most citedMeaningful Answer Generation of E-Commerce Question-Answering

7 citations · 11 across the 4 of their papers we have counts for

collaborators

5 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.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.CL20204 cited

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement

Mingzhe Li, Xiuying Chen, Min Yang +3

Eye-catching headlines function as the first device to trigger more clicks, bringing reciprocal effect between producers and viewers. Producers can obtain more traffic and profits,…

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.CL2020

VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles

Mingzhe Li, Xiuying Chen, Shen Gao +3

A popular multimedia news format nowadays is providing users with a lively video and a corresponding news article, which is employed by influential news media including CNN, BBC, a…