Abstract by Seong-Eun Cho
Image encoding of English sentences
One challenge in encoding natural language sentences is their variable length. In my research, I attempt to encode sentences into a fixed-length vector using Transformer layer and image encoding with the power of neural nets. The encoding is done in an auto-encoding procedure, and this may open new ways to encode meaning in sentences and be able to sample new sentences from a vector space.