Summarization Papers

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

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.

Content

• Summarization Papers
  • Content
  • Presentations && Notes
  • Survey
  • Dataset
  • Scientific Document
  • Factuality
  • Sentiment Related
  • Pretrain Based
  • Style
  • Dialogue
  • Graph-Based
  • Multi-Document
  • Cross-Lingual
  • Unsupervised
  • Multi-modal
  • Concept-map-based
  • Timeline
  • Opinion
  • Reinforcement Learning
  • Reward Learning
  • Evaluation
  • Controlled
  • Analysis
  • Theory
  • Extractive
  • Abstractive
  • Extractive-Abstractive
  • Syntactic
  • QA Related
  • Toolkit

Presentations && Notes

Presentations and Notes I have made for Summarization in our group.

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

Survey

papers

Paper	Conference
Deep Learning Based Abstractive Text Summarization: Approaches, Datasets, Evaluation Measures, and Challenges
A Survey of Knowledge-Enhanced Text Generation
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information	IJCAI20
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
A Survey on Neural Network-Based Summarization Methods
Automated text summarisation and evidence-based medicine: A survey of two domains
Automatic Keyword Extraction for Text Summarization: A Survey
Text Summarization Techniques: A Brief Survey
Recent automatic text summarization techniques: a survey

Dataset

papers

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	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

Scientific Document

papers

Paper	Conference	Dataset
scisumm-corpus		scisumm-corpus
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks	COLING20
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles	EMNLP20 Short	Dataset: Multi-XScience
TLDR: Extreme Summarization of Scientific Documents	Findings of EMNLP20	Dataset: SCITLDR
Extractive Summarization of Long Documents by Combining Global and Local Context	EMNLP19
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks	AAAI19	Dataset: ScisummNet
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks	ACL19	Dataset: TALKSUMM
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents	NAACL18	Dataset: PubMed, ArXiv

Factuality

papers

1. Multi-Fact Correction in Abstractive Text Summarization. Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu EMNLP20 [pdf]
2. Factual Error Correction for Abstractive Summarization Models Cao Meng, Yue Cheung Dong, Jiapeng Wu, and Jackie Chi Kit EMNLP20 [pdf]
3. Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher EMNLP20 [pdf] [code]
4. Reducing Quantity Hallucinations in Abstractive Summarization Zheng Zhao, Shay B. Cohen, Bonnie WebberEMNLP-Findings20 [pdf]
5. Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng AAAI20 [pdf] [code]
6. On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan McDonaldACL20 [pdf] [data]
7. Improving Truthfulness of Headline Generation Kazuki Matsumaru, Sho Takase, Naoaki Okazaki ACL20[pdf]
8. 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]
9. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus, He He, Mona Diab ACL20 [pdf] [code]
10. Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Wang, Kyunghyun Cho, Mike Lewis ACL20 [pdf] [code]
11. Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward Luyang Huang, Lingfei Wu, Lu Wang ACL20 [pdf]
12. 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]
13. Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang NIPS19 [pdf]
14. Assessing The Factual Accuracy of Generated Text Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J Liu KDD19 [pdf]
15. 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]
16. Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong COLING [pdf] [code]
17. Faithful to the Original: Fact-Aware Neural Abstractive Summarization Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li AAAI18 [pdf]

Sentiment Related

papers

Paper	Conference
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss	SIGIR20
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification	IJCAI18
Two-level Text Summarization from Online News Sources with Sentiment Analysis	IEEE17
Creating Video Summarization From Emotion Perspective	ICSP16

Pretrain Based

papers

Paper	Conference
Pre-training for Abstractive Document Summarization by Reinstating Source Text	EMNLP20
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation	EMNLP20
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising	Findings of EMNLP20
QURIOUS: Question Generation Pretraining for Text Generation	ACL20 Short
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization	ICML20
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling	LREC20
Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models
Learning by Semantic Similarity Makes Abstractive Summarization Better
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization
Text Summarization with Pretrained Encoders	EMNLP19
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization	ACL19
MASS: Masked Sequence to Sequence Pre-training for Language Generation	ICML19
Pretraining-Based Natural Language Generation for Text Summarization
Fine-tune BERT for Extractive Summarization
Unified Language Model Pre-training for Natural Language Understanding and Generation	NIPS19
Self-Supervised Learning for Contextualized Extractive Summarization	ACL19
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization

Style

papers

Paper	Conference	Highlights
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles	ACL20	Summarization + Style transfer

Dialogue

papers

Medical

Paper	Conference
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures	Findings of EMNLP20
Medical Dialogue Summarization for Automated Reporting in Healthcare
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation	LREC20
Generating SOAP Notes from Doctor-Patient Conversations
Generating Medical Reports from Patient-Doctor Conversations using Sequence-to-Sequence Models	ACL20 Short
Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations	NAACL19
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations	ASRU19

French Meeting

Paper	Conference
Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation	LREC20
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization	SPECOM20

Meeting

Paper	Conference
A Study of Text Summarization Techniques for Generating Meeting Minutes
Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization
How to Interact and Change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info	KSEM20
Abstractive Text Summarization of Meetings
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining	EMNLP20
Meeting Summarization, A Challenge for Deep Learning
End-to-End Abstractive Summarization for Meetings	2020
Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning	WWW19
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts	SLT18
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization	ACL18
Generating Abstractive Summaries from Meeting Transcripts
Automatic meeting summarization and topic detection system
Automatic Community Creation for Abstractive Spoken Conversation Summarization	ACL17 workshop
Abstractive Meeting Summarization Using Dependency Graph Fusion	WWW15
Domain-Independent Abstract Generation for Focused Meeting Summarization	ACL13
Summarizing Decisions in Spoken Meetings	ACL11
Automatic analysis of multiparty meetings	11
A keyphrase based approach to interactive meeting summarization	08
What are meeting summaries? An analysis of human extractive summaries in meeting corpus	08
Evaluating the effectiveness of features and sampling in extractive meeting summarization	2008
Automatic Summarization of Conversational Multi-Party Speech	AAAI06
Focused Meeting Summarization via Unsupervised Relation Extraction
Exploring Speaker Characteristics for Meeting Summarization	10
A global optimization framework for meeting summarization	06
Semantic Similarity Applied to Spoken Dialogue Summarization	COLING04

Multi-modal

Paper	Conference
A Multimodal Meeting Browser that Implements an Important Utterance Detection Model based on Multimodal Information
Exploring Methods for Predicting Important Utterances Contributing to Meeting Summarization
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization	ACL19
Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization	GIFT18
Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information	ICMI16
Extractive Summarization of Meeting Recordings
Multimodal Summarization of Meeting Recordings	ICME03

Open Domain

Paper	Conference
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization	EMNLP20
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization	EMNLP19
Making Sense of Group Chat through Collaborative Tagging and Summarization	CSCW18
Collabot: Personalized Group Chat Summarization	WSDM18

Customer Service

Paper	Conference
Automatic Dialogue Summary Generation for Customer Service	KDD19

Email

Paper	Conference
Building a Dataset for Summarization and Keyword Extraction from Emails
Summarizing Online Conversations A Machine Learning Approach	2010
Task-focused Summarization of Email	2004

News Review

Paper	Conference
The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News	SIGDIAL16

Others

Paper	Conference	Highlights
文本摘要:浓缩的才是精华
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset	ACL20
Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning	CIKM19
Abstractive Dialog Summarization with Semantic Scaffolds
Creating a reference data set for the summarization of discussion forum threads
Summarizing Dialogic Arguments from Social Media	SemDial 2017
Dial2Desc: End-to-end Dialogue Description Generation
Using Summarization to Discover Argument Facets in Online Idealogical Dialog	NAACL15
Conversation summarization using machine learning and scoring method
Plans Toward Automated Chat Summarization	ACL11
Domain Adaptation to Summarize Human Conversations	ACL2010 workshop
Automatic Text Summarization for Dialogue Style
Adapting Lexical Chaining to Summarize Conversational Dialogues
Semantic Similarity Applied to Spoken Dialogue Summarization	COLING04

Graph-Based

papers

Paper	Conference
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks	COLING20
Heterogeneous Graph Neural Networks for Extractive Document Summarization	ACL20
Structured Neural Summarization	ICLR19
Hierarchical Transformers for Multi-Document Summarization	ACL19
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization	EMNLP19
Graph-based Neural Multi-Document Summarization	CoNLL17
Abstractive Document Summarization with a Graph-Based Attentional Neural Model	ACL17

Multi-Document

papers

Paper	Conference
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning	EMNLP20
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization	ACL2020
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization	ACL20
Leveraging Graph to Improve Abstractive Multi-Document Summarization	ACL20
Generating Representative Headlines for News Stories	WWW20
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization	EMNLP19
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization	ACL19
Hierarchical Transformers for Multi-Document Summarization	ACL19
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization	ICML19
Generating Wikipedia By Summarizing Long Sequence	ICLR18
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization	EMNLP18
Graph-based Neural Multi-Document Summarization	CoNLL17
Improving Multi-Document Summarization via Text Classification	AAAI17
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model	COLING16
Event-Centric Summary Generation	ACL04

Cross-Lingual

papers

Paper	Conference
Multi-Task Learning for Cross-Lingual Abstractive Summarization
WikiLingua- A New Benchmark Dataset for Cross-Lingual Abstractive Summarization	Findings of EMNLP20
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards	ACL20 workshop
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization	ACL20
Attend, Translate and Summarize:An Efficient Method for Neural Cross-Lingual Summarization	ACL20
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization	AAAI20
Global Voices: Crossing Borders in Automatic News Summarization	EMNLP19
NCLS: Neural Cross-Lingual Summarization	EMNLP19
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention	ACL19
A Robust Abstractive System for Cross-Lingual Summarization	NAACL19
Cross-Lingual Korean Speech-to-Text Summarization	ACIIDS19
Cross-language document summarization via extraction and ranking of multiple summaries
Zero-Shot Cross-Lingual Neural Headline Generation	IEEE/ACM TRANSACTIONS 18
Cross-Language Text Summarization using Sentence and Multi-Sentence Compression	NLDB18
Cross-language document summarization based on machine translation quality prediction	ACL10
Using bilingual information for cross-language document summarization	ACL11
Phrase-based Compressive Cross-Language Summarization	ACL15
Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing	IEEE/ACM Trans16
Multilingual Single-Document Summarization with MUSE	MultiLing13

Unsupervised

papers

Paper	Conference
Q-learning with Language Model for Edit-based Unsupervised Summarization	EMNLP20
Abstractive Document Summarization without Parallel Data	LREC20
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking	ACL19
Sentence Centrality Revisited for Unsupervised Summarization	ACL19
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction	ACL20
MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization	ICML19
SEQ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression	NAACL19
Learning to Encode Text as Human-Readable Summaries usingGenerative Adversarial Networks	EMNLP18
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization	ACL18

Multi-modal

papers

Paper	Conference
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles	EMNLP20
Multi-modal Summarization for Video-containing Documents
Text-Image-Video Summary Generation Using Joint Integer Linear Programming	ECIR20
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products	AAAI20
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization	AAAI20
Multimodal Summarization with Guidance of Multimodal Reference	AAAI20
EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos	IEEE20
A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections
Extractive summarization of documents with images based on multi-modal RNN
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization	ACL19
Multimodal Abstractive Summarization for How2 Videos	ACL19
MSMO: Multimodal Summarization with Multimodal Output	EMNLP18
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN	EMNLP18
Multi-modal Sentence Summarization with Modality Attention and Image Filtering	IJCAI18
How2: A Large-scale Dataset for Multimodal Language Understanding	NIPS18
Multimodal Abstractive Summarization for Open-Domain Videos	NIPS18
Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video	IEEE18
Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization	GIFT18
Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video	EMNLP17
Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information	ICMI16
Summarizing a multimodal set of documents in a Smart Room	LREC12
Multi-modal summarization of key events and top players in sports tournament videos	2011 IEEE Workshop on Applications of Computer Vision
Multimodal Summarization of Complex Sentences
Summarization of Multimodal Information	LREC04
Multimodal Summarization of Meeting Recordings	ICME 03

Concept-map-based

papers

Paper	Conference
Fast Concept Mention Grouping for Concept Map–based Multi-Document Summarization	NAACL19
Bringing Structure into Summaries : Crowdsourcing a Benchmark Corpus of Concept Maps	EMNLP17

Timeline

papers

Paper	Conference
Examining the State-of-the-Art in News Timeline Summarization	ACL20
Learning towards Abstractive Timeline Summarization	IJCAI19

Opinion

papers

Paper	Conference
Few-Shot Learning for Opinion Summarization	EMNLP20
Unsupervised Opinion Summarization as Copycat-Review Generation	ACL20
Unsupervised Opinion Summarization with Noising and Denoising	ACL20
OPINIONDIGEST: A Simple Framework for Opinion Summarization	ACL20 Short
Weakly-Supervised Opinion Summarization by Leveraging External Information	AAAI20
MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization	ICML19

Reinforcement Learning

papers

Paper	Conference
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models	EMNLP19
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization	EMNLP19
Reinforced Extractive Summarization with Question-Focused Rewards	ACL18
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting	ACL18
Multi-Reward Reinforced Summarization with Saliency and Entailment	NAACL18
Deep Communicating Agents for Abstractive Summarization	NAACL18
Ranking Sentences for Extractive Summarization with Reinforcement Learning	NAACL18
A Deep Reinforced Model For Abstractive Summarization	ICLR18

Reward Learning

papers

Paper	Conference
Learning to summarize from human feedback
Better Rewards Yield Better Summaries: Learning to Summarise Without References	EMNLP19

Evaluation

papers

Paper	Conference	Highlights
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning	EMNLP20
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics		https://github.com/danieldeutsch/sacrerouge
SummEval: Re-evaluating Summarization Evaluation		https://github.com/Yale-LILY/SummEval
HIGHRES: Highlight-based Reference-less Evaluation of Summarization	ACL19

Controlled

papers

Paper	Conference
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach	EMNLP20 Short
Length-controllable Abstractive Summarization by Guiding with Summary Prototype
Positional Encoding to Control Output Sequence Length	NAACL19
Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models
Controllable Abstractive Summarization	ACL2018 Workshop
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network	EMNLP18
Controlling Output Length in Neural Encoder-Decoders	EMNLP16

Analysis

papers

Paper	Conference
Understanding Neural Abstractive Summarization Models via Uncertainty	EMNLP20 Short
Re-evaluating Evaluation in Text Summarization	EMNLP20
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems	EMNLP20
What Have We Achieved on Text Summarization?	EMNLP20
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization	Findings of EMNLP2020
Extractive Summarization as Text Matching	ACL20
Neural Text Summarization: A Critical Evaluation	EMNLP19
Earlier Isn’t Always Better:Sub-aspect Analysis on Corpus and System Biases in Summarization	EMNLP19
A Closer Look at Data Bias in Neural Extractive Summarization Models	EMNLP 2019 Workshop
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses	EMNLP19 Short
Searching for Effective Neural Extractive Summarization: What Works and What's Next	ACL19
Content Selection in Deep Learning Models of Summarization	EMNLP18

Theory

papers

Paper	Conference
KLearn: Background Knowledge Inference from Summarization Data	Findings of EMNLP
A Simple Theoretical Model of Importance for Summarization	ACL19
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle	EMNLP19

Extractive

papers

Paper	Conference
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
Stepwise Extractive Summarization and Planning with Structured Transformers	EMNLP20
A Discourse-Aware Neural Extractive Model for Text Summarization	ACL20
Reading Like HER: Human Reading Inspired Extractive Summarization	EMNLP19
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks	ACL18
Neural Document Summarization by Jointly Learning to Score and Select Sentences	ACL18
Neural Latent Extractive Document Summarization	ACL18
Generative Adversarial Network for Abstractive Text Summarization	AAAI18
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling	EMNLP18
Extractive Summarization Using Multi-Task Learning with Document Classification	EMNLP17
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents	AAAI17
Text Summarization through Entailment-based Minimum Vertex Cover	ENLG13

Abstractive

papers

Paper	Conference
Multi-hop Inference for Question-driven Summarization	EMNLP20
Quantitative Argument Summarization and Beyond-Cross-Domain Key Point Analysis	EMNLP20
Learning to Fuse Sentences with Transformers for Summarization	EMNLP20 short
AutoSurvey: Automatic Survey Generation based on a Research Draft	IJCAI20
Neural Abstractive Summarization with Structural Attention	IJCAI20
A Unified Model for Financial Event Classification, Detection and Summarization	IJCAI20
Keywords-Guided Abstractive Sentence Summarization	AAAI20
Discriminative Adversarial Search for Abstractive Summarization	ICML20
Controlling the Amount of Verbatim Copying in Abstractive Summarization	AAAI20
GRET：Global Representation Enhanced Transformer	AAAI20
Abstractive Summarization of Spoken and Written Instructions with BERT	KDD Converse 2020
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization	AAAI19
Concept Pointer Network for Abstractive Summarization	EMNLP19
Co-opNet: Cooperative Generator–Discriminator Networks for Abstractive Summarization with Narrative Flow
Contrastive Attention Mechanism for Abstractive Sentence Summarization	EMNLP19
An Entity-Driven Framework for Abstractive Summarization	EMNLP19
Abstract Text Summarization: A Low Resource Challenge	EMNLP19
Attention Optimization for Abstractive Document Summarization	EMNLP19
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization	ACL19
Scoring Sentence Singletons and Pairs for Abstractive Summarization	ACL19
Inducing Document Structure for Aspect-based Summarization	ACL19
Generating Summaries with Topic Templates and Structured Convolutional Decoders	ACL19
Improving Abstractive Text Summarization with History Aggregation
Summary Refinement through Denoising	RANLP19
Closed-Book Training to Improve Summarization Encoder Memory	EMNLP18
Bottom-Up Abstractive Summarization	EMNLP18
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss	ACL18
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation	ACL18
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization	ACL18
Abstractive Document Summarization via Bidirectional Decoder	ADMA18
Guiding Generation for Abstractive Text Summarization based on Key Information Guide Network	NAACL18
Entity Commonsense Representation for Neural Abstractive Summarization	NAACL18
Get To The Point: Summarization with Pointer-Generator Networks	ACL17
Selective Encoding for Abstractive Sentence Summarization	ACL17
Abstractive Document Summarization with a Graph-Based Attentional Neural Model	ACL17
Deep Recurrent Generative Decoder for Abstractive Text Summarization	EMNL17
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion	AACL20 short
Improving Neural Abstractive Document Summarization with Structural Regularization	EMNLP18
Toward Abstractive Summarization Using Semantic Representations	NAACL15
Abstractive Meeting Summarization with Entailment and Fusion	ENLG13

Extractive-Abstractive

papers

Paper	Conference
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models	EMNLP20
Jointly Extracting and Compressing Documents with Summary State Representations	NAACL19

Syntactic

papers

Paper	Conference
Compressive Summarization with Plausibility and Salience Modeling	EMNLP20
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization
Joint Parsing and Generation for Abstractive Summarization	AAAI20
Neural Extractive Text Summarization with Syntactic Compression	EMNLP19
Single Document Summarization as Tree Induction	NAACL19

QA Related

papers

Paper	Conference
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary
Guiding Extractive Summarization with Question-Answering Rewards	NAACL19
A Semantic QA-Based Approach for Text Summarization Evaluation	AAAI18

Toolkit

papers

• openNMT
• fairseq
• LeafNATS
• TransformerSum