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Improving the Similarity Measure of Determinantal Point Processes for
  Extractive Multi-Document Summarization

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

31 May 2019
Sangwoo Cho
Logan Lebanoff
H. Foroosh
Fei Liu
ArXivPDFHTML

Papers citing "Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization"

16 / 16 papers shown
Title
Graph Convolutional Neural Networks with Diverse Negative Samples via
  Decomposed Determinant Point Processes
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Wei Duan
Junyu Xuan
Maoying Qiao
Jie Lu
28
8
0
05 Dec 2022
Diverse Multi-Answer Retrieval with Determinantal Point Processes
Diverse Multi-Answer Retrieval with Determinantal Point Processes
Poojitha Nandigam
Nikhil Rayaprolu
Manish Shrivastava
19
1
0
29 Nov 2022
Toward Unifying Text Segmentation and Long Document Summarization
Toward Unifying Text Segmentation and Long Document Summarization
Sangwoo Cho
Kaiqiang Song
Xiaoyang Wang
Fei Liu
Dong Yu
22
33
0
28 Oct 2022
Controlled Text Reduction
Controlled Text Reduction
Aviv Slobodkin
Paul Roit
Eran Hirsch
Ori Ernst
Ido Dagan
41
10
0
24 Oct 2022
Generating Tips from Song Reviews: A New Dataset and Framework
Generating Tips from Song Reviews: A New Dataset and Framework
Jingya Zang
Cuiyun Gao
Yupan Chen
Ruifeng Xu
Lanjun Zhou
Xuan Wang
18
1
0
14 May 2022
Submodlib: A Submodular Optimization Library
Submodlib: A Submodular Optimization Library
Vishal Kaushal
Ganesh Ramakrishnan
Rishabh K. Iyer
43
12
0
22 Feb 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
16
17
0
16 Dec 2021
SgSum: Transforming Multi-document Summarization into Sub-graph
  Selection
SgSum: Transforming Multi-document Summarization into Sub-graph Selection
Moye Chen
Wei Li
Jiachen Liu
Xinyan Xiao
Hua-Hong Wu
Haifeng Wang
21
22
0
25 Oct 2021
Differentiable Scaffolding Tree for Molecular Optimization
Differentiable Scaffolding Tree for Molecular Optimization
Tianfan Fu
Wenhao Gao
Cao Xiao
Jacob Yasonik
Connor W. Coley
Jimeng Sun
25
75
0
22 Sep 2021
SummerTime: Text Summarization Toolkit for Non-experts
SummerTime: Text Summarization Toolkit for Non-experts
Ansong Ni
Zhangir Azerbayev
Mutethia Mutuma
Troy Feng
Yusen Zhang
Tao Yu
Ahmed Hassan Awadallah
Dragomir R. Radev
24
10
0
29 Aug 2021
Diverse and Non-redundant Answer Set Extraction on Community QA based on
  DPPs
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs
Shogo Fujita
Tomohide Shibata
Manabu Okumura
26
5
0
18 Nov 2020
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
125
0
10 Nov 2020
Multi-document Summarization with Maximal Marginal Relevance-guided
  Reinforcement Learning
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
Yuning Mao
Yanru Qu
Yiqing Xie
Xiang Ren
Jiawei Han
AI4TS
15
45
0
30 Sep 2020
Query Understanding via Intent Description Generation
Query Understanding via Intent Description Generation
Ruqing Zhang
Jiafeng Guo
Yixing Fan
Yanyan Lan
Xueqi Cheng
24
17
0
25 Aug 2020
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
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,122
0
25 Jul 2012
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