TempCauseRelPro | Causal Relation extraction module for the Newsreader project
kandi X-RAY | TempCauseRelPro Summary
kandi X-RAY | TempCauseRelPro Summary
TempCauseRelPro is a Python library. TempCauseRelPro has no bugs, it has no vulnerabilities and it has low support. However TempCauseRelPro build file is not available. You can download it from GitHub.
Temporal and Causal Relation extraction modules for the Newsreader project. Check test.sh on how to use both modules (TempRelPro and CauseRelPro) to extract relations between events, given the dataset in column format (e.g. Wikinews dataset in 'data' directory). The path to YAMCHA (executable file) must be set in both temprel-pipeline-per-file.sh and causalrel-pipeline-per-file.sh files, e.g.
Temporal and Causal Relation extraction modules for the Newsreader project. Check test.sh on how to use both modules (TempRelPro and CauseRelPro) to extract relations between events, given the dataset in column format (e.g. Wikinews dataset in 'data' directory). The path to YAMCHA (executable file) must be set in both temprel-pipeline-per-file.sh and causalrel-pipeline-per-file.sh files, e.g.
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Quality
Security
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Support
TempCauseRelPro has a low active ecosystem.
It has 10 star(s) with 3 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1348 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TempCauseRelPro is current.
Quality
TempCauseRelPro has no bugs reported.
Security
TempCauseRelPro has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
TempCauseRelPro does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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TempCauseRelPro releases are not available. You will need to build from source code and install.
TempCauseRelPro has no build file. You will be need to create the build yourself to 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 TempCauseRelPro and discovered the below as its top functions. This is intended to give you an instant insight into TempCauseRelPro implemented functionality, and help decide if they suit your requirements.
- Build pair features .
- Generate the CATT tree .
- get the feature string
- Merge tlink and clink links .
- Order tlinks in a file .
- Filter tlinks in a file .
- Prints the usage of the build function .
- Returns a dictionary with the paramental para .
- Returns the first and second value of a list .
- Helper function to get the list of paraphraseCauses
Get all kandi verified functions for this library.
TempCauseRelPro Key Features
No Key Features are available at this moment for TempCauseRelPro.
TempCauseRelPro Examples and Code Snippets
No Code Snippets are available at this moment for TempCauseRelPro.
Community Discussions
No Community Discussions are available at this moment for TempCauseRelPro.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TempCauseRelPro
You can download it from GitHub.
You can use TempCauseRelPro 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.
You can use TempCauseRelPro 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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