Collecting Spatial Information for Locations in a Text-to-Scene Conversion System

Masoud Rouhizadeh, Daniel Bauer, Robert Eric Coyne, Owen C. Rambow, Richard Sproat
We investigate using Amazon Mechanical Turk (AMT) for building a low-level description corpus and populating VigNet, a comprehensive semantic resource that we will use in a text-to-scene generation system. To depict a picture of a location, VigNet should contain the knowledge about the typical objects in that location and the arrangements 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
more » ... 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.
doi:10.7916/d8kh0wt0 fatcat:2jt6kfy22bh2zmpssgm3atpbsq