This is the tool and data for Interspeech 2015 paper "Distributed Representation-based Spoken Word Sense Induction"
This is a python based tool, for this to work, you also need:
###MALLET:
http://mallet.cs.umass.edu/
###word2vec:
http://deeplearning4j.org/word2vec
###HDP:
https://github.com/jhlau/hdp-wsi
After cloning the folder, there are folder for each experimental setup, after going into the folder, change the link in the do.sh
to the appropriate link address in your machine, then execute it.
Notes: Part of the models file were not uploaded to the repository, especially some model in LDA-feature and some model in the VectorSpace folder