Recovering Missing Key Information: An Aspect-guided Generator for Abstractive Multi-document Summarization

May 1, 2023·
Haotian Chen
Haotian Chen
,
Han Zhang
,
Houjing Guo
,
Shuchang Yi
,
Bingsheng Chen
,
Xiangdong Zhou
· 0 min read
Abstract
We propose an entity-guided multi-document information summarization method that dynamically captures, compares, and monitors entity-related information for generating comprehensive summaries.
Type
Publication
In Database Systems for Advanced Applications (DASFAA 2023)
publications
Haotian Chen
Authors
Research Assistant Professor
I am a Research Assistant Professor at the School of Artificial Intelligence, Shanghai Jiao Tong University, where I work with Prof. Junchi Yan at RethinkLab. I study how to build AI systems that can automate long-horizon, effort-intensive, and creativity-demanding tasks such as research, engineering, and development. My current work focuses on autonomous agents, large language models, and AI4Research. Before joining SJTU, I received my PhD in Data Science from Fudan University, advised by Prof. Xiangdong Zhou, and completed postdoctoral research at Tsinghua University (THUNLP), working with Prof. Zhiyuan Liu and Prof. Maosong Sun. I was also a research intern at the Machine Learning Research Group of Microsoft Research Asia, mentored by Xiao Yang, and at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, working with Prof. Yang Yu.