through the end is arranged in the end, the inner side end of the air flow channel is detachably connected with a tank body, the bottom of the tank body is provided with an opening, the top of the tank body is provided with an inserting end connected with the air flow channel, the grab handle, the extension rod, the end and the tank body form a J-shaped structure, and a negative pressure pump is arranged in the air flow channel. The negative-pressure cupping device is beneficial to solving the problem that the structures of some current negative-pressure cupping devices cannot realize that a single person can not perform cupping on the waist and back areas by himself / herself.

1. Name of the design product: assembly frame (5-letter multi-folded word type). 2. Use of the design product: the design product is used as a frame for a photovoltaic assembly or other assembly. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: front view.

The application provides a data element construction method, a terminal device and a computer storage medium. A to-be-standardized data item is acquired. A to-be-standardized word type in the to-be-standardized data item is analyzed by using a preset data element model. An un-to-be-standardized word type is acquired according to the to-be-standardized word type. A data word is added according to the un-to-be-standardized word type. A standardized data element is generated by using the to-be-standardized data item and the added data word. In this way, the newly-added data element can be efficiently, normatively and automatically constructed. When the existing data element cannot meet the requirement, the function helps the user to quickly and normatively add the data element.

1. Name of the designed product: clothesline (one word type). 2. Use of the designed product: used for hanging clothes, towels and other articles. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

The utility model relates to a kind of acrylic luminous word board, comprising: pedestal and word board;The pedestal is connected with word board by connecting piece, and the both are mutually electrically connected between each other.The utility model is provided with pedestal, word board and connecting piece and other components, the cooperation between connecting piece and word board makes word board can be connected with pedestal by connecting piece and screw, and then when word board is damaged, word board can be directly replaced after disassembly;Through the setting of luminous word board, connecting piece, movable conducting part and spring and other components, the effect of facilitating electrical connection is realized, when luminous word board is disassembled, conducting connector is separated from metal conducting sheet, the effect of circuit disconnection is realized, otherwise when luminous word board is installed, conducting connector is closely attached with metal conducting sheet, so that the circuit can be connected, through the above design, the function of disassembly and replacement of word board makes the luminous word board more convenient to use.

The invention discloses a risk hot word mining method and system, and provides a complete hot word mining algorithm integrating multi-tool word segmentation, part-of-speech screening, time decay TF-IDF and space-time anomaly analysis. The method comprises the following steps: firstly, carrying out text word segmentation by utilizing Hanlp and Smooth NLP collaboratively, and improving the word segmentation accuracy through a word segmentation fusion confidence coefficient mechanism; secondly, carrying out part-of-speech tagging by adopting an Electra model; introducing a time decay factor to improve a TF-IDF algorithm, and constructing a dynamic conventional elimination word library to filter low-value vocabularies; and finally, designing a hot word anomaly index, accurately identifying abnormal hot words with'multi-point, multi-place and multi-person 'characteristics, and triggering risk early warning. The method is remarkably superior to a traditional method in accuracy, response speed and early warning effect, can be widely applied to the fields of public safety, public opinion monitoring, financial risk control and the like, and realizes early perception and intelligent early warning of potential social risks.

1. The name of the design product: tea caddy (seal "Gao" word type). 2. The use of the design product: for packing tea. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The utility model relates to warehousing robot technical field discloses a kind of four-way outlet ASR artificial intelligence warehousing robots based on, comprising: drive car body, and gantry bracket is installed on drive car body, lifting assembly and multiple groups of material box buffer station are provided on the gantry bracket, the adjustment of multiple angles is carried out to transfer frame by drive mechanism, and then utilize the channel of one word type on transfer frame, can the direct transfer of container, to realize four-way entrance and exit and transport container to picking area, and picking area can be linearly arranged, without additional conveyor and loading platform, save the occupied space of picking area from space layout, improve space utilization, simultaneously, the configuration of conveyor is saved, to save the equipment investment cost when the time required for reversing is picked in the docking picking area, improve work efficiency, reach the purpose of cost reduction and efficiency increase.

The invention discloses an anti-collision protection system and method for a slewing mechanism of a bucket wheel machine. The anti-collision protection system comprises a signal detection unit, a control processing unit, a man-machine interaction unit and a slewing execution unit. The signal detection unit collects position signals through a rotary absolute value encoder and a pitching absolute value encoder; and the control processing unit converts the Gray code signal into a binary code through bit-by-bit XOR, sequentially completes data conversion from a bit type to a word type, an integer type and a floating-point number type, and calculates a real-time pitching height value and a real-time rotation angle value in combination with a linear formula. And when the two values do not exceed the preset height threshold value and the preset angle threshold value respectively, the system triggers a protection mode, only allows the slewing mechanism to run in the direction in which the absolute value of the slewing angle is increased, forbids reverse slewing, and prevents the cantilever from colliding with the foundation building. The man-machine interaction unit can switch on and switch off the protection function, and the requirement for low-material-level small-angle material taking is met while safety is guaranteed.

The application belongs to the technical field of computers and discloses a GUI positioning method and system based on a routing prediction framework. The application introduces a routing prediction mechanism based on word type discrimination in the autoregressive decoding process of a multi-modal large language model, dynamically shunts the interface semantic generation task and the spatial positioning task, enables the user instruction with the target element to jump out of the discrete text generation path, directly performs continuous spatial coordinate regression based on the hidden state and the interface image features enhanced by the structure, and returns an empty positioning result through a special rejection response word when the target element does not exist, thereby effectively avoiding the coordinate quantization error and the illusion positioning problem under the end-to-end unified framework, significantly reducing the positioning reasoning delay, improving the accuracy, real-time performance and robustness of the graphical user interface element positioning, and enhancing the overall understanding ability of the model to the interface structure semantics and spatial layout relationship.

Embodiments of the present application provide an event extraction method and device, a model training method and device, and a storage medium. The event extraction method comprises: obtaining a subtext in an event description text; inputting the subtext into a first neural network and a second neural network in an event extraction model respectively, and accordingly obtaining a first probability distribution of the subtext based on a plurality of event trigger word types and a second probability distribution of the subtext based on a plurality of event entity types, wherein the first neural network and the second neural network are obtained via joint training; and performing event extraction on the event description text according to at least the first probability distribution and the second probability distribution. The scheme of the embodiments of the present application improves the accuracy of event extraction.

The utility model discloses an adjustable wound suture fixing device, including flexible pad, its characterized in that: the flexible pad is " back " word type, and is equipped with the wound suture mouth in the middle, the top of flexible pad is equipped with adjusting device, the adjusting device includes flexible strip, the flexible strip fixedly connected in the top of flexible pad wound suture mouth right side, the inside of flexible strip equidistance fixedly connected with three adjusting lock belt, the top of flexible pad wound suture mouth left side with three adjusting lock belt one -to -one corresponding setting has three adjusting locking device, one end of adjusting lock belt passes through adjusting locking device and carries out locking fixed, the locking device includes U -shaped block, the bottom of both ends of U -shaped block and the top of flexible pad fixed connection, the inside of U -shaped block is equipped with lock tooth, the top of lock tooth fixedly connected with two mutually parallel telescopic link, two telescopic link's top and the top of U -shaped block's inside fixed connection.

The invention relates to an ICLextRank dense point word extraction method based on fused semantics. The method comprises the following steps of text preprocessing, word graph construction, multi-feature fusion calculation and dense point word generation. The method comprises the following steps: firstly, performing sentence division, word segmentation, stop word removal and part-of-speech screening on an original document; secondly, constructing a word graph model based on a word co-occurrence relationship; then, the word features, the center features and the semantic features of the candidate words are synthesized for scoring, and text semantic vectors are extracted from the semantic features through a DistilBERT model and calculated through cosine similarity; and finally, sorting the candidate words according to the comprehensive score and outputting Top-K dense point words. According to the method, through combination of semantic fusion and centrality analysis, the accuracy and the intelligent level of dense point extraction are improved, and automatic auxiliary support is provided for electronic document secret setting.

The invention provides an information extraction method based on topological graph non-independent sampling and context correlation learning, and relates to the technical field of biomedicine, and the method comprises the steps: carrying out the data extraction based on a biomedical event extraction task, and obtaining original sample data; obtaining a low-frequency trigger word pair set and a trigger word candidate set based on the trigger word type of the original sample data; the method comprises the following steps: extracting context representations of a low-frequency trigger word pair set and a trigger word candidate set by utilizing context association learning, obtaining a corresponding low-frequency trigger word pair representation vector and a trigger word candidate representation vector through average pooling, calculating a transition probability, obtaining an enhanced training set through topological graph non-independent sampling, and training a hybrid neural network to obtain a low-frequency trigger word pair representation vector and a trigger word candidate representation vector. And obtaining a trained hybrid neural network, and analyzing the biomedical event extraction task to obtain an information extraction result. According to the method, the problem that the existing trigger word recognition technology has limitation in the aspects of long-tail distribution modeling and context semantic modeling is solved.