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
and a taxonomy learning algorithm developed by
Clear here for an extended version of this work
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
website for more information).
tab-separated values (TSV)
DOT graph (DOT)
We are also releasing the glosses extracted from the domain corpus and harvested from the web during the taxonomy learning phase:
If you use our IJCAI taxonomy in your own work or publish new work on the topic, please cite the following paper:
Roberto Navigli, Paola Velardi, Stefano Faralli.
A Graph-based Algorithm for Inducing Lexical Taxonomies from Scratch
. Proc. of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, July 19-22nd, 2011.
10 Dec 2012 by