Hierarchical Voting Experts: An Unsupervised Algorithm for Hierarchical Sequence Segmentation Matt Miller and Alex Stoytchev, Developmental Robotics Lab, Iowa State University Our Work •Extend Voting Experts to more general domains •Use VE for unsupervised segmentation of hierarchically structured sequences •Improve accuracy of segmentation by using “top down” Miller and Stoytchev, ICDL 2008 Baby’s task: tupirogolabubedakupadoditupirotupirogolabutupiro… tupiro*golabu*bedaku*padoti*tupiro*tupiro*golabu*tupiro… [Saffran, Aslin et. al. 1996] [Cohen and Adams, 2001] Voting Experts’ task: itwasabrightcolddayinaprilandthecl ockswere… itwas*a*bright*cold*day*in*april*andthe *clockswere… i t w a s a b r i g h t … 1 1 3 4 1 7 6 1 Votes : i t w a s * a * b r i g h t … Interesting because: 1. Entropy metrics very similar to “Statistical cues” of Saffran, Aslin et. al. 2. General model – useful for more than text 3. Surprisingly effective, given Low Internal Entropy High Boundary Entropy