TaxoLearn
is a graph-based approach aimed at learning a lexical taxonomy automatically starting from a domain corpus and the Web.
The system is based on Word-Class Lattices and a taxonomy learning algorithm
developed by Roberto Navigli, Paola Velardi and Stefano Faralli
Dataset
We are releasing the Artificial Intelligence taxonomy (extracted from the IJCAI 2009 conference proceedings).
The taxonomy is distributed in two formats:
TSV - tab-separated values, consisting of three columns (HYPERNYM, ->, TERM);
DOT - a DOT graph (see the graphviz website for more information).
