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View Code? Open in Web Editor NEWLexical semantics analytics for NLP: sense clustering
License: Other
Lexical semantics analytics for NLP: sense clustering
License: Other
----------------------------------------------------------------- README - Clusty v1.0 Linguistic Computing Laboratory Sapienza University of Rome http://lcl.uniroma1.it ----------------------------------------------------------------- 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. -------- 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 ------------ 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. ------------ INSTALLATION ------------ 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> ------- AUTHORS ------- 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. --------- COPYRIGHT --------- Clusty is licensed under a Creative Commons Attribution-Noncommercial- Share Alike 4.0 License. See the LICENSE file for details. --------------- 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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