Name
Abstract | ||
|---|---|---|
The Natural Language Processing task of determining “Who did what to whom” is called Semantic Role Labeling. For English, recent methods based on Transformer models have allowed for major improvements in this task over the previous state of the art. However, for low resource languages, like Portuguese, currently available semantic role labeling models are hindered by scarce training data. In this ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DSAA53316.2021.9564238 | 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) |
Keywords | DocType | ISBN |
Viterbi algorithm,Transfer learning,Semantics,Training data,Transformers,Data models,Natural language processing | Conference | 978-1-6654-2099-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sofia Oliveira | 1 | 0 | 0.34 |
| Daniel Loureiro | 2 | 1 | 4.07 |
| Alípio Jorge | 3 | 749 | 73.03 |