Leveraging Key Information Modeling to Improve Less-Data Constrained
News Headline Generation via Duality Fine-Tuning

Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning

10 October 2022

Di Yin

Papers citing "Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning"

6 / 6 papers shown

Title
Grafting Pre-trained Models for Multimodal Headline Generation Lingfeng Qiao Chen Wu Ye Liu Haoyuan Peng Di Yin Bo Ren 30 5 0 14 Nov 2022
Exploring Multitask Learning for Low-Resource AbstractiveSummarization Ahmed Magooda Mohamed S. Elaraby Diane Litman 36 11 0 17 Sep 2021
Transformer-based Lexically Constrained Headline Generation Kosuke Yamada Yuta Hitomi Hideaki Tamori Ryohei Sasano Naoaki Okazaki Kentaro Inui Koichi Takeda 10 12 0 15 Sep 2021
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 142 156 0 18 Feb 2021
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao Xiang Ren Heng Ji Jiawei Han HILM 115 38 0 24 Oct 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 248 1,417 0 22 Aug 2019