Year	Conf.	Concept	Cited	Paper	Authors	Url
2019	SIGKDD	eval-aspect-factuality	2	Assessing The Factual Accuracy of Generated Text	Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J Liu	https://arxiv.org/pdf/1905.13322.pdf
2019	Arxiv	eval-aspect-factuality	0	Evaluating the Factual Consistency of Abstractive Text Summarization	Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher	https://arxiv.org/pdf/1910.12840.pdf
2019	EMNLP	arch-att	6	Neural Text Summarization: A Critical Evaluation	Wojciech Kryscinski,Nitish Shirish Keskar,Bryan McCann,Caiming Xiong,Richard Socher	https://arxiv.org/pdf/1908.08960.pdf
2018	EMNLP	task-knowledge	38	Improving Abstraction in Text Summarization	Wojciech Kryscinski,Romain Paulus,Caiming Xiong,Richard Socher	https://arxiv.org/pdf/1808.07913.pdf
2018	AAAI	gen-ext	43	Faithful to the Original: Fact Aware Neural Abstractive Summarization	Ziqiang Cao,Furu Wei,Wenjie Li,Sujian Li	https://arxiv.org/pdf/1711.04434.pdf
2017	ACL	arch-cnn	605	Get To The Point: Summarization with Pointer-Generator Networks	Abigail See,Peter J. Liu,Christopher D. Manning	https://arxiv.org/pdf/1704.04368.pdf
2019	ACL	eval-aspect-factuality	1	Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference	Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych	https://www.aclweb.org/anthology/P19-1213.pdf