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.
- Publication:
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arXiv e-prints
- Pub Date:
- May 2019
- DOI:
- 10.48550/arXiv.1905.05698
- arXiv:
- arXiv:1905.05698
- Bibcode:
- 2019arXiv190505698S
- Keywords:
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- Computer Science - Computation and Language
- E-Print:
- 5 pages, 2 figures, 1 table. Accepted by CVPR2019 Language and Vision Workshop