activity
20182022
most citedTowards Improving Faithfulness in Abstractive Summarization

14 citations · 39 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CL2022

Scientific Paper Extractive Summarization Enhanced by Citation Graphs

Xiuying Chen, Mingzhe Li, Shen Gao +3

In a citation graph, adjacent paper nodes share related scientific terms and topics. The graph thus conveys unique structure information of document-level relatedness that can be u…

cs.CL202214 cited

Towards Improving Faithfulness in Abstractive Summarization

Xiuying Chen, Mingzhe Li, Xin Gao +1

Despite the success achieved in neural abstractive summarization based on pre-trained language models, one unresolved issue is that the generated summaries are not always faithful…

cs.CL2022

Target-aware Abstractive Related Work Generation with Contrastive Learning

Xiuying Chen, Hind Alamro, Mingzhe Li +4

The related work section is an important component of a scientific paper, which highlights the contribution of the target paper in the context of the reference papers. Authors can…

cs.CL20207 cited

Meaningful Answer Generation of E-Commerce Question-Answering

Shen Gao, Xiuying Chen, Zhaochun Ren +2

In e-commerce portals, generating answers for product-related questions has become a crucial task. In this paper, we focus on the task of product-aware answer generation, which lea…

cs.CL20209 cited

Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog

Shen Gao, Xiuying Chen, Li Liu +2

Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by ma…

cs.CL20203 cited

Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism

Pan Xie, Zhi Cui, Xiuyin Chen +3

Non-autoregressive models generate target words in a parallel way, which achieve a faster decoding speed but at the sacrifice of translation accuracy. To remedy a flawed translatio…