CCKS-2020-event-extraction | CCKS

 by   xiaoqian19940510 Python Version: Current License: No License

kandi X-RAY | CCKS-2020-event-extraction Summary

kandi X-RAY | CCKS-2020-event-extraction Summary

CCKS-2020-event-extraction is a Python library. CCKS-2020-event-extraction has no bugs, it has no vulnerabilities and it has low support. However CCKS-2020-event-extraction build file is not available. You can download it from GitHub.

CCKS 2020:面向金融领域的小样本跨类迁移事件抽取。该项目实现基于MRC的事件抽取方法
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            kandi-support Support

              CCKS-2020-event-extraction has a low active ecosystem.
              It has 19 star(s) with 5 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              CCKS-2020-event-extraction has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of CCKS-2020-event-extraction is current.

            kandi-Quality Quality

              CCKS-2020-event-extraction has no bugs reported.

            kandi-Security Security

              CCKS-2020-event-extraction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              CCKS-2020-event-extraction does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              CCKS-2020-event-extraction releases are not available. You will need to build from source code and install.
              CCKS-2020-event-extraction has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed CCKS-2020-event-extraction and discovered the below as its top functions. This is intended to give you an instant insight into CCKS-2020-event-extraction implemented functionality, and help decide if they suit your requirements.
            • Fit the model
            • Wrapper function
            • Performs a single step
            • Train the model
            • Convert examples to features
            • Checks if the word spans in the document
            • Improve the span of the answer span
            • Create a model from a pretrained model
            • Construct an instance from a JSON file
            • Merge all of the events into a single list
            • Run test
            • Tokenize text
            • Split data into train and validation
            • Performs a single step of the optimizer
            • Load a pre - trained model from a pre - trained model
            • Read a single squad data
            • Calculate epoch
            • Gettorch mrc_all train data
            • Perform a single learning rate step
            • Compute the attention matrix
            • Plots the loss and accuracy
            • Performs a learning rate step
            • Get test data
            • Perform a single step
            • Run train
            • Runs the prediction
            Get all kandi verified functions for this library.

            CCKS-2020-event-extraction Key Features

            No Key Features are available at this moment for CCKS-2020-event-extraction.

            CCKS-2020-event-extraction Examples and Code Snippets

            No Code Snippets are available at this moment for CCKS-2020-event-extraction.

            Community Discussions

            No Community Discussions are available at this moment for CCKS-2020-event-extraction.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install CCKS-2020-event-extraction

            You can download it from GitHub.
            You can use CCKS-2020-event-extraction like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/xiaoqian19940510/CCKS-2020-event-extraction.git

          • CLI

            gh repo clone xiaoqian19940510/CCKS-2020-event-extraction

          • sshUrl

            git@github.com:xiaoqian19940510/CCKS-2020-event-extraction.git

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