Salience Allocation as Guidance for Abstractive Summarization

Salience Allocation as Guidance for Abstractive Summarization

22 October 2022

Fei Wang

Wenlin Yao

Papers citing "Salience Allocation as Guidance for Abstractive Summarization"

7 / 7 papers shown

Title
Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization Gaurav Sahu Olga Vechtomova I. Laradji 31 1 0 16 Nov 2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review Guanghua Wang Weili Wu AI4TS AILaw 33 3 0 13 Oct 2023
OASum: Large-Scale Open Domain Aspect-based Summarization Xianjun Yang Kaiqiang Song Sangwoo Cho Xiaoyang Wang Xiaoman Pan Linda R. Petzold Dong Yu RALM 26 24 0 19 Dec 2022
Summarization as Indirect Supervision for Relation Extraction K. Lu I-Hung Hsu Wenxuan Zhou Mingyu Derek Ma Muhao Chen 65 52 0 19 May 2022
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 55 14 0 14 Sep 2021
Table-based Fact Verification with Salience-aware Learning Fei Wang Kexuan Sun Jay Pujara Pedro A. Szekely Muhao Chen LMTD 41 21 0 09 Sep 2021
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian Raymond Li Jonathan Pilault C. Pal 235 215 0 07 Sep 2019