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arXiv · 1606.08777

"Show me the cup": Reference with Continuous Representations

Gemma Boleda·Sebastian Padó·Marco Baroni
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Abstract

One of the most basic functions of language is to refer to objects in a shared scene. Modeling reference with continuous representations is challenging because it requires individuation, i.e., tracking and distinguishing an arbitrary number of referents. We introduce a neural network model that, given a definite description and a set of objects represented by natural images, points to the intended object if the expression has a unique referent, or indicates a failure, if it does not. The model, directly trained on reference acts, is competitive with a pipeline manually engineered to perform the same task, both when referents are purely visual, and when they are characterized by a combination of visual and linguistic properties.

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Gemma Boleda, Sebastian Padó, Marco Baroni. 2016-06-28. "Show me the cup": Reference with Continuous Representations. https://doi.org/10.1007/978-3-319-77113-7_17

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