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Hierarchical Cross-Modality Semantic Correlation Learning Model for
  Multimodal Summarization

Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization

16 December 2021
Litian Zhang
Xiaoming Zhang
Junshu Pan
Feiran Huang
ArXivPDFHTML

Papers citing "Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization"

18 / 18 papers shown
Title
Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization
Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization
Liqiang Jing
Jingxuan Zuo
Yue Zhang
73
8
0
31 Dec 2024
MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical
  Attention
MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention
Aman Khullar
Udit Arora
31
43
0
15 Oct 2020
VMSMO: Learning to Generate Multimodal Summary for Video-based News
  Articles
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles
Li Mingzhe
Preslav Nakov
Shen Gao
Zhangming Chan
Dongyan Zhao
Rui Yan
50
83
0
12 Oct 2020
Multi-modal Summarization for Video-containing Documents
Multi-modal Summarization for Video-containing Documents
Xiyan Fu
Jun Wang
Zhenglu Yang
43
23
0
17 Sep 2020
Extractive Summarization of Long Documents by Combining Global and Local
  Context
Extractive Summarization of Long Documents by Combining Global and Local Context
Wen Xiao
Giuseppe Carenini
87
151
0
17 Sep 2019
NEZHA: Neural Contextualized Representation for Chinese Language
  Understanding
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
Junqiu Wei
Xiaozhe Ren
Xiaoguang Li
Wenyong Huang
Yi-Lun Liao
Yasheng Wang
Jianghao Lin
Xin Jiang
Xiao Chen
Qun Liu
23
116
0
31 Aug 2019
LXMERT: Learning Cross-Modality Encoder Representations from
  Transformers
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Hao Tan
Joey Tianyi Zhou
VLM
MLLM
207
2,467
0
20 Aug 2019
Multimodal Abstractive Summarization for How2 Videos
Multimodal Abstractive Summarization for How2 Videos
Shruti Palaskar
Jindrich Libovický
Spandana Gella
Florian Metze
56
96
0
19 Jun 2019
Abstractive Text Summarization by Incorporating Reader Comments
Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao
Preslav Nakov
Piji Li
Zhaochun Ren
Lidong Bing
Dongyan Zhao
Rui Yan
28
68
0
13 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.0K
93,936
0
11 Oct 2018
Neural Latent Extractive Document Summarization
Neural Latent Extractive Document Summarization
Xingxing Zhang
Mirella Lapata
Furu Wei
M. Zhou
47
155
0
22 Aug 2018
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
102
4,201
0
25 Jul 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
190
4,006
0
14 Apr 2017
Enhanced LSTM for Natural Language Inference
Enhanced LSTM for Natural Language Inference
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
Diana Inkpen
LRM
ReLM
74
1,128
0
20 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
316
7,951
0
17 Aug 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
412
61,900
0
04 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
889
149,474
0
22 Dec 2014
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