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37 results about "Annotation Type" patented technology

Defines the type of annotation (e.g., direct, mapped, transitive closure).

Named entity identification method and device, equipment and medium

The invention discloses a named entity recognition method, a named entity recognition device, equipment and a medium. The named entity recognition method comprises the steps of: inputting a target sentence into a current named entity recognition model, and acquiring an annotation type and a corresponding probability of each character; calculating a corresponding loss value based on a target loss function according to the corresponding probability of the annotation type of each character, calculating a total loss value according to the current loss values, and improving the attention of the named entity recognition model to the characters with high annotation type uncertainty by using the target loss function; judging whether the current named entity recognition model meets a convergence condition or not; if not, selecting the model with the optimal current effect as a target model to perform entity identification on the target sentence; and if so, updating the named entity recognitionmodel according to the total loss value to obtain an updated named entity recognition model, circulating the previous steps until the judging that the named entity recognition model meets a convergence condition, thereby being capable of increasing the accuracy rate of named entity recognition.
Owner:北京香侬慧语科技有限责任公司

Webpage end three-dimensional model annotation information display browsing method and system

The invention aims to provide a webpage end three-dimensional model annotation information display browsing method and system capable of displaying three-dimensional model annotation information on awebpage end. The display browsing method comprises the following steps: S1, preprocessing a three-dimensional model to generate a lightweight model file and an annotation information object; s2, preprocessing the annotation information object to obtain an annotation type, an annotation guide line, an annotation value and annotation plane data; s3, performing integer processing on the normal vectordata of the labeling plane to reduce the number of bytes stored in the normal vector data; s4, carrying out json processing on the annotation information object, and generating an annotation information file with the storage suffix being json; s5, when the front end reads the lightweight model file, redrawing the annotation information according to the data structure of the annotation information, and then rendering the scene by using webgl; and S6, designing a dynamic display algorithm of the annotation information, and achieving automatic overturning and position changing of the annotationinformation along with the change of the model attitude.
Owner:WUHAN UNIV OF TECH

Priori knowledge-based financial field entity and intention recognition method

The invention relates to the technical field of man-machine conversation and intelligent semantic search, in particular to a priori knowledge-based financial field entity and intention recognition method, which specifically comprises the following steps of defining a context model, defining related information of a whole relational database table as a context, including names, annotations and types of tables and column names, and defining a data dictionary, and performing context model analysis: performing analysis according to a database by using a data dictionary, attribute values of related fields and data types, and defining the attribute values of the fields as an open type or a limited enumerable type. Adaptive learning can be realized, and attribute values of intention entities, associated entities and most entities can be identified; the identified entities can be limited in a specific table, on one hand, similarity matching in a global space is avoided, and the step of synonym filtering and scoring is omitted; and secondly, recognized words can be limited in the context, and unidentified words can be filtered out as irrelevant vocabularies, so that the recognition accuracy is prevented from being influenced.
Owner:上证所信息网络有限公司

Data annotation method and device and data annotation model training method and device

The invention provides a data annotation method and device and a data annotation model training method and device. The data annotation method comprises the following steps: acquiring a to-be-annotated image set, and determining the annotation type of a to-be-annotated target of each to-be-annotated image; judging whether the labeling category of the to-be-labeled target of each to-be-labeled image has a corresponding data labeling model or not; if yes, performing target annotation on the to-be-annotated image through the data annotation model to obtain a first annotated data set; and if not, acquiring an initial target frame of a to-be-labeled target in the to-be-labeled image, detecting a target edge position in the initial target frame of the at least one to-be-labeled target, and adjusting the initial target frame of the at least one to-be-labeled target according to the target edge position to obtain a second labeled data set. According to the invention, the image which cannot be automatically annotated is annotated by assisting an image processing technology with manual annotation, and the annotation quality and efficiency are improved in a manner of combining automation with the manual annotation.
Owner:CITY CLOUD TECH HANGZHOU CO LTD

Annotation data multiplexing method and system, electronic equipment and readable storage medium

The invention relates to the technical field of data annotation, and discloses an annotation data multiplexing method and system, electronic equipment and a readable storage medium. The method comprises the steps that a to-be-annotated data set and a preset annotation type are obtained through a browser side, the to-be-annotated data set comprises unannotated data, the browser side sends an export instruction to a server side, the export instruction comprises a preset annotation type of target data and target data identification information, the target data is annotated in advance according to the preset annotation type, the browser end obtains the target data and merges the target data into a to-be-annotated data set to obtain a merged data set, the browser side labels the unlabeled data in the merged data set according to the preset labeling type to generate a reuse data set for subsequent reuse, in this way, labeled target data is merged in the to-be-annotated data set, and then the unlabeled data in the to-be-annotated data set is labeled, so that reuse of the target data is achieved, and the reuse efficiency of the to-be-annotated data set is improved, and the operation cost and the time cost are saved.
Owner:重庆紫光华山智安科技有限公司

Interactive intelligent 2D semantic segmentation system and method, storage medium and device

The invention provides an interactive intelligent 2D semantic segmentation system. The system comprises an image input interface, an annotation front end and an annotation rear end; the image input interface is connected with a target image library, the image input interface is connected with the annotation rear end, the annotation rear end receives a target image through the image input interface, the annotation rear end is connected with the annotation front end, and the invention is characterized in that the annotation rear end receives an annotation range and an annotation type of the annotation front end; the annotation rear end comprises a template storage module, a cutting module, a foreground extraction module and a contour extraction module; the cutting module and the template storage module are connected with the foreground extraction module; the cutting module cuts the target image; the template storage module is used for producing a template; the foreground extraction module is connected with the contour extraction module; the foreground extraction module generates a foreground extraction template; the contour extraction module extracts an image contour. The beneficialeffects are that the interactive intelligent 2D semantic segmentation system is provided, the ground-truth can be conveniently obtained, and the robustness and the accuracy are relatively high.
Owner:格物钛(上海)智能科技有限公司

Data annotation method and device based on three-dimensional simulation scene and storage medium

The invention provides a data annotation method and device based on a three-dimensional simulation scene and a storage medium, and the method comprises the steps: obtaining the three-dimensional simulation scene, extracting an image frame, and carrying out the preprocessing of the image frame, and obtaining an original scene coloring result; obtaining an annotation type and a corresponding coloring strategy, obtaining a target attribute parameter of each pixel of the target in the image frame according to the annotation type, and obtaining a coloring result according to the coloring strategy, wherein the annotation type comprises an illumination attribute, and the coloring strategy corresponding to the illumination attribute comprises the following steps: segmenting the time, uniformly processing image frames in each time period, annotating an area in an illumination range, and superposing annotation data at pixels corresponding to the image frames belonging to the same time period to obtain an illumination coloring result; and selecting a corresponding coloring result according to requirements, and superposing the coloring result with the original scene coloring result to obtain an output image. Therefore, the image frame can be dyed by taking the pixel as the unit, and the marking of the illumination thermodynamic diagram of the image frame is realized.
Owner:SHENZHEN URBAN TRANSPORT PLANNING CENT
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