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Significant developments in techniques such as encoder-decoder models have enabled us to represent information comprising multiple modalities.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
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Visualbert: A simple and performant baseline for vision and language
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang. 2019 · 1908
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New methods in automatic extracting
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Centroid-based summarization of multiple documents
Dragomir R Radev, Hongyan Jing, Małgorzata Styś, and Daniel Tam. 2004 · 2004
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Mlsum: The multilingual summarization corpus
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, and Jacopo Staiano. 2020 · 2004
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News keyword extraction for topic tracking
Sungjick Lee and Han-joon Kim. 2008 · 2008
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Multi-document summarization model based on integer linear programming
Rasim Alguliev, Ramiz Aliguliyev, and Makrufa Hajirahimova. 2010 · 2010
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Vmsmo: Learning to generate multimodal summary for video-based news articles
Mingzhe Li, Xiuying Chen, Shen Gao, Zhangming Chan, Dongyan Zhao, and Rui Yan. 2020 · 2010
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mt5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2020 · 2010
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyung Hyun Cho, and Yoshua Bengio. 2015 · 2015
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, C. D. Santos, Çaglar Gülçehre, and Bing Xiang. 2016 · 2016
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Imagination improves multimodal translation
Desmond Elliott and Ákos Kádár. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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A survey of multimodal sentiment analysis
Mohammad Soleymani, David Garcia, Brendan Jou, Björn Schuller, Shih-Fu Chang, and Maja Pantic. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A survey on automatic image caption generation
Shuang Bai and Shan An. 2018 · 2018
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Abstractive text-image summarization using multi-modal attentional hierarchical rnn
Jingqiang Chen and Hai Zhuge. 2018 · 2018
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Multi-modal sentence summarization with modality attention and image filtering
Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
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Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2018 · 2018
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How2: A large-scale dataset for multimodal language understanding
Text-image-video summary generation using joint integer linear programming
Anubhav Jangra, Adam Jatowt, Mohammad Hasanuzzaman, and Sriparna Saha. 2020a · 2020
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Hooks in the headline: Learning to generate headlines with controlled styles
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, and Peter Szolovits. 2020 · 2020
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Wikilingua: A new benchmark dataset for multilingual abstractive summarization
Faisal Ladhak, Esin Durmus, Claire Cardie, and Kathleen McKeown. 2020 · 2020
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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fugashi, a tool for tokenizing Japanese in python
Paul McCann. 2020 · 2020
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Ramon Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loïc Barrault, Lucia Specia, and Florian Metze. 2018 · 2018
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Question headline generation for news articles
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, and Xueqi Cheng. 2018 · 2018
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Msmo: Multimodal summarization with multimodal output
Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Self-attentive model for headline generation
Daniil Gavrilov, Pavel Kalaidin, and Valentin Malykh. 2019 · 2019
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Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019 · 2019
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Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm
Naveen Saini, Sriparna Saha, Anubhav Jangra, and Pushpak Bhattacharyya. 2019 · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter Liu. 2020 · 2020
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Unified vision-language pre-training for image captioning and vqa
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J Corso, and Jianfeng Gao. 2020 · 2020
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Summeval: Re-evaluating summarization evaluation
A. R. Fabbri, Wojciech Kryscinski, Bryan McCann, R. Socher, and Dragomir Radev. 2021 · 2021
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Xl-sum: Large-scale multilingual abstractive summarization for 44 languages
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M Sohel Rahman, and Rifat Shahriyar. 2021 · 2021
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Mimoqa: Multimodal input multimodal output question answering
Hrituraj Singh, Anshul Nasery, Denil Mehta, Aishwarya Agarwal, Jatin Lamba, and Balaji Vasan Srinivasan. 2021 · 2021
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Contrastive aligned joint learning for multilingual summarization
Danqing Wang, Jiaze Chen, Hao Zhou, Xipeng Qiu, and Lei Li. 2021 · 2021
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Combining vision and language representations for patch-based identification of lexico-semantic relations
Prince Jha, Gaël Dias, Alexis Lechervy, Jose G Moreno, Anubhav Jangra, Sebastião Pais, and Sriparna Saha. 2022 · 2022
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Topic-aware multimodal summarization
Sourajit Mukherjee, Anubhav Jangra, Sriparna Saha, and Adam Jatowt. 2022 · 2022
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Maked: Multi-lingual automatic keyword extraction dataset
Yash Verma, Anubhav Jangra, Sriparna Saha, Adam Jatowt, and Dwaipayan Roy. 2022 · 2022
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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