Summarization Papers

Contributed by Xiachong Feng, Yichong Huang (Factual Consistency), Haozheng Yang (Multi-Document)

This repo contains a list of summarization papers including various topics. If any error, please open an issue.

For summarization, Text Summarization Papers is one great project powered by Dr. Pengfei Liu.

For more topics, please refer to another repo xcfcode/What-I-Have-Read, including Meta Learning, Graph Neural Networks (GNN), Knowledge Distillation, Pre-trained Language Models, Natural Language Generation and several survey and paper slides. Other excellent Repos: yizhen20133868/NLP-Conferences-Code, teacherpeterpan/Question-Generation-Paper-List, thunlp/PLMpapers, thu-coai/PaperForONLG, NiuTrans/ABigSurvey.

Benchmark

• GLGE: A New General Language Generation Evaluation Benchmark Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan [pdf] [benchmark]

Content

• Summarization Papers
  • Benchmark
  • Content
  • Presentations && Notes
  • Survey
  • Analysis
  • Theory
  • Dataset
  • Scientific Document
  • Factual Consistency
  • Sentiment Related
  • Pretrain Based
  • Guided
  • Dialogue
  • Graph-Based
  • Multi-Document
  • Cross-Lingual
  • Unsupervised
  • Multi-modal
  • Concept-map-based
  • Timeline
  • Opinion
  • Reinforcement Learning
  • Reward Learning
  • Controllable
  • Extractive
  • Abstractive
  • Extractive-Abstractive
  • VAE
  • Syntactic
  • QA Related
  • Evaluation
  • Query
  • EncoderFusion
  • Discourse
  • Movie
  • Low Resource
  • Contrastive Learning
  • Toolkit

Presentations && Notes

• Multi-modal Summarization
• ACL20 Summarization
• 文本摘要简述 (Chinese)
• ACL19 Summarization
• Brief intro to summarization (Chinese)
• EMNLP19 Summarization (Chinese)
• ACL19-A Simple Theoretical Model of Importance for Summarization
• ACL19-Multimodal Abstractive Summarization for How2 Videos

Survey

1. A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization AYESHA AYUB SYED, FORD LUMBAN GAOL, TOKURO MATSUO [pdf]
2. Automatic summarization of scientific articles: A survey Nouf Ibrahim Altmami, Mohamed El Bachir Menai Journal of King Saud University - Computer and Information Sciences [pdf]
3. Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng [pdf]
4. Deep Learning Based Abstractive Text Summarization: Approaches, Datasets, Evaluation Measures, and Challenges Dima Suleiman, Arafat A. Awajan [pdf]
5. A Survey of Knowledge-Enhanced Text Generation Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang [pdf]
6. From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan IJCAI20 [pdf]
7. Neural Abstractive Text Summarization with Sequence-to-Sequence Models Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy [pdf]
8. A Survey on Neural Network-Based Summarization Methods Yue Dong [pdf]
9. Automated text summarisation and evidence-based medicine: A survey of two domains Abeed Sarker, Diego Molla, Cecile Paris [pdf]
10. Automatic Keyword Extraction for Text Summarization: A Survey Santosh Kumar Bharti, Korra Sathya Babu [pdf]
11. Text Summarization Techniques: A Brief Survey Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys Kochut [pdf]
12. Recent automatic text summarization techniques: a survey Mahak Gambhir, Vishal Gupta [pdf]

Analysis

1. What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke [pdf]
2. Intrinsic Evaluation of Summarization Datasets Rishi Bommasani, Claire Cardie EMNLP20 [pdf]
3. Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu COLING20 Short [pdf] [code]
4. At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization Qingyu Zhou, Furu Wei, Ming Zhou COLING20 [pdf]
5. Corpora Evaluation and System Bias detection in Multi Document Summarization Alvin Dey, Tanya Chowdhury, Yash Kumar, Tanmoy Chakraborty Findings of EMNLP [pdf]
6. Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries Daniel Deutsch, Dan Roth [pdf] [code]
7. Understanding Neural Abstractive Summarization Models via Uncertainty Jiacheng Xu, Shrey Desai, Greg Durrett EMNLP20 Short [pdf] [code]
8. Re-evaluating Evaluation in Text Summarization Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig EMNLP20 [pdf] [code]
9. CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang EMNLP20 [pdf] [code]
10. What Have We Achieved on Text Summarization? Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang EMNLP20 [pdf]
11. Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization Zhengyuan Liu, Ke Shi, Nancy F. Chen Findings of EMNLP20 [pdf]
12. Extractive Summarization as Text Matching Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang ACL20 [pdf] [code]
13. Neural Text Summarization: A Critical Evaluation Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher EMNLP19 [pdf]
14. Earlier Isn’t Always Better:Sub-aspect Analysis on Corpus and System Biases in Summarization Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy EMNLP19 [pdf] [code]
15. A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang EMNLP19 Workshop [pdf]
16. Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis EMNLP19 Short [pdf]
17. Searching for Effective Neural Extractive Summarization: What Works and What's Next Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang ACL19 [pdf] [code]
18. Content Selection in Deep Learning Models of Summarization Chris Kedzie, Kathleen McKeown, Hal Daumé III EMNLP18 [pdf] [code]

Theory

1. Principled Approaches to Automatic Text Summarization Maxime Peyrard [pdf]
2. KLearn: Background Knowledge Inference from Summarization Data Maxime Peyrard, Robert West Findings of EMNLP20 [pdf] [code]
3. A Simple Theoretical Model of Importance for Summarization Maxime Peyrard ACL19 [pdf]
4. BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle Peter West, Ari Holtzman, Jan Buys, Yejin Choi EMNLP19 [pdf] [code]

Dataset

ID	Name	Description	Paper	Conference
1	CNN-DailyMail	News	Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond	SIGNLL16
2	New York Times	News	The New York Times Annotated Corpus
3	DUC	News	The Effects Of Human Variation In DUC Summarization Evaluation
4	Gigaword	News	A Neural Attention Model For Abstractive Sentence Summarization	EMNLP15
5	Newsroom	News	Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies	NAACL18
6	Xsum	News	Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization	EMNLP18
7	Multi-News	Multi-document News	Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model	ACL19
8	SAMSum	Multi-party conversation	SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization	EMNLP19
9	AMI	Meeting	The AMI Meeting Corpus: A pre-announcement.
10	ICSI	Meeting	The ICSI Meeting Corpus
11	MSMO	Multi-modal	MSMO: Multimodal Summarization with Multimodal Output	EMNLP18
12	How2	Multi-modal	How2: A Large-scale Dataset for Multimodal Language Understanding	NIPS18
13	ScisummNet	Scientific paper	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks	AAAI19
14	PubMed, ArXiv	Scientific paper	A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents	NAACL18
15	TALKSUMM	Scientific paper	TALKSUMM: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks	ACL19
16	BillSum	Legal	BillSum: A Corpus for Automatic Summarization of US Legislation	EMNLP19
17	LCSTS	Chinese Weibo	LCSTS: A Large Scale Chinese Short Text Summarization Dataset	EMNLP15
18	WikiHow	Online Knowledge Base	WikiHow: A Large Scale Text Summarization Dataset
19	Concept-map-based MDS Corpus	Educational Multi-document	Bringing Structure into Summaries : Crowdsourcing a Benchmark Corpus of Concept Maps	EMNLP17
20	WikiSum	Wikipedia Multi-document	Generating Wikipedia By Summarizing Long Sequence	ICLR18
21	GameWikiSum	Game Multi-document	GameWikiSum : a Novel Large Multi-Document Summarization Dataset	LREC20
22	En2Zh CLS, Zh2En CLS	Cross-Lingual	NCLS: Neural Cross-Lingual Summarization	EMNLP19
23	Timeline Summarization Dataset	Baidu timeline	Learning towards Abstractive Timeline Summarization	IJCAI19
24	Reddit TIFU	online discussion	Abstractive Summarization of Reddit Posts with Multi-level Memory Networks	NAACL19
25	TripAtt	Review	Attribute-aware Sequence Network for Review Summarization	EMNLP19
26	Reader Comments Summarization Corpus	Comments-based Weibo	Abstractive Text Summarization by Incorporating Reader Comments	AAAI19
27	BIGPATENT	Patent	BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization	ACL19
28	Curation Corpus	News	Curation Corpus for Abstractive Text Summarisation
29	MATINF	Multi-task	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization	ACL20
30	MLSUM	Multi-Lingual Summarization Dataset	MLSUM: The Multilingual Summarization Corpus	EMNLP20
31	Dialogue(Debate)	Argumentative Dialogue Summary Corpus	Using Summarization to Discover Argument Facets in Online Idealogical Dialog	NAACL15
32	WCEP	News Multi-document	A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal	ACL20 Short
33	ArgKP	Argument-to-key Point Mapping	From Arguments to Key Points: Towards Automatic Argument Summarization	ACL20
34	CRD3	Dialogue	Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset	2020
35	Gazeta	Russian news	Dataset for Automatic Summarization of Russian News
36	MIND	English news recommendation, Summarization, Classification, Entity	MIND: A Large-scale Dataset for News Recommendation	ACL20
37	public_meetings	french meeting(test set)	Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation	LREC
38	Enron	Email	Building a Dataset for Summarization and Keyword Extraction from Emails	2014
39	Columbia	Email	Summarizing Email Threads	2004
40	BC3	Email	A publicly available annotated corpus for supervised email summarization
41	WikiLingua	Cross-Lingual	WikiLingua- A New Benchmark Dataset for Cross-Lingual Abstractive Summarization	Findings of EMNLP20
42	LcsPIRT	Chinese Dialogue	Global Encoding for Long Chinese Text Summarization	TALLIP
43	CLTS，CLTS-plus	Chinese News	CLTS: A New Chinese Long Text Summarization Dataset	NLPCC20
44	VMSMO	Multi-modal	VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles	EMNLP20
45	Multi-XScience	Multi-document	Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles	EMNLP20 short
46	SCITLDR	Scientific Document	TLDR: Extreme Summarization of Scientific Documents	Findings of EMNLP20
47	scisumm-corpus	Scientific Document
48	QBSUM	Query-Based Chinese	QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications	Computer Speech & Language
49	qMDS	Query-Based Multi-Document	AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization
50	Liputan6	Indonesian	Liputan6: A Large-scale Indonesian Dataset for Text Summarization	AACL20
51	SportsSum	Sports Game	Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization	AACL20
52	WikiAsp	Aspect-based	WikiAsp: A Dataset for Multi-domain Aspect-based Summarization	Transaction of the ACL
53	DebateSum	argument	DebateSum:A large-scale argument mining and summarization dataset	ARGMIN 2020
54	Open4Business	Business	Open4Business (O4B): An Open Access Dataset for Summarizing Business Documents	Workshop on Dataset Curation and Security-NeurIPS 2020
55	OrangeSum	French	BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
56	Medical Conversation	medical conversation	Summarizing Medical Conversations via Identifying Important Utterances	COLING20
57	SumTitles	movie dialogue	SumTitles: a Summarization Dataset with Low Extractiveness	COLING20
58	BANS	bengali news	Bengali Abstractive News Summarization (BANS): A Neural Attention Approach	TCCE-2020
59	e-commerce	E-commerce	On the Faithfulness for E-commerce Product Summarization	COLING20
60	TWEETSUM	Twitter	TWEETSUM: Event-oriented Social Summarization Dataset	COLING20
61	SPACE	Opinion	Extractive Opinion Summarization in Quantized Transformer Spaces	TACL
62	pn-summary	Persian	Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization	csicc2021
63	E-commerce1desensitized	Dialogue	Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling	AAAI21
64	E-commerce2desensitized	Dialogue	Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders	AAAI21
65	BengaliSummarization	Bengali	Unsupervised Abstractive Summarization of Bengali Text Documents	EACL21
66	MediaSum	Dialogue	MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization	NAACL21

Scientific Document

1. Long Document Summarization in a Low Resource Setting using Pretrained Language Models Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum [pdf]
2. Summaformers @ LaySumm 20, LongSumm 20 Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma SDP EMNLP20 [pdf]
3. On Generating Extended Summaries of Long Documents Sajad Sotudeh, Arman Cohan, Nazli Goharian SDU21 [pdf] [code]
4. Self-Supervised Learning for Visual Summary Identification in Scientific Publications Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, Shigeo Morishima [pdf]
5. Systematically Exploring Redundancy Reduction in Summarizing Long Documents Wen Xiao, Giuseppe Carenini AACL20 [pdf [code]
6. On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal EMNLP20 [pdf]
7. Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung [pdf] [code]
8. SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan [pdf] [code]
9. Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks Peng Cui, Le Hu, Yuanchao Liu COLING20 [pdf]
10. Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles Yao Lu, Yue Dong, Laurent Charlin EMNLP20 Short [pdf] [data]
11. TLDR: Extreme Summarization of Scientific Documents Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld Findings of EMNLP20 [pdf] [data]
12. Extractive Summarization of Long Documents by Combining Global and Local Context Wen Xiao, Giuseppe Carenini EMNLP19 [pdf] [code]
13. ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev AAAI19 [pdf] [data]
14. TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki ACL19 [pdf] [data]
15. A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian NAACL18 [pdf] [data]

Factual Consistency

1. Enhancing Factual Consistency of Abstractive Summarization Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang NAACL21 [pdf]
2. 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 EACL21 [pdf] [code]
3. On the Faithfulness for E-commerce Product Summarization Peng Yuan, Haoran Li, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou COLING20 [pdf] [code]
4. FFCI: A Framework for Interpretable Automatic Evaluation of Summarization Fajri Koto, Jey Han Lau, Timothy Baldwin [pdf] [code]
5. GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig NAACL21 [pdf] [code]
6. Truth or Error? Towards systematic analysis of factual errors in abstractive summaries Klaus-Michael Lux, Maya Sappelli, Martha Larson EMNLP | Eval4NLP 20 [pdf]
7. Detecting Hallucinated Content in Conditional Neural Sequence Generation Chunting Zhou, Jiatao Gu, Mona Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad [pdf]
8. Go Figure! A Meta Evaluation of Factuality in Summarization Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao [pdf]
9. Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han [pdf]
10. Factual Error Correction for Abstractive Summarization Models Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung EMNLP20 short [pdf] [code]
11. Multi-Fact Correction in Abstractive Text Summarization. Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu EMNLP20 [pdf]
12. Factual Error Correction for Abstractive Summarization Models Cao Meng, Yue Cheung Dong, Jiapeng Wu, and Jackie Chi Kit EMNLP20 [pdf]
13. Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher EMNLP20 [pdf] [code]
14. Reducing Quantity Hallucinations in Abstractive Summarization Zheng Zhao, Shay B. Cohen, Bonnie Webber Findings of EMNLP [pdf]
15. On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan McDonaldACL20 [pdf] [data]
16. Improving Truthfulness of Headline Generation Kazuki Matsumaru, Sho Takase, Naoaki Okazaki ACL20[pdf]
17. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports Yuhao Zhang, Derek Merck, Emily Bao Tsai, Christopher D. Manning, Curtis P. Langlotz ACL20[pdf]
18. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus, He He, Mona Diab ACL20 [pdf] [code]
19. Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Wang, Kyunghyun Cho, Mike Lewis ACL20 [pdf] [code]
20. Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward Luyang Huang, Lingfei Wu, Lu Wang ACL20 [pdf]
21. Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang NIPS19 [pdf]
22. Assessing The Factual Accuracy of Generated Text Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J Liu KDD19 [pdf]
23. 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 ACL19 [pdf] [data]
24. Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong COLING18 [pdf] [code]
25. Faithful to the Original: Fact-Aware Neural Abstractive Summarization Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li AAAI18 [pdf]
26. FAR-ASS：Fact-aware reinforced abstractive sentence summarization MengLi Zhanga, Gang Zhoua, Wanting Yua, Wenfen Liub [pdf]

Sentiment Related

1. Making the Best Use of Review Summary for Sentiment Analysis Sen Yang, Leyang Cui, Jun Xie, Yue Zhang COLING20 [pdf] [code] [bib]
2. A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss Hou Pong Chan, Wang Chen, Irwin King SIGIR20 [pdf] [code]
3. A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren IJCAI18 [pdf]
4. Two-level Text Summarization from Online News Sources with Sentiment Analysis Tarun B. Mirani, Sreela Sasi IEEE17 [pdf]
5. Creating Video Summarization From Emotion Perspective Yijie Lan, Shikui Wei, Ruoyu Liu, Yao Zhao ICSP16 [pdf]

Pretrain Based

1. Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT Ruifeng Yuan, Zili Wang, Wenjie Li COLING20 [pdf] [code]
2. Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning Travis Goodwin, Max Savery, Dina Demner-Fushman Findings of EMNLP [pdf] [code]
3. Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq Joty, Dragomir Radev, Yashar Mehdad [pdf]
4. Pre-trained Summarization Distillation Sam Shleifer, Alexander M. Rush [pdf] [code]
5. Pre-training for Abstractive Document Summarization by Reinstating Source Text Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou EMNLP20 [pdf] [code]
6. PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si EMNLP20 [pdf]
7. TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising Ziyi Yang Chenguang Zhu Robert Gmyr Michael Zeng Xuedong Huang Eric Darve Findings of EMNLP20 [pdf]
8. QURIOUS: Question Generation Pretraining for Text Generation Shashi Narayan, Gonçalo Simoes, Ji Ma, Hannah Craighead, Ryan Mcdonald ACL20 Short [pdf]
9. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu ICML20 [pdf] [code]
10. Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling Dmitrii Aksenov, Julián Moreno-Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm LREC20 [pdf]
11. Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models Dmitrii Aksenov, Julián Moreno-Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm [pdf]
12. Learning by Semantic Similarity Makes Abstractive Summarization Better Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang ICML20 [pdf] [code]
13. Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang [pdf]
14. Text Summarization with Pretrained Encoders Yang Liu, Mirella Lapata EMNLP19 [pdf] [code]
15. HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization Xingxing Zhang, Furu Wei, Ming Zhou ACL19 [pdf]
16. MASS: Masked Sequence to Sequence Pre-training for Language Generation Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu ICML19 [pdf] [code]
17. Pretraining-Based Natural Language Generation for Text Summarization Haoyu Zhang, Jianjun Xu, Ji Wang [pdf]
18. Fine-tune BERT for Extractive Summarization Yang Liu [pdf] [code]
19. Unified Language Model Pre-training for Natural Language Understanding and Generation Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon NIPS19 [pdf] [code]
20. Self-Supervised Learning for Contextualized Extractive Summarization Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang ACL19 [pdf] [code]
21. Efficient Adaptation of Pretrained Transformers for Abstractive Summarization Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi [pdf] [code]

Guided

1. Controllable Abstractive Sentence Summarization with Guiding Entities Changmeng Zheng, Yi Cai, Guanjie Zhang, Qing Li COLING20 [pdf] [code]
2. GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig NAACL21 [pdf] [code]
3. Abstractive summarization with combination of pre-trained sequence-to-sequence and saliency models Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Junji Tomita [pdf]
4. Keywords-Guided Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He AAAI20 [pdf]
5. SemSUM: Semantic Dependency Guided Neural Abstractive Summarization Hanqi Jin, Tianming Wang, Xiaojun Wan AAAI2020 [pdf] [code]
6. Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang arXiv20 [pdf]
7. BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization Kai Wang, Xiaojun Quan, Rui Wang ACL19 [pdf] [code]
8. Improving Abstractive Document Summarization with Salient Information Modeling Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang ACL19 [pdf] [code]
9. Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei ACL18 [pdf]
10. Guiding Generation for Abstractive Text Summarization based on Key Information Guide Network Chenliang Li, Weiran Xu, Si Li, Sheng Gao NAACL18 [pdf]
11. Controllable Abstractive Summarization Angela Fan, David Grangier, Michael Auli ACL2018 Workshop [pdf]
12. Generating Wikipedia By Summarizing Long Sequence Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer ICLR18 [pdf] [code]

Dialogue

1. MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng NAACL21 [pdf] [code]
2. Abstractive meeting summarization based on an attentional neural model Nouha Dammak, Yassine BenAyed [pdf]
3. Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu [pdf]
4. Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization Prakhar Ganesh, Saket Dingliwal [pdf]
5. How Domain Terminology Affects Meeting Summarization Performance Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu COLING20 Short [pdf] [code]
6. A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang Findings of EMNLP20 [pdf] [code] [unofficial-code]
7. Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke ACL19 [pdf]
8. Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts Chih-Wen Goo, Yun-Nung Chen SLT18 [pdf] [code]
9. Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Jean-Pierre Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré ACL18 [pdf] [code]
10. Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning Zhou Zhao, Haojie Pan, Changjie Fan, Yan Liu, Linlin Li, Min Yang WWW19 [pdf]
11. Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed AAAI21 [pdf]
12. Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu AAAI21 [pdf] [code]
13. Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu AAAI21 [pdf] [code]
14. Automatic Dialogue Summary Generation for Customer Service Chunyi Liu, Peng Wang, Jiang Xu, Zang Li and Jieping Ye KDD19 [pdf]
15. Abstractive Dialog Summarization with Semantic Scaffolds Lin Yuan, Zhou Yu [pdf]
16. SumTitles: a Summarization Dataset with Low Extractiveness Valentin Malykh, Konstantin Chernis, Ekaterina Artemova, Irina Piontkovskaya COLING20 [pdf] [code]
17. Summarizing Medical Conversations via Identifying Important Utterances Yan Song, Yuanhe Tian, Nan Wang, Fei Xia COLING20 [pdf] [code]
18. Dr.Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan Findings of EMNLP20 [pdf]
19. Medical Dialogue Summarization for Automated Reporting in Healthcare Sabine Molenaar, Lientje Maas, Verónica Burriel, Fabiano Dalpiaz,Sjaak Brinkkemper Advanced Information Systems Engineering Workshops 2020 [pdf]
20. Generating Medical Reports from Patient-Doctor Conversations using Sequence-to-Sequence Models Seppo Enarvi, Marilisa Amoia, Miguel Del-Agua Teba, Brian Delaney, Frank Diehl, Stefan Hahn, Kristina Harris, Liam McGrath, Yue Pan, Joel Pinto, Luca Rubini, Miguel Ruiz, Gagandeep Singh, Fabian Stemmer, Weiyi Sun, Paul Vozila, Thomas Lin, Ranjani Ramamurthy ACL20 Short [pdf]
21. Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations Nazmul Kazi, Indika Kahanda NAACL19 [pdf]
22. Generating SOAP Notes from Doctor-Patient Conversations Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton [pdf]
23. Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation Wen-wai Yim, Meliha Yetisgen, Jenny Huang, Micah Grossman LREC20 [pdf]
24. Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations Zhengyuan Liu, Angela Ng, Sheldon Lee, Ai Ti Aw, Nancy F. Chen ASRU2019 [pdf]
25. CorDial: Coarse-to-fine Abstractive Dialogue Summarization with Controllable Granularity Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong [pdf]
26. Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words Lulu Zhao, Weiran Xu, Jun Guo COLING20 [pdf]
27. Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu [pdf]
28. Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization Jiaao Chen, Diyi Yang EMNLP20 [pdf] [code]
29. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer EMNLP19 [pdf] [data]
30. Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations Ryuji Kano, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma AACL20 [pdf]
31. A Two-Phase Approach for Abstractive Podcast Summarization Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan TREC 2020 Podcasts Track [pdf]
32. Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset Revanth Rameshkumar, Peter Bailey ACL20 [pdf] [data]
33. Dial2Desc: End-to-end Dialogue Description Generation Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, Min Yang [pdf]

Graph-Based

1. Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang EMNLP20 [pdf] [code]
2. Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks Peng Cui, Le Hu, Yuanchao Liu COLING20 [pdf]
3. Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang ACL20 [pdf] [code]
4. Structured Neural Summarization Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt ICLR19 [pdf] [code]
5. Hierarchical Transformers for Multi-Document Summarization Yang Liu, Mirella Lapata ACL19 [pdf] [code]
6. Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini, Boi Faltings EMNLP19 [pdf]
7. Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev CoNLL17 [pdf]
8. Abstractive Document Summarization with a Graph-Based Attentional Neural Model Jiwei Tan, Xiaojun Wan, Jianguo Xiao ACL17 [pdf]

Multi-Document

1. Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article Yuly Haruka Berliana Gunawan, Masayu Leylia Khodra [pdf]
2. Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization Travis Goodwin, Max Savery, Dina Demner-Fushman COLING20 [pdf]
3. Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization Hanqi Jin, Xiaojun Wan Findings of EMNLP [pdf] [code]
4. Coarse-to-Fine Query Focused Multi-Document Summarization Yumo Xu, Mirella Lapata EMNLP20 [pdf] [code] [code]
5. WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang COLING20 Short [pdf] [code]
6. AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization Sayali Kulkarni, Sheide Chammas, Wan Zhu, Fei Sha, Eugene Ie [pdf] [data]
7. Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han EMNLP20 [pdf] [code]
8. Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang ACL20 [pdf] [code]
9. Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization Hanqi Jin, Tianming Wang, Xiaojun Wan ACL20 [pdf]
10. SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization Yang Gao, Wei Zhao, Steffen Eger ACL20 [pdf] [code]
11. Leveraging Graph to Improve Abstractive Multi-Document Summarization Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, Junping Du ACL20 [pdf] [code]
12. Generating Representative Headlines for News Stories Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski WWW20 [pdf] [code]
13. Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini, Boi Faltings EMNLP19 [pdf]
14. Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu ACL19 [pdf] [code]
15. Hierarchical Transformers for Multi-Document Summarization Yang Liu, Mirella Lapata ACL19 [pdf] [code]
16. MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu ICML19 [pdf] [code]
17. Generating Wikipedia By Summarizing Long Sequence Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer ICLR18 [pdf] [code]
18. Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization Logan Lebanoff, Kaiqiang Song, Fei Liu EMNLP18 [pdf] [code]
19. Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev CoNLL17 [pdf]
20. Improving Multi-Document Summarization via Text Classification Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei AAAI17 [pdf]
21. An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model Shulei Ma, Zhi-Hong Deng, Yunlun Yang COLING16 [pdf]
22. Event-Centric Summary Generation Lucy Vanderwende Michele Banko Arul Menezes ACL04 [pdf]

Cross-Lingual

1. Cross-lingual Approach to Abstractive Summarization Aleš Žagar, Marko Robnik-Šikonja [pdf]
2. Mixed-Lingual Pre-training for Cross-lingual Summarization Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang AACL20 [pdf]
3. Multi-Task Learning for Cross-Lingual Abstractive Summarization Sho Takase, Naoaki Okazaki [pdf]
4. WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen McKeown Findings of EMNLP20 [pdf] [data]
5. A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov ACL20 workshop [pdf] [code]
6. Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization Yue Cao, Hui Liu, Xiaojun Wan ACL20 [pdf]
7. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization Junnan Zhu, Yu Zhou, Jiajun Zhang, Chengqing Zong ACL20 [pdf] [code]
8. MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization Yue Cao, Xiaojun Wan, Jinge Yao, Dian Yu AAAI20 [pdf] [code]
9. Global Voices: Crossing Borders in Automatic News Summarization Khanh Nguyen, Hal Daumé III EMNLP19 workshop [pdf] [data]
10. NCLS: Neural Cross-Lingual Summarization Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong EMNLP19 [pdf] [code]
11. Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo ACL19 [pdf] [code]
12. A Robust Abstractive System for Cross-Lingual Summarization Jessica Ouyang, Boya Song, Kathy McKeown NAACL19 [pdf]
13. Cross-Lingual Korean Speech-to-Text Summarization HyoJeon Yoon, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, Dosam Hwang ACIIDS19 [pdf]
14. Cross-language document summarization via extraction and ranking of multiple summaries Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang & Jin-ge Yao [pdf]
15. Zero-Shot Cross-Lingual Neural Headline Generation Shi-qi Shen, Yun Chen, Cheng Yang, Zhi-yuan Liu, Mao-song Sun TASLP18 [pdf]
16. Cross-Language Text Summarization using Sentence and Multi-Sentence Compression Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares NLDB18 [pdf]
17. Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing Jiajun Zhang, Yu Zhou, Chengqing Zong TASLP16 [pdf]
18. Phrase-based Compressive Cross-Language Summarization Jin-ge Yao ,Xiaojun Wan ,Jianguo Xiao ACL15 [pdf]
19. Multilingual Single-Document Summarization with MUSE Marina Litvak, Mark Last MultiLing13 [pdf]
20. Using bilingual information for cross-language document summarization Xiaojun Wan ACL11 [pdf]
21. Cross-language document summarization based on machine translation quality prediction Xiaojun Wan, Huiying Li, Jianguo Xiao ACL10 [pdf]

Unsupervised

1. Unsupervised Opinion Summarization with Content Planning Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata AAAI21 [pdf] [code]
2. Biased TextRank: Unsupervised Graph-Based Content Extraction Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea COLING20 [pdf] [code]
3. Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou [pdf] [code]
4. Q-learning with Language Model for Edit-based Unsupervised Summarization Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana EMNLP20 [pdf] [code]
5. Abstractive Document Summarization without Parallel Data Nikola I. Nikolov, Richard H.R. Hahnloser LREC20 [pdf] [code]
6. Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking Masaru Isonuma, Junichiro Mori, Ichiro Sakata ACL19 [pdf] [code]
7. Sentence Centrality Revisited for Unsupervised Summarization Hao Zheng, Mirella Lapata ACL19 [pdf] [code]
8. Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert ACL20 [pdf] [code]
9. SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders Peter J. Liu, Yu-An Chung, Jie Ren [pdf] [code]
10. MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu ICML19 [pdf] [code]
11. SEQ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos NAACL19 [pdf] [code]
12. Learning to Encode Text as Human-Readable Summaries usingGenerative Adversarial Networks Yaushian Wang, Hung-Yi Lee EMNLP18 [pdf] [code]
13. Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré ACL18 [pdf] [code]

Multi-modal

1. Multimodal Sentence Summarization via Multimodal Selective Encoding Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He, Chengqing Zong COLING20 [pdf]
2. Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos Nayu Liu, Xian Sun, Hongfeng Yu, Wenkai Zhang, Guangluan Xu EMNLP20 [pdf]
3. MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention Aman Khullar, Udit Arora EMNLP20 Workshop [pdf] [code]
4. VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles Mingzhe Li, Xiuying Chen, Shen Gao, Zhangming Chan, Dongyan Zhao, Rui Yan EMNLP20 [pdf] [data]
5. Multi-modal Summarization for Video-containing Documents Xiyan Fu, Jun Wang, Zhenglu Yang [pdf]
6. Text-Image-Video Summary Generation Using Joint Integer Linear Programming Anubhav Jangra, Adam Jatowt, Mohammad Hasanuzzaman, Sriparna Saha ECIR20 [pdf]
7. Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou AAAI20 [pdf] [code]
8. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang AAAI20 [pdf]
9. Multimodal Summarization with Guidance of Multimodal Reference Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li AAAI20 [pdf]
10. EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu [pdf]
11. A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections Shilpadevi Vasant Bhagwat, Sheetal .S. Thokal [pdf]
12. Extractive summarization of documents with images based on multi-modal RNN Jingqiang Chen, Hai Zhuge [pdf]
13. Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke ACL19 [pdf]
14. Multimodal Abstractive Summarization for How2 Videos Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze ACL19 [pdf]
15. MSMO: Multimodal Summarization with Multimodal Output Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, Chengqing Zong EMNLP18 [pdf] [data]
16. Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN Jingqiang Chen, Hai Zhuge EMNLP18 [pdf]
17. Multi-modal Sentence Summarization with Modality Attention and Image Filtering Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong IJCAI18 [pdf]
18. Multimodal Abstractive Summarization for Open-Domain Videos Jindrich Libovický, Shruti Palaskar, Spandana Gella, Florian Metze NIPS18 [pdf] [data]
19. Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong [pdf]
20. Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization Fumio Nihei, Yukiko Nakano, Yukiko I. Nakano, Yutaka Takase, Yutaka Takase GIFT18 [pdf]
21. Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong EMNLP17 [pdf]
22. Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information Fumio Nihei, Yukiko Nakano, Yukiko I. Nakano, Yutaka Takase, Yutaka Takase ICMI16 [pdf]
23. Summarizing a multimodal set of documents in a Smart Room Maria Fuentes, Horacio Rodríguez, Jordi Turmo LREC12 [pdf]
24. Multi-modal summarization of key events and top players in sports tournament videos Dian Tjondronegoro, Xiaohui Tao, Johannes Sasongko and Cher Han Lau [pdf]
25. Multimodal Summarization of Complex Sentences Naushad UzZaman, Jeffrey P. Bigham, James F. Allen [pdf]
26. Summarization of Multimodal Information Saif Ahmad, Paulo C F de Oliveira, Khurshid Ahmad LREC04 [pdf]
27. Multimodal Summarization of Meeting Recordings Berna Erol, Dar-Shyang Lee, and Jonathan Hull ICME03 [pdf]

Concept-map-based

1. Fast Concept Mention Grouping for Concept Map–based Multi-Document Summarization ** NAACL19 [pdf] [code]
2. Bringing Structure into Summaries : Crowdsourcing a Benchmark Corpus of Concept Maps ** EMNLP17 [pdf] [code]

Timeline

1. Examining the State-of-the-Art in News Timeline Summarization Demian Gholipour Ghalandari, Georgiana Ifrim ACL20 [pdf] [code]
2. Learning towards Abstractive Timeline Summarization Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan IJCAI19 [pdf] [data]

Opinion

1. Unsupervised Opinion Summarization with Content Planning Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata AAAI21 [pdf] [code]
2. Extractive Opinion Summarization in Quantized Transformer Spaces Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, Mirella Lapata TACL [pdf] [code]
3. Few-Shot Learning for Opinion Summarization Arthur Bražinskas, Mirella Lapata, Ivan Titov EMNLP20 [pdf] [code]
4. Unsupervised Opinion Summarization as Copycat-Review Generation Arthur Bražinskas, Mirella Lapata, Ivan Titov ACL20 [pdf] [code]
5. Unsupervised Opinion Summarization with Noising and Denoising Reinald Kim Amplayo, Mirella Lapata ACL20 [pdf] [code]
6. OPINIONDIGEST: A Simple Framework for Opinion Summarization Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan ACL20 Short [pdf] [code]
7. Weakly-Supervised Opinion Summarization by Leveraging External Information Chao Zhao, Snigdha Chaturvedi AAAI20 [pdf] [code]
8. MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu ICML19 [pdf] [code]

Reinforcement Learning

1. Answers Unite! Unsupervised Metrics for Reinforced Summarization Models Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano EMNLP19 [pdf]
2. Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li, Deren Lei, Pengda Qin, William Yang Wang EMNLP19 [pdf]
3. Reinforced Extractive Summarization with Question-Focused Rewards Kristjan Arumae, Fei Liu ACL18 [pdf]
4. Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting Yen-Chun Chen, Mohit Bansal ACL18 [pdf] [code]
5. Multi-Reward Reinforced Summarization with Saliency and Entailmen Ramakanth Pasunuru, Mohit Bansal NAACL18 [pdf]
6. Deep Communicating Agents for Abstractive Summarization Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi NAACL18 [pdf]
7. Ranking Sentences for Extractive Summarization with Reinforcement Learning Shashi Narayan, Shay B. Cohen, Mirella Lapata NAACL18 [pdf] [code]
8. A Deep Reinforced Model For Abstractive Summarization Romain Paulus, Caiming Xiong, Richard Socher ICLR18 [pdf]

Reward Learning

1. Learning to summarize from human feedback Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul Christiano [pdf] [code]
2. Better Rewards Yield Better Summaries: Learning to Summarise Without References Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych EMNLP19 [pdf] [code]

Controllable

1. CTRLsum: Towards Generic Controllable Text Summarization Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong [pdf] [code]
2. Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy COLING20 [pdf]
3. Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu EMNLP20 Short [pdf] [code]
4. Length-controllable Abstractive Summarization by Guiding with Summary Prototype Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, Yuji Matsumoto [pdf]
5. The Summary Loop: Learning to Write Abstractive Summaries Without Examples Philippe Laban, Andrew Hsi, John Canny, Marti A. Hearst ACL20 [pdf]
6. Hooks in the Headline: Learning to Generate Headlines with Controlled Styles Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits ACL20 [pdf] [code]
7. Positional Encoding to Control Output Sequence Length Sho Takase, Naoaki Okazaki NAACL19 [pdf] [code]
8. Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models Tal Baumel, Matan Eyal, Michael Elhadad [pdf]
9. Controllable Abstractive Summarization Angela Fan, David Grangier, Michael Auli ACL2018 Workshop [pdf]
10. Controlling Length in Abstractive Summarization Using a Convolutional Neural Network Yizhu Liu, Zhiyi Luo, Kenny Zhu EMNLP18 [pdf] [code]
11. Controlling Output Length in Neural Encoder-Decoders Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura EMNLP16 [pdf] [code]

Extractive

1. Unsupervised Extractive Summarization using Pointwise Mutual Information Vishakh Padmakumar, He He EACL21 [pdf] [code]
2. Better Highlighting: Creating Sub-Sentence Summary Highlights Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu EMNLP20 [pdf] [code]
3. Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries Xiaofei Sun, Chun Fan, Zijun Sun, Yuxian Meng, Fei Wu, Jiwei Li [pdf] [code]
4. SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon, Lexing Xie [pdf] [code]
5. Stepwise Extractive Summarization and Planning with Structured Transformers Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaž Bratanič, Ryan McDonald EMNLP20 [pdf] [code]
6. A Discourse-Aware Neural Extractive Model for Text Summarization Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu ACL20 [pdf] [code]
7. Reading Like HER: Human Reading Inspired Extractive Summarization Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He EMNLP19 [pdf]
8. Exploiting Discourse-Level Segmentation for Extractive Summarization Zhengyuan Liu, Nancy Chen EMNLP19 [pdf]
9. DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang AAAI19 [pdf] [code]
10. Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks Aishwarya Jadhav, Vaibhav Rajan ACL18 [pdf]
11. Neural Document Summarization by Jointly Learning to Score and Select Sentences Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao ACL18 [pdf]
12. Neural Latent Extractive Document Summarization Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou ACL18 [pdf]
13. Generative Adversarial Network for Abstractive Text Summarization Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li AAAI18 [pdf] [code]
14. Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang EMNLP18[pdf]
15. Extractive Summarization Using Multi-Task Learning with Document Classification Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata EMNLP17 [pdf]
16. SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati, Feifei Zhai, Bowen Zhou AAAI17 [pdf] [code]
17. Text Summarization through Entailment-based Minimum Vertex Cover Anand Gupta, Manpreet Kaur, Shachar Mirkin, Adarsh Singh, Aseem Goyal ENLG13 [pdf]

Abstractive

1. Exploring Explainable Selection to Control Abstractive Summarization Wang Haonan, Gao Yang, Bai Yu, Mirella Lapata, Huang Heyan AAAI21 [pdf] [code]
2. Friendly Topic Assistant for Transformer Based Abstractive Summarization Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian, Bo Chen, Mingyuan Zhou EMNLP20 [pdf] [code]
3. Neural Abstractive Text Summarizer for Telugu Language Mohan Bharath B, Aravindh Gowtham B, Akhil M ICSCSP20 [pdf]
4. Topic-Aware Abstractive Text Summarization Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan [pdf] [code]
5. Multi-hop Inference for Question-driven Summarization Yang Deng, Wenxuan Zhang, Wai Lam EMNLP20 [pdf]
6. Quantitative Argument Summarization and Beyond-Cross-Domain Key Point Analysis Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim EMNLP20 [pdf]
7. Learning to Fuse Sentences with Transformers for Summarization Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu EMNLP20 short [pdf] [code]
8. A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu AACL20 [pdf] [code]
9. AutoSurvey: Automatic Survey Generation based on a Research Draft Hen-Hsen Huang IJCAI20 [pdf] [code]
10. Neural Abstractive Summarization with Structural Attention Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty IJCAI20 [pdf]
11. A Unified Model for Financial Event Classification, Detection and Summarization Quanzhi Li, Qiong Zhang IJCAI20 Special Track on AI in FinTech [pdf]
12. Discriminative Adversarial Search for Abstractive Summarization Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano ICML20 [pdf]
13. Controlling the Amount of Verbatim Copying in Abstractive Summarization Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu AAAI20 [pdf] [code]
14. GRET：Global Representation Enhanced Transformer Rongxiang Weng, Haoran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen AAAI20 [pdf]
15. Abstractive Summarization of Spoken and Written Instructions with BERT Alexandra Savelieva, Bryan Au-Yeung, Vasanth Ramani KDD Converse 2020 [pdf]
16. Concept Pointer Network for Abstractive Summarization Wang Wenbo, Gao Yang, Huang Heyan, Zhou Yuxiang EMNLP19 [pdf] [code]
17. Co-opNet: Cooperative Generator–Discriminator Networks for Abstractive Summarization with Narrative Flow Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi [pdf]
18. Contrastive Attention Mechanism for Abstractive Sentence Summarization Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang EMNLP19 [pdf] [code]
19. An Entity-Driven Framework for Abstractive Summarization Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang EMNLP19 [pdf] [code]
20. Abstract Text Summarization: A Low Resource Challenge Shantipriya Parida, Petr Motlicek EMNLP19 [pdf] [code]
21. Attention Optimization for Abstractive Document Summarization Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang EMNLP19 [pdf] [code]
22. Scoring Sentence Singletons and Pairs for Abstractive Summarization Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu ACL19 [pdf] [code]
23. Inducing Document Structure for Aspect-based Summarization Lea Frermann, Alexandre Klementiev ACL19 [pdf] [code]
24. Generating Summaries with Topic Templates and Structured Convolutional Decoders Laura Perez-Beltrachini, Yang Liu, Mirella Lapata ACL19 [pdf] [code]
25. Summary Refinement through Denoising Nikola I. Nikolov, Alessandro Calmanovici, Richard H.R. Hahnloser RANLP19 [pdf] [code]
26. Closed-Book Training to Improve Summarization Encoder Memory Yichen Jiang, Mohit Bansal EMNLP18 [pdf]
27. Improving Neural Abstractive Document Summarization with Structural Regularization Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang EMNLP18 [pdf]
28. Bottom-Up Abstractive Summarization Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush EMNLP18 [pdf] [code]
29. A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, Min Sun ACL18 [pdf]
30. Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation Han Guo, Ramakanth Pasunuru, Mohit Bansal ACL18 [pdf]
31. Abstractive Document Summarization via Bidirectional Decoder Xin WanChen LiRuijia WangDing XiaoChuan Shi ADMA18 [pdf]
32. Entity Commonsense Representation for Neural Abstractive Summarization Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang NAACL18 [pdf]
33. Get To The Point: Summarization with Pointer-Generator Networks Abigail See, Peter J. Liu, Christopher D. Manning ACL17 [pdf] [code]
34. Selective Encoding for Abstractive Sentence Summarization Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou ACL17 [pdf]
35. Abstractive Document Summarization with a Graph-Based Attentional Neural Model Jiwei Tan, Xiaojun Wan, Jianguo Xiao ACL17 [pdf]
36. Toward Abstractive Summarization Using Semantic Representations Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, Noah A. Smith NAACL15 [pdf]
37. Abstractive Meeting Summarization with Entailment and Fusion Yashar Mehdad, Giuseppe Carenini, Frank Tompa, Raymond T. Ng ENLG13 [pdf]

Extractive-Abstractive

1. Contextualized Rewriting for Text Summarization Guangsheng Bao, Yue Zhang AAAI21 [pdf]
2. Jointly Extracting and Compressing Documents with Summary State Representations Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen NAACL19 [pdf] [code]

VAE

1. Deep Recurrent Generative Decoder for Abstractive Text Summarization Piji Li, Wai Lam, Lidong Bing, Zihao Wang EMNLP17 [pdf]
2. Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism Xiyan Fu, Jun Wang, Jinghan Zhang, Jinmao Wei, Zhenglu Yang AAAI20 [pdf]

Syntactic

1. Compressive Summarization with Plausibility and Salience Modeling Shrey Desai, Jiacheng Xu, Greg Durrett EMNLP20 [pdf] [code]
2. StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov `` [pdf]
3. Joint Parsing and Generation for Abstractive Summarization Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu AAAI20 [pdf] [code]
4. Neural Extractive Text Summarization with Syntactic Compression Jiacheng Xu, Greg Durrett EMNLP19 [pdf] [code]
5. Single Document Summarization as Tree Induction Yang Liu, Ivan Titov, Mirella Lapata NAACL19 [pdf] [code]

QA Related

1. Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen Findings of EMNLP [pdf]
2. Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth [pdf] [code]
3. Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae, Fei Liu NAACL19 [pdf] [code]
4. A Semantic QA-Based Approach for Text Summarization Evaluation Ping Chen, Fei Wu, Tong Wang, Wei Ding AAAI18 [pdf]

Evaluation

1. Is human scoring the best criteria for summary evaluation? Oleg Vasilyev, John Bohannon [pdf]
2. How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation Julius Steen, Katja Markert EACL21 [pdf] [code]
3. Is human scoring the best criteria for summary evaluation? Oleg Vasilyev, John Bohannon [pdf]
4. HOLMS: Alternative Summary Evaluation with Large Language Models Yassine Mrabet, Dina Demner-Fushman COLING20 [pdf] [bib]
5. FFCI: A Framework for Interpretable Automatic Evaluation of Summarization Fajri Koto, Jey Han Lau, Timothy Baldwin [pdf] [code]
6. Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji EMNLP20 [pdf] [code]
7. SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics Daniel Deutsch, Dan Roth [pdf] [code]
8. SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir Radev [pdf] [code]
9. HIGHRES: Highlight-based Reference-less Evaluation of Summarization Hardy, Shashi Narayan, Andreas Vlachos ACL19 [pdf] [code]

Query

1. Abstractive Query Focused Summarization with Query-Free Resources Yumo Xu, Mirella Lapata [pdf] [code]

EncoderFusion

1. Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu ICLR21 [pdf]
2. Improving Abstractive Text Summarization with History Aggregation Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou [pdf] [code]

Discourse

1. Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! Wen Xiao, Patrick Huber, Giuseppe Carenini EMNLP20 Workshop [pdf]
2. Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu [pdf]
3. Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization Prakhar Ganesh, Saket Dingliwal [pdf]
4. Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking Masaru Isonuma, Junichiro Mori, Ichiro Sakata ACL19 [pdf] [code]
5. Exploiting Discourse-Level Segmentation for Extractive Summarization Zhengyuan Liu, Nancy Chen EMNLP19 [pdf]
6. A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian NAACL18 [pdf] [data]

Movie

1. Movie Summarization via Sparse Graph Construction Pinelopi Papalampidi, Frank Keller, Mirella Lapata AAAI21 [pdf] [code]

Low Resource

1. Meta-Transfer Learning for Low-Resource Abstractive Summarization Yi-Syuan Chen, Hong-Han Shuai AAAI21 [pdf] [code]

Contrastive Learning

1. Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee, Dong Bok Lee, Sung Ju Hwang ICLR21 [pdf]

Toolkit

1. OpenNMT-py: Open-Source Neural Machine Translation [pdf] [code]
2. Fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. [code]
3. LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization Tian Shi, Ping Wang, Chandan K. Reddy NAACL19 [pdf] [code]
4. TransformerSum [code]