12 citations · 38 across the 8 of their papers we have counts for
9 papers
Toward Unifying Text Segmentation and Long Document Summarization
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang +2
Text segmentation is important for signaling a document's structure. Without segmenting a long document into topically coherent sections, it is difficult for readers to comprehend…
Salience Allocation as Guidance for Abstractive Summarization
Fei Wang, Kaiqiang Song, Hongming Zhang +6
Abstractive summarization models typically learn to capture the salient information from scratch implicitly. Recent literature adds extractive summaries as guidance for abstractive…
StreamHover: Livestream Transcript Summarization and Annotation
Sangwoo Cho, Franck Dernoncourt, Tim Ganter +7
With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into…
Better Highlighting: Creating Sub-Sentence Summary Highlights
Sangwoo Cho, Kaiqiang Song, Chen Li +3
Amongst the best means to summarize is highlighting. In this paper, we aim to generate summary highlights to be overlaid on the original documents to make it easier for readers to…
Self-Attention Network for Skeleton-based Human Action Recognition
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu +1
Skeleton-based action recognition has recently attracted a lot of attention. Researchers are coming up with new approaches for extracting spatio-temporal relations and making consi…
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations
Sangwoo Cho, Chen Li, Dong Yu +2
Emerged as one of the best performing techniques for extractive summarization, determinantal point processes select the most probable set of sentences to form a summary according t…