event_extraction | baidu aistudio event extraction competition

by qiufengyuyi Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | event_extraction Summary

event_extraction is a Python library. event_extraction has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

baidu aistudio event extraction competition

Support

Quality

Security

License

Reuse

Support

event_extraction has a low active ecosystem.

It has 191 star(s) with 32 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 3 have been closed. On average issues are closed in 25 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of event_extraction is current.

Quality

event_extraction has 0 bugs and 0 code smells.

Security

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

event_extraction code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

event_extraction is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

event_extraction releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

event_extraction saves you 3130 person hours of effort in developing the same functionality from scratch.

It has 6738 lines of code, 365 functions and 40 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed event_extraction and discovered the below as its top functions. This is intended to give you an instant insight into event_extraction implemented functionality, and help decide if they suit your requirements.

Parse kfold verification
Extract entities from start and end ids
Predict a single sample
Load the latest model from the given path
Transformer transformer model
Attention layer
Get the shape of a tensor
Apply dropout to input_tensor
Build a function that builds TPUEstimator
Run event binning
Run event verification
Run event classification
Parse kfold input file
Embedding postprocessor
Run event mapping
Convert examples to features
Writes examples to examples
Build input function
Convert a single example
Tokenize text
Embed word embedding
Translate a single test
Builds a tf input_fn
Create an optimizer forbertcrf
Creates TrainingInstance
Calculate precision precision for confusion matrix classification

Get all kandi verified functions for this library.

event_extraction Key Features

No Key Features are available at this moment for event_extraction.

event_extraction Examples and Code Snippets

No Code Snippets are available at this moment for event_extraction.

Community Discussions

No Community Discussions are available at this moment for 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 event_extraction

You can download it from GitHub.
You can use 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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