wDTW-wTED | code used in semantic document distance measures

by XiaofengZhu Java Version: Current License: MIT

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kandi X-RAY | wDTW-wTED Summary

wDTW-wTED is a Java library. wDTW-wTED has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However wDTW-wTED build file is not available. You can download it from GitHub.

code used in semantic document distance measures and unsupervised document revision detection (accepted by ijcnlp 2017). all the distance measures are under src/main/java/com/spark/cluster please adjust the spark setting file pom.xml accordingly. to replicate the revision detection results, use the normalization function instead of the default distance measures. simulated data sets are under simulated_data_sets. wikipedia revision dumps can be found on this project is licensed under the terms of the apache license. kindly cite our paper (when you use our code. @inproceedings{zhu-etal-2017-semantic, title = "semantic document distance measures and unsupervised document revision detection", author = "zhu, xiaofeng and klabjan, diego and bless, patrick", booktitle = "proceedings of the eighth international joint conference on natural

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wDTW-wTED has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

wDTW-wTED has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of wDTW-wTED is current.

Quality

wDTW-wTED has no bugs reported.

Security

wDTW-wTED has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

wDTW-wTED 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

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

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

Main entry point for the docs
Generates a document tree
Return a list of all paragraphs in a document
Generates a list of paragraph vectors
Main function for FastDTW algorithm
This method calculates the time warp based on two times
Test for unexpected errors
Test the difference between two strings
Test the symmetric matrix
Test whether two strings are symmetric
Initilize parameters
Determine if the first column of a file is first column of time measurements
Ensures that the output folder exists
This function runs the main function
Put the cost matrix in the swap window
Find the derivative of the Gaussian distribution
Normalize the data
Main function
Computes the distance between two strings
Main entry point for the CalAWE
Main entry point
Main function for the main function
Run the CalwDTW
Main entry point for Spark
Spell out a number
Main entry point for CalpVED

Get all kandi verified functions for this library.

wDTW-wTED Key Features

No Key Features are available at this moment for wDTW-wTED.

wDTW-wTED Examples and Code Snippets

No Code Snippets are available at this moment for wDTW-wTED.

Community Discussions

No Community Discussions are available at this moment for wDTW-wTED.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install wDTW-wTED

You can download it from GitHub.
You can use wDTW-wTED like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the wDTW-wTED component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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