The focus of this paper is two-fold. First, similarities generated from six semantic models were compared to human ratings of paragraph similarity on two datasets—23 World Entertainment News Network paragraphs and 50 ABC newswire paragraphs. Contrary to findings on smaller textual units such as word associations (Griffiths, Tenenbaum, & Steyvers, 2007), our results suggest that when single paragraphs are compared, simple nonreductive models (word overlap and vector space) can provide better similarity estimates than more complex models (LSA, Topic Model, SpNMF, (...) and CSM). Second, various methods of corpus creation were explored to facilitate the semantic models’ similarity estimates. Removing numeric and single characters, and also truncating document length improved performance. Automated construction of smaller Wikipedia-based corpora proved to be very effective, even improving upon the performance of corpora that had been chosen for the domain. Model performance was further improved by augmenting corpora with dataset paragraphs. (shrink)

When dealing with the moving worlds of migration among the Persian diaspora in Australia, memories cannot simply be removed to dusty attic boxes to be stored as an archive. Rather, this analysis takes the body and its sensory engagement with the world as a central focus, arguing that memories are crafted, tasted, smelt and touched in everyday temporalities. In the kitchens and lounges of Persian migrant women the lived past refuses to become undone from the countless revolutions of food, talk (...) and domestic activity that are central to the patterning of memory. In this paper, we argue that these intimate practices have references beyond their domestic dimensions, for they point to a worldly movement of life writ domestically small. It is via a sensory network that the spatially and temporally disparate worlds of homeland and new homes are remembered and forgotten, and where miniature worlds call out to the movement of migration. Indo-Pacific Journal of Phenomenology , Volume 7, Edition 2 September 2007. (shrink)