Don't Say What You Don't Know: Improving the Consistency of Abstractive
Summarization by Constraining Beam Search

Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search

16 March 2022

Nishant Subramani

Papers citing "Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search"

12 / 12 papers shown

Title
TOPICAL: TOPIC Pages AutomagicaLly John Giorgi Amanpreet Singh Doug Downey Sergey Feldman Lucy Lu Wang MedIm 39 0 0 03 May 2024
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation A. Sridhar Yinyi Guo Erik M. Visser Rehana Mahfuz 32 5 0 06 Sep 2023
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond Haw-Shiuan Chang Zonghai Yao Alolika Gon Hong-ye Yu Andrew McCallum 43 10 0 20 May 2023
A Method to Automate the Discharge Summary Hospital Course for Neurology Patients Vince C. Hartman Sanika S. Bapat M. Weiner B. Navi E. Sholle T. Campion 32 18 0 10 May 2023
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency Wen Xiao Giuseppe Carenini HILM 34 16 0 07 Sep 2022
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities Zejiang Shen Kyle Lo L. Yu N. Dahlberg Margo Schlanger Doug Downey ELM AILaw 37 43 0 22 Jun 2022
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 305 0 27 Apr 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 144 157 0 18 Feb 2021
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao Xiang Ren Heng Ji Jiawei Han HILM 123 38 0 24 Oct 2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints Zhenyi Wang Xiaoyang Wang Bang An Dong Yu Changyou Chen LMTD 168 84 0 03 May 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 175 3,510 0 10 Jun 2015