Papers by Ruo-Ping Dong

1 papers
Reading Between the Lines: Exploring Infilling in Visual Narratives (2020.emnlp-main)

Copied to clipboard

Challenge: Generating long form narratives from multiple modalities requires a model to learn surrounding contextual information by masking spans of input while decoding attempts in generating the entire text.
Approach: They propose to use infilling techniques to generate textual descriptions from images that are rich in contextual dependencies.
Outcome: The proposed model outperforms existing models in visual storytelling by generating text from a large scale dataset of 46,200 procedures and 340k pairwise images and textual descriptions.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations