Simple Search Algorithms on Semantic Networks Learned from Language Use
Table 1: The percentage of 36 walks (weighted and unweighted), varying τ×L, 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+']
Generally τ and L work together to produce the desired output patterns – i.e., the higher τ’s need higher L’s to produce the right number of words. We select a range of four τ values (Learner [.70–.85], Gold [.75–.90], BEAGLE [.40–.55]) and nine settings of L (60–100) that exhibit the best performance in showing human behavior ( as in (i) and (ii) above).