eventextraction | Chinese compound event extraction can identify text patterns | Natural Language Processing library

 by   hidadeng Python Version: 1.1 License: MIT

kandi X-RAY | eventextraction Summary

kandi X-RAY | eventextraction Summary

eventextraction is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. eventextraction has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install eventextraction' or download it from GitHub, PyPI.

Chinese compound event extraction can identify text patterns, including conditional events, succession events, reversal events, etc., which can be used for text logic analysis.
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              eventextraction has a low active ecosystem.
              It has 11 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              eventextraction has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of eventextraction is 1.1

            kandi-Quality Quality

              eventextraction has no bugs reported.

            kandi-Security Security

              eventextraction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              eventextraction is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              eventextraction releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed eventextraction and discovered the below as its top functions. This is intended to give you an instant insight into eventextraction implemented functionality, and help decide if they suit your requirements.
            • Extract tuples
            • Matching patterns
            • Compute statistics
            • Splits sentences
            Get all kandi verified functions for this library.

            eventextraction Key Features

            No Key Features are available at this moment for eventextraction.

            eventextraction Examples and Code Snippets

            No Code Snippets are available at this moment for eventextraction.

            Community Discussions

            QUESTION

            Unable to compile an F# type extension that's defined in a different module when compiling a C# client
            Asked 2018-Jan-09 at 00:25

            I'm unable to compile an F# type extension that's defined in a different module when compiling a C# client.

            Events.fs

            I have the following type:

            ...

            ANSWER

            Answered 2018-Jan-09 at 00:25

            If you want your extension methods to be visible in C#, you should use the syntax for C#-style extension methods.

            Source https://stackoverflow.com/questions/48152170

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

            Vulnerabilities

            No vulnerabilities reported

            Install eventextraction

            You can install using 'pip install eventextraction' or download it from GitHub, PyPI.
            You can use eventextraction 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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            Install
          • PyPI

            pip install eventextraction

          • CLONE
          • HTTPS

            https://github.com/hidadeng/eventextraction.git

          • CLI

            gh repo clone hidadeng/eventextraction

          • sshUrl

            git@github.com:hidadeng/eventextraction.git

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