IBR-*.txt ========= P(referent | message) for a variety of IBR listener models. Generated using the pragmods toolkit: https://code.google.com/p/pragmods/ Format: p(r1 | m1) p(r1 | m2) p(r1 | m3) p(r2 | m1) .... p(r3 | m3) scale_plus_6stimuli_3levels_no_fam_24_january_SCAL.csv ====================================================== Experimental results for the "complex" experimental condition. CSV header explains format. scales_6stimuli_3levels_no_fam_25_january_OSCA.csv ================================================== Experimental results for the "simple" experimental condition. CSV header explains format. facesInstances*.csv =================== Example problem instances (problem, message, referent) for each reference level. facesInstances.csv contains all concatenated together. Used for training the discriminative IBR models. Format: , ,