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 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.
- Summarization Papers
- Content
- Presentations && Notes
- Survey
- Dataset
- Scientific Document
- Factual Consistency
- Sentiment Related
- Pretrain Based
- Style
- Dialogue
- Graph-Based
- Multi-Document
- Cross-Lingual
- Unsupervised
- Multi-modal
- Concept-map-based
- Timeline
- Opinion
- Reinforcement Learning
- Reward Learning
- Controlled
- Analysis
- Theory
- Extractive
- Abstractive
- Extractive-Abstractive
- Syntactic
- QA Related
- Evaluation
- Toolkit
Presentations and Notes I have made for Summarization in our group.
- 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
- Deep Learning Based Abstractive Text Summarization: Approaches, Datasets, Evaluation Measures, and Challenges Dima Suleiman, Arafat A. Awajan [pdf]
- A Survey of Knowledge-Enhanced Text Generation Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang [pdf]
- From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan
IJCAI20[pdf] - Neural Abstractive Text Summarization with Sequence-to-Sequence Models Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy [pdf]
- A Survey on Neural Network-Based Summarization Methods Yue Dong [pdf]
- Automated text summarisation and evidence-based medicine: A survey of two domains Abeed Sarker, Diego Molla, Cecile Paris [pdf]
- Automatic Keyword Extraction for Text Summarization: A Survey Santosh Kumar Bharti, Korra Sathya Babu [pdf]
- Text Summarization Techniques: A Brief Survey Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys Kochut [pdf]
- Recent automatic text summarization techniques: a survey Mahak Gambhir, Vishal Gupta [pdf]
- Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung [pdf] [code]
- SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan [pdf] [code]
- Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks Peng Cui, Le Hu, Yuanchao Liu
COLING20[pdf] - Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles Yao Lu, Yue Dong, Laurent Charlin
EMNLP20 Short[pdf] [data] - TLDR: Extreme Summarization of Scientific Documents Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
Findings of EMNLP20[pdf] [data] - Extractive Summarization of Long Documents by Combining Global and Local Context Wen Xiao, Giuseppe Carenini
EMNLP19[pdf] [code] - 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] - 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] - 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]
- Multi-Fact Correction in Abstractive Text Summarization. Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
EMNLP20[pdf] - Factual Error Correction for Abstractive Summarization Models Cao Meng, Yue Cheung Dong, Jiapeng Wu, and Jackie Chi Kit
EMNLP20[pdf] - Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher
EMNLP20[pdf] [code] - Reducing Quantity Hallucinations in Abstractive Summarization Zheng Zhao, Shay B. Cohen, Bonnie Webber
EMNLP-Findings20[pdf] - On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan McDonald
ACL20[pdf] [data] - Improving Truthfulness of Headline Generation Kazuki Matsumaru, Sho Takase, Naoaki Okazaki
ACL20[pdf] - 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] - FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus, He He, Mona Diab
ACL20[pdf] [code] - Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Wang, Kyunghyun Cho, Mike Lewis
ACL20[pdf] [code] - Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward Luyang Huang, Lingfei Wu, Lu Wang
ACL20[pdf] - 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] - Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang
NIPS19[pdf] - Assessing The Factual Accuracy of Generated Text Ben Goodrich, Vinay Rao, Mohammad Saleh, Peter J Liu
KDD19[pdf] - 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] - Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong
COLING18[pdf] [code] - Faithful to the Original: Fact-Aware Neural Abstractive Summarization Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li
AAAI18[pdf]
- A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss Hou Pong Chan, Wang Chen, Irwin King
SIGIR20[pdf] [code] - A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
IJCAI18[pdf] - Two-level Text Summarization from Online News Sources with Sentiment Analysis Tarun B. Mirani, Sreela Sasi
IEEE17[pdf] - Creating Video Summarization From Emotion Perspective Yijie Lan, Shikui Wei, Ruoyu Liu, Yao Zhao
ICSP16[pdf]
- Pre-training for Abstractive Document Summarization by Reinstating Source Text Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou
EMNLP20[pdf] [code] - 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] - 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] - QURIOUS: Question Generation Pretraining for Text Generation Shashi Narayan, Gonçalo Simoes, Ji Ma, Hannah Craighead, Ryan Mcdonald
ACL20 Short[pdf] - PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu
ICML20[pdf] [code] - 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] - 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]
- Learning by Semantic Similarity Makes Abstractive Summarization Better Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang
ICML20[pdf] [code] - 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]
- Text Summarization with Pretrained Encoders Yang Liu, Mirella Lapata
EMNLP19[pdf] [code] - HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization Xingxing Zhang, Furu Wei, Ming Zhou
ACL19[pdf] - MASS: Masked Sequence to Sequence Pre-training for Language Generation Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
ICML19[pdf] [code] - Pretraining-Based Natural Language Generation for Text Summarization Haoyu Zhang, Jianjun Xu, Ji Wang [pdf]
- Fine-tune BERT for Extractive Summarization Yang Liu [pdf] [code]
- 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] - 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] - Efficient Adaptation of Pretrained Transformers for Abstractive Summarization Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi [pdf] [code]
- 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]
papers
| Paper | Conference |
|---|---|
| Automatic Dialogue Summary Generation for Customer Service | KDD19 |
| 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 |
| Paper | Conference |
|---|---|
| The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News | SIGDIAL16 |
- Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks Peng Cui, Le Hu, Yuanchao Liu
COLING20[pdf] - Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang
ACL20[pdf] [code] - Structured Neural Summarization Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
ICLR19[pdf] [code] - Hierarchical Transformers for Multi-Document Summarization Yang Liu, Mirella Lapata
ACL19[pdf] [code] - Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini, Boi Faltings
EMNLP19[pdf] - Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev
CoNLL17[pdf] - Abstractive Document Summarization with a Graph-Based Attentional Neural Model Jiwei Tan, Xiaojun Wan, Jianguo Xiao
ACL17[pdf]
- Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han
EMNLP20[pdf] [code] - Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang
ACL20[pdf] [code] - Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization Hanqi Jin, Tianming Wang, Xiaojun Wan
ACL20[pdf] - SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization Yang Gao, Wei Zhao, Steffen Eger
ACL20[pdf] [code] - Leveraging Graph to Improve Abstractive Multi-Document Summarization Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, Junping Du
ACL20[pdf] [code] - 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] - Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini, Boi Faltings
EMNLP19[pdf] - Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu
ACL19[pdf] [code] - Hierarchical Transformers for Multi-Document Summarization Yang Liu, Mirella Lapata
ACL19[pdf] [code] - MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu
ICML19[pdf] [code] - Generating Wikipedia By Summarizing Long Sequence Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer
ICLR18[pdf] [code] - Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization Logan Lebanoff, Kaiqiang Song, Fei Liu
EMNLP18[pdf] [code] - Graph-based Neural Multi-Document Summarization Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir Radev
CoNLL17[pdf] - Improving Multi-Document Summarization via Text Classification Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei
AAAI17[pdf] - An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model Shulei Ma, Zhi-Hong Deng, Yunlun Yang
COLING16[pdf] - Event-Centric Summary Generation Lucy Vanderwende Michele Banko Arul Menezes
ACL04[pdf]
- Mixed-Lingual Pre-training for Cross-lingual Summarization Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
AACL20[pdf] - Multi-Task Learning for Cross-Lingual Abstractive Summarization Sho Takase, Naoaki Okazaki [pdf]
- WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen McKeown
Findings of EMNLP20[pdf] [data] - 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] - Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization Yue Cao, Hui Liu, Xiaojun Wan
ACL20[pdf] - Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization Junnan Zhu, Yu Zhou, Jiajun Zhang, Chengqing Zong
ACL20[pdf] [code] - MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization Yue Cao, Xiaojun Wan, Jinge Yao, Dian Yu
AAAI20[pdf] [code] - Global Voices: Crossing Borders in Automatic News Summarization Khanh Nguyen, Hal Daumé III
EMNLP19 workshop[pdf] [data] - NCLS: Neural Cross-Lingual Summarization Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong
EMNLP19[pdf] [code] - 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] - A Robust Abstractive System for Cross-Lingual Summarization Jessica Ouyang, Boya Song, Kathy McKeown
NAACL19[pdf] - Cross-Lingual Korean Speech-to-Text Summarization HyoJeon Yoon, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, Dosam Hwang
ACIIDS19[pdf] - Cross-language document summarization via extraction and ranking of multiple summaries Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang & Jin-ge Yao [pdf]
- Zero-Shot Cross-Lingual Neural Headline Generation Shi-qi Shen, Yun Chen, Cheng Yang, Zhi-yuan Liu, Mao-song Sun
TASLP18[pdf] - Cross-Language Text Summarization using Sentence and Multi-Sentence Compression Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares
NLDB18[pdf] - Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing Jiajun Zhang, Yu Zhou, Chengqing Zong
TASLP16[pdf] - Phrase-based Compressive Cross-Language Summarization Jin-ge Yao ,Xiaojun Wan ,Jianguo Xiao
ACL15[pdf] - Multilingual Single-Document Summarization with MUSE Marina Litvak, Mark Last
MultiLing13[pdf] - Using bilingual information for cross-language document summarization Xiaojun Wan
ACL11[pdf] - Cross-language document summarization based on machine translation quality prediction Xiaojun Wan, Huiying Li, Jianguo Xiao
ACL10[pdf]
- Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou [pdf] [code]
- Q-learning with Language Model for Edit-based Unsupervised Summarization Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana
EMNLP20[pdf] [code] - Abstractive Document Summarization without Parallel Data Nikola I. Nikolov, Richard H.R. Hahnloser
LREC20[pdf] [code] - Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking Masaru Isonuma, Junichiro Mori, Ichiro Sakata
ACL19[pdf] [code] - Sentence Centrality Revisited for Unsupervised Summarization Hao Zheng, Mirella Lapata
ACL19[pdf] [code] - Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
ACL20[pdf] [code] - MeanSum : A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu
ICML19[pdf] [code] - SEQ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos
NAACL19[pdf] [code] - Learning to Encode Text as Human-Readable Summaries usingGenerative Adversarial Networks Yaushian Wang, Hung-Yi Lee
EMNLP18[pdf] [code] - 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]
- MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention Aman Khullar, Udit Arora
EMNLP20 Workshop[pdf] [code] - 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] - Multi-modal Summarization for Video-containing Documents Xiyan Fu, Jun Wang, Zhenglu Yang [pdf]
- Text-Image-Video Summary Generation Using Joint Integer Linear Programming Anubhav Jangra, Adam Jatowt, Mohammad Hasanuzzaman, Sriparna Saha
ECIR20[pdf] - Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products Haoran Li, Peng Yuan, Song Xu, Youzheng Wu, Xiaodong He, Bowen Zhou
AAAI20[pdf] - Convolutional Hierarchical Attention Network for Query-Focused Video Summarization Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang
AAAI20[pdf] - Multimodal Summarization with Guidance of Multimodal Reference Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li
AAAI20[pdf] - EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu [pdf]
- A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections Shilpadevi Vasant Bhagwat, Sheetal .S. Thokal [pdf]
- Extractive summarization of documents with images based on multi-modal RNN Jingqiang Chen, Hai Zhuge [pdf]
- Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke
ACL19[pdf] - Multimodal Abstractive Summarization for How2 Videos Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze
ACL19[pdf] - MSMO: Multimodal Summarization with Multimodal Output Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, Chengqing Zong
EMNLP18[pdf] [data] - Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN Jingqiang Chen, Hai Zhuge
EMNLP18[pdf] - Multi-modal Sentence Summarization with Modality Attention and Image Filtering Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong
IJCAI18[pdf] - Multimodal Abstractive Summarization for Open-Domain Videos Jindrich Libovický, Shruti Palaskar, Spandana Gella, Florian Metze
NIPS18[pdf] [data] - 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]
- Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization Fumio Nihei, Yukiko Nakano, Yukiko I. Nakano, Yutaka Takase, Yutaka Takase
GIFT18[pdf] - Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong
EMNLP17[pdf] - Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information Fumio Nihei, Yukiko Nakano, Yukiko I. Nakano, Yutaka Takase, Yutaka Takase
ICMI16[pdf] - Summarizing a multimodal set of documents in a Smart Room Maria Fuentes, Horacio Rodríguez, Jordi Turmo
LREC12[pdf] - Multi-modal summarization of key events and top players in sports tournament videos Dian Tjondronegoro, Xiaohui Tao, Johannes Sasongko and Cher Han Lau [pdf]
- Multimodal Summarization of Complex Sentences Naushad UzZaman, Jeffrey P. Bigham, James F. Allen [pdf]
- Summarization of Multimodal Information Saif Ahmad, Paulo C F de Oliveira, Khurshid Ahmad
LREC04[pdf] - Multimodal Summarization of Meeting Recordings Berna Erol, Dar-Shyang Lee, and Jonathan Hull
ICME03[pdf]
- Fast Concept Mention Grouping for Concept Map–based Multi-Document Summarization **
NAACL19[pdf] [code] - Bringing Structure into Summaries : Crowdsourcing a Benchmark Corpus of Concept Maps **
EMNLP17[pdf] [code]
- Examining the State-of-the-Art in News Timeline Summarization Demian Gholipour Ghalandari, Georgiana Ifrim
ACL20[pdf] [code] - Learning towards Abstractive Timeline Summarization Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan
IJCAI19[pdf] [data]
- Few-Shot Learning for Opinion Summarization Arthur Bražinskas, Mirella Lapata, Ivan Titov
EMNLP20[pdf] [code] - Unsupervised Opinion Summarization as Copycat-Review Generation Arthur Bražinskas, Mirella Lapata, Ivan Titov
ACL20[pdf] [code] - Unsupervised Opinion Summarization with Noising and Denoising Reinald Kim Amplayo, Mirella Lapata
ACL20[pdf] [code] - OPINIONDIGEST: A Simple Framework for Opinion Summarization Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan
ACL20 Short[pdf] [code] - Weakly-Supervised Opinion Summarization by Leveraging External Information Chao Zhao, Snigdha Chaturvedi
AAAI20[pdf] [code] - MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization Eric Chu, Peter J. Liu
ICML19[pdf] [code]
- Answers Unite! Unsupervised Metrics for Reinforced Summarization Models Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
EMNLP19[pdf] - Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li, Deren Lei, Pengda Qin, William Yang Wang
EMNLP19[pdf] - Reinforced Extractive Summarization with Question-Focused Rewards Kristjan Arumae, Fei Liu
ACL18[pdf] - Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting Yen-Chun Chen, Mohit Bansal
ACL18[pdf] [code] - Multi-Reward Reinforced Summarization with Saliency and Entailmen Ramakanth Pasunuru, Mohit Bansal
NAACL18[pdf] - Deep Communicating Agents for Abstractive Summarization Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi
NAACL18[pdf] - Ranking Sentences for Extractive Summarization with Reinforcement Learning Shashi Narayan, Shay B. Cohen, Mirella Lapata
NAACL18[pdf] [code] - A Deep Reinforced Model For Abstractive Summarization Romain Paulus, Caiming Xiong, Richard Socher
ICLR18[pdf]
- 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]
- 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]
- GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig [pdf] [code]
- Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
EMNLP20 Short[pdf] [code] - 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]
- Positional Encoding to Control Output Sequence Length Sho Takase, Naoaki Okazaki
NAACL19[pdf] [code] - Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models Tal Baumel, Matan Eyal, Michael Elhadad [pdf]
- Controllable Abstractive Summarization Angela Fan, David Grangier, Michael Auli
ACL2018 Workshop[pdf] - Controlling Length in Abstractive Summarization Using a Convolutional Neural Network Yizhu Liu, Zhiyi Luo, Kenny Zhu
EMNLP18[pdf] [code] - Controlling Output Length in Neural Encoder-Decoders Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura
EMNLP16[pdf] [code]
- Understanding Neural Abstractive Summarization Models via Uncertainty Jiacheng Xu, Shrey Desai, Greg Durrett
EMNLP20 Short[pdf] [code] - Re-evaluating Evaluation in Text Summarization Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig
EMNLP20[pdf] [code] - 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] - What Have We Achieved on Text Summarization? Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang
EMNLP20[pdf] - Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization Zhengyuan Liu, Ke Shi, Nancy F. Chen
Findings of EMNLP20[pdf] - Extractive Summarization as Text Matching Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
ACL20[pdf] [code] - Neural Text Summarization: A Critical Evaluation Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
EMNLP19[pdf] - 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] - A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang
EMNLP19 Workshop[pdf] - 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] - 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] - Content Selection in Deep Learning Models of Summarization Chris Kedzie, Kathleen McKeown, Hal Daumé III
EMNLP18[pdf] [code]
- KLearn: Background Knowledge Inference from Summarization Data Maxime Peyrard, Robert West
Findings of EMNLP20[pdf] [code] - A Simple Theoretical Model of Importance for Summarization Maxime Peyrard
ACL19[pdf] - BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle Peter West, Ari Holtzman, Jan Buys, Yejin Choi
EMNLP19[pdf] [code]
papers
papers
- On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal
EMNLP20[pdf] - 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]
- Compressive Summarization with Plausibility and Salience Modeling Shrey Desai, Jiacheng Xu, Greg Durrett
EMNLP20[pdf] [code] - 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]
- 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] - Neural Extractive Text Summarization with Syntactic Compression Jiacheng Xu, Greg Durrett
EMNLP19[pdf] [code] - Single Document Summarization as Tree Induction Yang Liu, Ivan Titov, Mirella Lapata
NAACL19[pdf] [code]
- Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth [pdf] [code]
- Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae, Fei Liu
NAACL19[pdf] [code] - A Semantic QA-Based Approach for Text Summarization Evaluation Ping Chen, Fei Wu, Tong Wang, Wei Ding
AAAI18[pdf]
- Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
EMNLP20[pdf] [code] - SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics Daniel Deutsch, Dan Roth [pdf] [code]
- SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir Radev [pdf] [code]
- HIGHRES: Highlight-based Reference-less Evaluation of Summarization Hardy, Shashi Narayan, Andreas Vlachos
ACL19[pdf] [code]
- OpenNMT-py: Open-Source Neural Machine Translation [pdf] [code]
- Fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. [code]
- LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization Tian Shi, Ping Wang, Chandan K. Reddy
NAACL19[pdf] [code] - TransformerSum [code]