Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22323
Title: | The role of graduality for referring expression generation in visual scenes |
Authors: | Gatt, Albert Marin, Nicolas Portet, Francois Sanchez, Daniel |
Keywords: | Reference (Linguistics) Natural language processing (Computer science) Linguistic analysis (Linguistics) Word (Linguistics) Typology (Linguistics) |
Issue Date: | 2016 |
Publisher: | Springer International Publishing |
Citation: | Gatt, A., Marín, N., Portet, F., & Sánchez, D. (2016). The role of graduality for referring expression generation in visual scenes. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Eindhoven. 191-203. |
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. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22323 |
Appears in Collections: | Scholarly Works - InsLin |
Files in This Item:
File | Description | Size | Format | |
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ipmu2016_gradable-reg.pdf | 396.69 kB | Adobe PDF | View/Open |
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