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d3.1's Introduction

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README - Clusty v1.0

Linguistic Computing Laboratory
Sapienza University of Rome
http://lcl.uniroma1.it
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This package consists of a piece of software for sense clustering 
based on the WordNet sense inventory. The approach leverages the 
knowledge contained in Wikipedia for building NASARI lexical vectors.

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CONTENTS
--------

This package contains the following main components:

  clusty-1.0.jar      # Jar of Clusty
  clusty-1.0_lib/     # third party libraries
  LICENSE             # Clusty's license
  README              # this file
  pom.xml             # Maven pom file
  run-clustydemo.sh   # shell script to test Babelfy in Linux

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REQUIREMENTS
------------

We assume that you have a standard installation of the Oracle Java 1.8 JDK
and all the associated programs (i.e., java, javac, etc.) in your path.

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INSTALLATION
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In order to use Clusty, it is necessary to download WordNet 3.0 and 
include it in wordnet-releases folder. Furthermore, it is necessary to download, unzip
the NASARI lexical vectors here: https://drive.google.com/file/d/1HqdnFZu__6aAids9p5di8vhURNrhw8Xw/view?usp=sharing
and include them into the resources folder which needs to be created at the root level.

For testing purposes we provide a shell script:

		Linux:  run-clustydemo.sh, make sure that the file is 
			executable by running: chmod +x run-clustydemo.sh
			
In order to run Clusty, please specify the following instruction: 
	java -jar clusty-1.0.jar <lemma>|--all <n,a,r,v,all>  

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AUTHORS
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Federico Martelli, Sapienza University of Rome
([email protected])

Roberto Navigli, Sapienza University of Rome
([email protected])

Acknowledgments go to Dario Montagnini, Babelscape 
([email protected]), for his contribution to the project. 

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COPYRIGHT
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Clusty is licensed under a Creative Commons Attribution-Noncommercial-
Share Alike 4.0 License. See the LICENSE file for details.

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ACKNOWLEDGMENTS
---------------

Clusty is an output of the ELEXIS project (https://elex.is). This project has
received funding from the European Union's Horizon 2020 research and innovation
programme under grant agreement No. 731015.

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