ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.05739
  4. Cited By
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive
  Summarization
v1v2v3v4 (latest)

MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization

12 October 2018
Eric Chu
Peter J. Liu
ArXiv (abs)PDFHTML

Papers citing "MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization"

12 / 12 papers shown
A Systematic Survey of Text Summarization: From Statistical Methods to
  Large Language Models
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang
Philip S. Yu
Jiawei Zhang
284
93
0
17 Jun 2024
Recent Trends in Unsupervised Summarization
Recent Trends in Unsupervised Summarization
Mohammad Khosravani
Amine Trabelsi
178
0
0
18 May 2023
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised
  Summarization
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization
Saurabh Jain
Guokai Tang
L. Chi
76
1
0
01 May 2021
An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations
Saibo Geng
Diego Antognini
186
0
0
07 Dec 2020
Reference and Document Aware Semantic Evaluation Methods for Korean
  Language Summarization
Reference and Document Aware Semantic Evaluation Methods for Korean Language SummarizationInternational Conference on Computational Linguistics (COLING), 2020
Dongyub Lee
M. Shin
Taesun Whang
Seung Woo Cho
Byeongil Ko
Daniel Lee
EungGyun Kim
Jaechoon Jo
181
15
0
29 Apr 2020
Contrastive Multi-document Question Generation
Contrastive Multi-document Question GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2019
W. Cho
Yizhe Zhang
Sudha Rao
Asli Celikyilmaz
Chenyan Xiong
Jianfeng Gao
Mengdi Wang
Bill Dolan
SyDa
356
31
0
08 Nov 2019
Generating a Common Question from Multiple Documents using Multi-source
  Encoder-Decoder Models
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
W. Cho
Yizhe Zhang
Sudha Rao
Chris Brockett
Sungjin Lee
177
7
0
25 Oct 2019
Neural Text Summarization: A Critical Evaluation
Neural Text Summarization: A Critical EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
255
386
0
23 Aug 2019
Unsupervised Neural Single-Document Summarization of Reviews via
  Learning Latent Discourse Structure and its Ranking
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its RankingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
BDL
146
42
0
13 Jun 2019
Sentence Centrality Revisited for Unsupervised Summarization
Sentence Centrality Revisited for Unsupervised SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Hao Zheng
Mirella Lapata
184
180
0
08 Jun 2019
Multi-News: a Large-Scale Multi-Document Summarization Dataset and
  Abstractive Hierarchical Model
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Alexander R. Fabbri
Irene Li
Tianwei She
Suyi Li
Dragomir R. Radev
443
659
0
04 Jun 2019
Hierarchical Transformers for Multi-Document Summarization
Hierarchical Transformers for Multi-Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Yang Liu
Mirella Lapata
276
309
0
30 May 2019
1