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Multi-document summarization (MDS) is a challenging task, often decomposed to subtasks of salience and redundancy detection, followed by text generation.
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
Avi Caciularu, Matthew Peters, Jacob Goldberger, Ido Dagan, and Arman Cohan. 2023 · 1989
Earlier work this paper cites.
Introduction to the CoNLL-2000 Shared Task Chunking
Erik F. Tjong Kim Sang and Sabine Buchholz. 2000 · 2000
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin. 2004 · 2004
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Evaluating Content Selection in Summarization: The Pyramid Method
Ani Nenkova and Rebecca Passonneau. 2004 · 2004
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Sentence Fusion for Multidocument News Summarization
Regina Barzilay and Kathleen R. McKeown. 2005 · 2005
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Automatically Constructing a Corpus of Sentential Paraphrases
William B. Dolan and Chris Brockett. 2005 · 2005
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Automatic Evaluation of Information Ordering: Kendall’s Tau
Mirella Lapata. 2006 · 2006
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Modeling local coherence: An entity-based approach
Regina Barzilay and Mirella Lapata. 2008 · 2008
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Unsupervised Learning of Narrative Event Chains
Nathanael Chambers and Dan Jurafsky. 2008 · 2008
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Learning to Classify Short and Sparse Text & Web with Hidden Topics from Large-scale Data Collections
Xuan-Hieu Phan, Le-Minh Nguyen, and Susumu Horiguchi. 2008 · 2008
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Multi-document Summarization Using Cluster-based Link Analysis
Xiaojun Wan and Jianwu Yang. 2008 · 2008
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Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to Multi-Document Summarization
Xiaoyan Cai, Wenjie Li, You Ouyang, and Hong Yan. 2010 · 2010
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PPDB: The Paraphrase Database
Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013 · 2013
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Auto-Highlighter: Identifying Salient Sentences in Text
Jessica Zeitz Self, Rebecca Zeitz, Chris North, and Alan L. Breitler. 2013 · 2013
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Supervised sentence fusion with single-stage inference
Kapil Thadani and Kathleen McKeown. 2013 · 2013
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Highlighting Salient Sentences for Reading Assistance , pages 43–55. Springer Fachmedien Wiesbaden, Wiesbaden
Ágnes Sándor and Angela Vorndran. 2014 · 2014
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Clustering Sentences with Density Peaks for Multi-document Summarization
Yang Zhang, Yunqing Xia, Yi Liu, and Wenmin Wang. 2015 · 2015
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PEAK: Pyramid Evaluation via Automated Knowledge Extraction
Qian Yang, Rebecca Passonneau, and Gerard de Melo. 2016 · 2016
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Self-Taught Convolutional Neural Networks for Short Text Clustering
Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao, and Bo Xu. 2017 · 2017
Cited alongside, same era.
PyrEval: An Automated Method for Summary Content Analysis
Yanjun Gao, Andrew Warner, and Rebecca Passonneau. 2018 · 2018
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Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries
Tsutomu Hirao, Hidetaka Kamigaito, and Masaaki Nagata. 2018 · 2018
Cited alongside, same era.
Supervised Open Information Extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan. 2018 · 2018
Cited alongside, same era.
Neural Latent Extractive Document Summarization
Xingxing Zhang, Mirella Lapata, Furu Wei, and Ming Zhou. 2018 · 2018
Cited alongside, same era.
Towards Annotating and Creating Summary Highlights at Sub-sentence Level
Kristjan Arumae, Parminder Bhatia, and Fei Liu. 2019 · 2019
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline
Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, and Ido Dagan. 2021 · 2021
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Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster, Adam Fisch, and Regina Barzilay. 2021 · 2021
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Finding a Balanced Degree of Automation for Summary Evaluation
Shiyue Zhang and Mohit Bansal. 2021 · 2021
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Scaling Instruction-Finetuned Language Models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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McPhraSy: Multi-Context Phrase Similarity and Clustering
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Cited alongside, same era.
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, and Fei Liu. 2019 · 2019
Cited alongside, same era.
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev. 2019 · 2019
Cited alongside, same era.
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
Mor Geva, Eric Malmi, Idan Szpektor, and Jonathan Berant. 2019 · 2019
Cited alongside, same era.
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, and Fei Liu. 2019 · 2019
Cited alongside, same era.
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Amit Moryossef, Yoav Goldberg, and Ido Dagan. 2019 · 2019
Cited alongside, same era.
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, and Ido Dagan. 2019 · 2019
Cited alongside, same era.
Amir Cohen, Hila Gonen, Ori Shapira, Ran Levy, and Yoav Goldberg. 2022 · 2022
Later among the works it cites.
Cross-document Event Coreference Search: Task, Dataset and Modeling
Alon Eirew, Avi Caciularu, and Ido Dagan. 2022 · 2022
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Proposition-Level Clustering for Multi-Document Summarization
Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, and Ido Dagan. 2022 · 2022
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Effects of Learner-Generated Highlighting and Instructor-Provided Highlighting on Learning from Text: A Meta-Analysis
Héctor R. Ponce, Richard E. Mayer, and Ester E. Méndez. 2022 · 2022
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Controlled Text Reduction
Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, and Ido Dagan. 2022 · 2022
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How “Multi” is Multi-Document Summarization?
Ruben Wolhandler, Arie Cattan, Ori Ernst, and Ido Dagan. 2022 · 2022
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Attributable and Scalable Opinion Summarization
Tom Hosking, Hao Tang, and Mirella Lapata. 2023 · 2023
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USB: A Unified Summarization Benchmark Across Tasks and Domains
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron Wallace, Jeffrey Bigham, and Zachary Lipton. 2023 · 2023
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Models - OpenAI API
OpenAI. 2023 · 2023
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Don’t Add, don’t Miss: Effective Content Preserving Generation from Pre-Selected Text Spans
Aviv Slobodkin, Avi Caciularu, Eran Hirsch, and Ido Dagan. 2023a · 2023
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SummHelper: Collaborative Human-Computer Summarization
Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, and Ido Dagan. 2023b · 2023
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Multi-doc Hybrid Summarization via Salient Representation Learning
Min Xiao. 2023 · 2023
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Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction
Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, and Mohit Bansal. 2023 · 2023
Later among the works it cites.