Annotation Tools and Knowledge Representation for a Text-To-Scene System
Year: 2012
Type: article
Abstract: Text-to-scene conversion requires knowledge about how actions and locations are expressed in language and realized in the world. To provide this knowlege, we are creating a lexical resource (VigNet) that extends FrameNet by creating a set of intermediate frames (vignettes) that bridge between the high-level semantics of FrameNet frames and a new set of low-level primitive graphical frames. Vignettes can be thought of as a link between function and form – between what a scene means and what it looks like. In this paper, we describe the set of primitive graphical frames and the functional properties of 3D objects (affordances) we use in this decomposition. We examine the methods and tools we have developed to populate VigNet with a large number of action and location vignettes.
DOI: 10.7916/d84f205r
Authors: Coyne, Robert Eric, Klapheke, Alexander, Rouhizadeh, Masoud, Sproat, Richard, Bauer, Daniel
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2144753607