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Frame-Based Representation of Lexical, Graphical, and Factual Knowledge for Text-to-Scene Generation
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Annotation Tools and Knowledge Representation for a Text-To-Scene System
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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.
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Keyword:
Computer science; Information technology; Linguistics
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URL: https://doi.org/10.7916/D84F205R
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Frame-Based Representation of Lexical, Graphical, and Factual Knowledge for Text-to-Scene Generation ...
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Annotation Tools and Knowledge Representation for a Text-To-Scene System ...
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Collecting Spatial Information for Locations in a Text-to-Scene Conversion System
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VigNet: Grounding Language in Graphics using Frame Semantics
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Collecting Spatial Information for Locations in a Text-to-Scene Conversion System ...
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VigNet: Grounding Language in Graphics using Frame Semantics ...
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Data Collection and Normalization for Building the Scenario-Based Lexical Knowledge Resource of a Text-to-Scene Conversion System
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Collecting Semantic Data by Mechanical Turk for the Lexical Knowledge Resource of a Text-to-Picture Generating System
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Data Collection and Normalization for Building the Scenario-Based Lexical Knowledge Resource of a Text-to-Scene Conversion System ...
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Collecting Semantic Data by Mechanical Turk for the Lexical Knowledge Resource of a Text-to-Picture Generating System ...
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Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task
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Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task ...
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