Simple Search Algorithms on Semantic Networks Learned from Language Use
Table 2: The percentage of 21 walks (weighted and unweighted), for best τ per network, that match people with respect to (a) the number of words produced (N); (b) N and the IRT pattern (IRT); (c) IRT at the stricter threshold on patch entries (IRT+).
['Network', 'Weighted N', 'Weighted IRT', 'Weighted IRT+', 'Unweighted N', 'Unweighted IRT', 'Unweighted IRT+']
For these settings, we found all networks did the same or slightly better using a weighted walk compared to unweighted. All networks perform very similarly, with the primary difference that the Learner network matches the human target behavior in more walks. Moreover, both Gold and Learner meet the stricter IRT ratio of 1.2 in most cases of weighted walks, while BEAGLE only meets the less strict ratio of 1.1.