Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-40596-4_17 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Referring expression,Fuzziness,Linguistic description,Visual scenes | Linguistic description,Referring expression generation,Computer science,Referring expression,Natural language,Natural language processing,Artificial intelligence | Conference |
Volume | ISSN | Citations |
610 | 1865-0929 | 10 |
PageRank | References | Authors |
0.66 | 26 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Gatt | 1 | 699 | 60.78 |
| Nicolás Marín | 2 | 570 | 41.16 |
| F Portet | 3 | 507 | 46.23 |
| Daniel Sánchez | 4 | 124 | 15.47 |