Name
Title | ||
|---|---|---|
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models. |
Abstract | ||
|---|---|---|
The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach. This paper borrows the idea of Super Characters method and two-dimensional embedding, and proposes a method of generating conversational response for open domain dialogues. The experimental results on a public dataset shows that the proposed SuperChat method generates high quality responses. An interactive demo is ready to show at the workshop. |
Year | Venue | DocType |
|---|---|---|
2019 | arXiv: Computation and Language | Journal |
Volume | Citations | PageRank |
abs/1905.05698 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baohua Sun | 1 | 0 | 4.06 |
| Lin Yang | 2 | 1291 | 116.88 |
| Michael Lin | 3 | 0 | 2.03 |
| Charles Young | 4 | 1 | 2.71 |
| Jason Dong | 5 | 1 | 2.71 |
| Wenhan Zhang | 6 | 7 | 5.86 |
| Patrick Dong | 7 | 1 | 2.71 |