Event-Extraction | event extraction methods in recent years

by xiaoqian19940510 Python Version: Current License: No License

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 and it has low support. However Event-Extraction build file is not available. You can download it from GitHub.

Summary of event extraction methods in recent years, including Chinese event extraction, open domain event extraction, event data generation, cross-language event extraction, small sample event extraction, zero sample event extraction and other types, DMCNN, FramNet, DLRNN, DBRNN, GCN, DAG- GRU, JM

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Quality

Security

License

Reuse

Support

Event-Extraction has a low active ecosystem.

It has 669 star(s) with 126 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. There are 1 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 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.

Reuse

Event-Extraction releases are not available. You will need to build from source code and install.

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 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.

Builds a vocabulary
Collapse a time type
Normalize a token
Create an ORacle
Convert an RSD document to a LSD file
Run segmenter
Split x into multiple rows
Run tokenizer
Resume evaluation for given epoch
Perform DCF computation
Extract data from ACE
Re - evaluate dee predictions
Runs the model
Splits x into multiple rows
Forward computation
Evaluate the BERT layer
Train the trigger
Loads data from a pickle file
Detect the best found sentences
Train the model
Print the total evaluation info
Build the graph
Evaluate the given dataset
Updates the model
Print anablation study
Prints the results of a single vs_multi_eval
Perform a forward computation

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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