Name
Title | ||
|---|---|---|
PAN: Pipeline Assisted Neural Networks Model for Data-to-Text Generation in Social Internet of Things |
Abstract | ||
|---|---|---|
•We conduct the first attempt to the data-to-text generation in Social Internet of Things (SIoT).•We propose a novel model to automatically generate the natural language sequence description from the nonlinguistic input data in SIoT.•The proposed model integrates the traditional pipeline modules with the end-to-end neural network model.•The experimental results demonstrate that our model outperforms several other existing solutions. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.03.080 | Information Sciences |
Keywords | DocType | Volume |
Social internet of things,Natural language generation,Data-to-text | Journal | 530 |
ISSN | Citations | PageRank |
0020-0255 | 2 | 0.35 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan Jiang | 1 | 145 | 11.69 |
| Jing Chen | 2 | 285 | 60.83 |
| Rigui Zhou | 3 | 131 | 13.82 |
| Changxing Wu | 4 | 8 | 2.28 |
| Honglong Chen | 5 | 235 | 18.06 |
| Jiaqi Zheng | 6 | 7 | 0.79 |
| Tao Wan | 7 | 181 | 21.18 |