How "Multi" is Multi-Document Summarization?

On faithfulness and factuality in abstractive summarization

Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020 · 1919

Earlier work this paper cites.

Lexrank: Graph-based lexical centrality as salience in text summarization

Günes Erkan and Dragomir R. Radev. 2004 · 2004

Earlier work this paper cites.

Evaluating content selection in summarization: The pyramid method

Ani Nenkova and Rebecca Passonneau. 2004 · 2004

Earlier work this paper cites.

Open information extraction from the web

Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni. 2008 · 2008

Earlier work this paper cites.

Tackling redundancy in text summarization through different levels of language analysis

Elena Lloret and Manuel Palomar. 2013 · 2013

Earlier work this paper cites.

Get to the point: Summarization with pointer-generator networks

Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017

Earlier work this paper cites.

Newsroom: A dataset of 1.3 million summaries with diverse extractive strategies

Max Grusky, Mor Naaman, and Yoav Artzi. 2018 · 2018

Earlier work this paper cites.

Adapting the neural encoder-decoder framework from single to multi-document summarization

Logan Lebanoff, Kaiqiang Song, and Fei Liu. 2018 · 2018

Earlier work this paper cites.

Supervised open information extraction

Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan. 2018 · 2018

Cited alongside, same era.

Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model

Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev. 2019 · 2019

Cited alongside, same era.

Earlier isn’t always better: Sub-aspect analysis on corpus and system biases in summarization

Taehee Jung, Dongyeop Kang, Lucas Mentch, and Eduard Hovy. 2019 · 2019

Cited alongside, same era.

Analyzing sentence fusion in abstractive summarization

Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, and Fei Liu. 2019 · 2019

Cited alongside, same era.

Document understanding conferences

NIST · 2019

Cited alongside, same era.

Document understanding conferences

NIST. 2014 · 2019

Evaluating the factual consistency of abstractive text summarization

Wojciech Kryscinski, Bryan McCann, Caiming Xiong, and Richard Socher. 2020 · 2020

Later among the works it cites.

Multi-document summarization with maximal marginal relevance-guided reinforcement learning

Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, and Jiawei Han. 2020 · 2020

Later among the works it cites.

Systematically exploring redundancy reduction in summarizing long documents

Wen Xiao and Giuseppe Carenini. 2020 · 2020

Later among the works it cites.

MSˆ2: Multi-document summarization of medical studies

Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, and Lucy Wang. 2021 · 2021

Later among the works it cites.

Summary-source proposition-level alignment: Task, datasets and supervised baseline

Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, and Ido Dagan. 2021 · 2021

Later among the works it cites.