3 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CL2021★ 3 cited
G-Transformer for Document-level Machine Translation
Guangsheng Bao, Yue Zhang, Zhiyang Teng +2
Document-level MT models are still far from satisfactory. Existing work extend translation unit from single sentence to multiple sentences. However, study shows that when we furthe…
cs.CL2021★ 3 cited
Contextualized Rewriting for Text Summarization
Guangsheng Bao, Yue Zhang
Extractive summarization suffers from irrelevance, redundancy and incoherence. Existing work shows that abstractive rewriting for extractive summaries can improve the conciseness a…
cs.CL2020
What Have We Achieved on Text Summarization?
Dandan Huang, Leyang Cui, Sen Yang +4
Deep learning has led to significant improvement in text summarization with various methods investigated and improved ROUGE scores reported over the years. However, gaps still exis…