#Gastrovec

Data related to Oberländer and Bostan (2015), published in the Proceedings of the ESSLLI 2015 Student Session.

These folders contain what we submitted to, held in and presented at ESSLLI 2015.

This repo doesn't ship with the raw data, due to its huge-ish size and questionable legality. You should be able to reproduce creating the space though. A requirement for all Python scripts is the DISSECT toolkit.

This folder contains the scripts necessary to recreate the vector space. The SVD-20 version of the space is included, but not the bigger versions.

It also has all the scripts that are actually fun.

This contains nothing very interesting.