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Multi-document Summarization with Maximal Marginal Relevance-guided
  Reinforcement Learning

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning

30 September 2020
Yuning Mao
Yanru Qu
Yiqing Xie
Xiang Ren
Jiawei Han
    AI4TS
ArXivPDFHTML

Papers citing "Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning"

13 / 13 papers shown
Title
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following
Gabrielle Kaili-May Liu
Bowen Shi
Avi Caciularu
Idan Szpektor
Arman Cohan
72
4
0
30 Oct 2024
Rethinking Transformer-based Multi-document Summarization: An Empirical
  Investigation
Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation
Congbo Ma
Wei Emma Zhang
Dileepa Pitawela
Haojie Zhuang
Yanfeng Shu
22
0
0
16 Jul 2024
DynED: Dynamic Ensemble Diversification in Data Stream Classification
DynED: Dynamic Ensemble Diversification in Data Stream Classification
Soheil Abadifard
Sepehr Bakhshi
Sanaz Gheibuni
Fazli Can
24
2
0
21 Aug 2023
PDSum: Prototype-driven Continuous Summarization of Evolving
  Multi-document Sets Stream
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream
Susik Yoon
Hou Pong Chan
Jiawei Han
37
7
0
10 Feb 2023
Combining State-of-the-Art Models with Maximal Marginal Relevance for
  Few-Shot and Zero-Shot Multi-Document Summarization
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization
David Adams
Gandharv Suri
Yllias Chali
VLM
32
3
0
19 Nov 2022
Proposition-Level Clustering for Multi-Document Summarization
Proposition-Level Clustering for Multi-Document Summarization
Ori Ernst
Avi Caciularu
Ori Shapira
Ramakanth Pasunuru
Joey Tianyi Zhou
Jacob Goldberger
Ido Dagan
24
17
0
16 Dec 2021
Extract, Denoise and Enforce: Evaluating and Improving Concept
  Preservation for Text-to-Text Generation
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation
Yuning Mao
Wenchang Ma
Deren Lei
Jiawei Han
Xiang Ren
29
4
0
18 Apr 2021
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
13
126
0
10 Nov 2020
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
Jiaxin Ju
Ming Liu
Longxiang Gao
Shirui Pan
68
13
0
19 Oct 2020
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,433
0
22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
270
13,368
0
25 Aug 2014
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,124
0
25 Jul 2012
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