Name
Abstract | ||
|---|---|---|
In this work, we propose the use of the Internet as a rich source of knowledge to generate learning corpora for the task of semantic tagging of videos using their Automatic Speech Recognition (ASR) transcripts. We have applied supervised and non-supervised strategies using two recent frameworks related to this task. The obtained results show that, on the one hand, the integration of knowledge from web resources can be useful to generate learning corpora for this task and, on the other hand, the size of the learning corpora should be taken into account in deciding which approach to apply. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.csi.2012.07.002 | Computer Standards & Interfaces |
Keywords | Field | DocType |
ASR transcripts categorization,Video semantic tagging,Web-based learning corpora,Semantic search | Web resource,Semantic search,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Social Semantic Web,The Internet | Journal |
Volume | Issue | ISSN |
35 | 5 | 0920-5489 |
Citations | PageRank | References |
3 | 0.41 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José M. Perea-Ortega | 1 | 243 | 25.74 |
| Arturo Montejo Ráez | 2 | 60 | 15.95 |
| Maria Teresa Martín-Valdivia | 3 | 157 | 21.78 |
| Luis Alfonso Ureña López | 4 | 257 | 53.93 |