activity
20192024
most citedExploring Domain Shift in Extractive Text Summarization

38 citations · 189 across the 27 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 2 cited

Open-Vocabulary Argument Role Prediction for Event Extraction

Yizhu Jiao, Sha Li, Yiqing Xie +3

The argument role in event extraction refers to the relation between an event and an argument participating in it. Despite the great progress in event extraction, existing studies…

cs.CL2022★ 7 cited

Towards a Unified Multi-Dimensional Evaluator for Text Generation

Ming Zhong, Yang Liu, Da Yin +6

Multi-dimensional evaluation is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text from multiple explainable dimen…

cs.CL2022★ 10 cited

COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization

Chenxin An, Ming Zhong, Zhiyong Wu +3

Traditional training paradigms for extractive and abstractive summarization systems always only use token-level or sentence-level training objectives. However, the output summary i…

cs.CL2022★ 5 cited

The Cross-lingual Conversation Summarization Challenge

Yulong Chen, Ming Zhong, Xuefeng Bai +4

We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conve…

cs.CL2022

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision

Yuning Mao, Ming Zhong, Jiawei Han

Scientific extreme summarization (TLDR) aims to form ultra-short summaries of scientific papers. Previous efforts on curating scientific TLDR datasets failed to scale up due to the…

cs.CL2022★ 2 cited

Unsupervised Multi-Granularity Summarization

Ming Zhong, Yang Liu, Suyu Ge +7

Text summarization is a user-preference based task, i.e., for one document, users often have different priorities for summary. As a key aspect of customization in summarization, gr…

cs.CL2022★ 11 cited

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Tianbao Xie, Chen Henry Wu, Peng Shi +20

Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over databases and question answering over knowledge bases.…