Collecting spatial information for locations in a text-to-scene conversion system

Abstract. We investigate using Amazon Mechanical Turk (AMT) for building a low-level description corpus and populating VigNet, a com-prehensive semantic resource that we will use in a text-to-scene gener-ation system. To depict a picture of a location, VigNet should contain the knowledge about the typical objects in that location and the ar-rangements of those objects. Such information is mostly common-sense knowledge that is taken for granted by human beings and is not stated in existing lexical resources and in text corpora. In this paper we focus on collecting objects of locations using AMT. Our results show that it is a promising approach