395 research outputs found
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
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.Comment: 5 pages, 2 figures, 1 table. Accepted by CVPR2019 Language and Vision
Worksho
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