The Role of Graduality for Referring Expression Generation in Visual Scenes

Abstract : Referring Expression Generation (reg) algorithms, a core component of systems that generate text from non-linguistic data, seek to identify domain objects using natural language descriptions. While reg has often been applied to visual domains, very few approaches deal with the problem of fuzziness and gradation. This paper discusses these problems and how they can be accommodated to achieve a more realistic view of the task of referring to objects in visual scenes.
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Communication dans un congrès
Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2016, Eindhoven, Netherlands. Springer International Publishing, pp.191--203, 2016, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈10.1007/978-3-319-40596-4_17〉
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Soumis le : mardi 21 juin 2016 - 13:30:54
Dernière modification le : jeudi 11 octobre 2018 - 08:48:02

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Albert Gatt, Nicolás Marín, François Portet, Daniel Sánchez. The Role of Graduality for Referring Expression Generation in Visual Scenes. Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2016, Eindhoven, Netherlands. Springer International Publishing, pp.191--203, 2016, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈10.1007/978-3-319-40596-4_17〉. 〈hal-01334785〉

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