Hi Victor,
sorry for the delay.
> May I also ask if the old wn1.7 version still works substantially
> better than the 3.0 one as described in your paper? What suggestions
> would you give to ordinary users on the version to use?
In our experiments (described in [1]) wn1.7 worked better because the
gold standard ("Senseval 2 all words" and "Senseval 3 all words") are
annotated using wn1.7. On the other side, "Semeval 2007 all words" and
"Semeval 2007 coarse grained all words" datasets are annotated with
wn2.1, and for those datasets ukb performes best using the wn2.1+xwn
graph.
So in summary, the closer the graph you use to the wn version the
dataset is annotated with, the better the result.
We also analyzed the impact of using wn3.0+glosses on those
datasets. Take a look to Section 6.4.3 in [1].
[1] Agirre E., Lopez de Lacalle O., Soroa A. 2013 Random Walks for
Knowledge-Based Word Sense Disambiguation Computational Linguistics,
40:1. ISSN 0891-2017.
http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00164
hope this helps,
aitor