Generating Quantified Referring Expressions with Perceptual Cost Pruning

WS 2019 Gordon BriggsHillary Harner

We model the production of quantified referring expressions (QREs) that identify collections of visual items. To address this task, we propose a method of perceptual cost pruning, which consists of two steps: (1) determine what subset of quantity information can be perceived given a time limit t, and (2) apply a preference order based REG algorithm (e.g., the Incremental Algorithm) to this reduced set of information... (read more)

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