Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline

Bertscore: Evaluating text generation with bert

Original

Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904

Earlier work this paper cites.

Roberta: A robustly optimized bert pretraining approach

Original

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907

Earlier work this paper cites.

ROUGE: A package for automatic evaluation of summaries

Chin-Yew Lin. 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.

Leveraging pyramids

Terry Copeck and Stan Szpakowicz. 2005 · 2005

Earlier work this paper cites.

Leveraging duc

Terry Copeck, Diana Inkpen, Anna Kazantseva, Alistair Kennedy, Darren Kipp, Vivi Nastase, and Stan Szpakowicz. 2006 · 2006

Earlier work this paper cites.

Catch what you can

Terry Copeck, Diana Inkpen, Anna Kazantseva, Alistair Kennedy, Darren Kipp, and Stan Szpakowicz. 2007 · 2007

Earlier work this paper cites.

Update summary update

Terry Copeck, Anna Kazantseva, Alistair Kennedy, Alex Kunadze, Diana Inkpen, and Stan Szpakowicz. 2008 · 2008

Earlier work this paper cites.

Back to basics for monolingual alignment: Exploiting word similarity and contextual evidence

Md Arafat Sultan, Steven Bethard, and Tamara Sumner. 2014 · 2014

Earlier work this paper cites.

Teaching machines to read and comprehend

Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015

Cited alongside, same era.

PEAK: Pyramid evaluation via automated knowledge extraction

Qian Yang, Rebecca J. Passonneau, and Gerard de Melo. 2016 · 2016

Cited alongside, same era.

Summarunner: A recurrent neural network based sequence model for extractive summarization of documents

Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017

Cited alongside, same era.

Supervised learning of automatic pyramid for optimization-based multi-document summarization

Maxime Peyrard and Judith Eckle-Kohler. 2017 · 2017

Cited alongside, same era.

Fast abstractive summarization with reinforce-selected sentence rewriting

Yen-Chun Chen and Mohit Bansal. 2018 · 2018

Cited alongside, same era.

Bottom-up abstractive summarization

Towards annotating and creating summary highlights at sub-sentence level

Kristjan Arumae, Parminder Bhatia, and Fei Liu. 2019 · 2019

Later among the works it cites.

Improving the similarity measure of determinantal point processes for extractive multi-document summarization

Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, and Fei Liu. 2019 · 2019

Later among the works it cites.

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

Later among the works it cites.

Scoring sentence singletons and pairs for abstractive summarization

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

Later among the works it cites.

Document understanding conferences

NIST. 2014 · 2019

Later among the works it cites.