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See, Hear, Read: Leveraging Multimodality with Guided Attention for
  Abstractive Text Summarization

See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization

20 May 2021
Yash Kumar Atri
Shraman Pramanick
Vikram Goyal
Tanmoy Chakraborty
ArXivPDFHTML

Papers citing "See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization"

3 / 3 papers shown
Title
LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning
LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning
Joy Lim Jia Yin
Daniel Zhang-Li
Jifan Yu
Yiming Li
Shangqing Tu
...
Zhiyuan Liu
Huiqin Liu
Lei Hou
Juanzi Li
Bin Xu
24
0
0
04 May 2025
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
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
1