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Current summarization systems only produce plain, factual headlines, but do not meet the practical needs of creating memorable titles to increase exposure.
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Clickbait? sensational headline generation with auto-tuned reinforcement learning
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Headline generation based on statistical translation
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Unsupervised domain adaptation for neural machine translation with iterative back translation
Di Jin, Zhijing Jin, Joey Tianyi Zhou, and Peter Szolovits. 2020 · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Hedge trimmer: A parse-and-trim approach to headline generation
Bonnie Dorr, David Zajic, and Richard Schwartz. 2003 · 2003
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Chin-Yew Lin. 2004 · 2004
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Evan Sandhaus. 2008 · 2008
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Teaching machines to read and comprehend
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Skip-thought vectors
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Multi-task sequence to sequence learning
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A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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A neural attention model for sentence summarization
Alexander M Rush, SEAS Harvard, Sumit Chopra, and Jason Weston. 2017 · 2015
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Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2018 · 2018
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Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2018 · 2018
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Extractive headline generation based on learning to rank for community question answering
Tatsuru Higurashi, Hayato Kobayashi, Takeshi Masuyama, and Kazuma Murao. 2018 · 2018
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Content selection in deep learning models of summarization
Chris Kedzie, Kathleen McKeown, and Hal Daume III. 2018 · 2018
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Junyang Lin, Xu Sun, Shuming Ma, and Qi Su. 2018 · 2018
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Review headline generation with user embedding
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M Rush. 2016 · 2016
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A learned representation for artistic style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al. 2016 · 2016
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Neural headline generation with sentence-wise optimization
Shiqi Shen, Yu Zhao, Zhiyuan Liu, Maosong Sun, et al. 2016 · 2016
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Neural headline generation on abstract meaning representation
Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, and Masaaki Nagata. 2016 · 2016
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Tianshang Liu, Haoran Li, Junnan Zhu, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
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Zero-shot cross-lingual neural headline generation
Shiqi Shen, Yun Chen, Cheng Yang, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
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Deep headline generation for clickbait detection
Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, and Huan Liu. 2018 · 2018
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Unpaired sentiment-to-sentiment translation: A cycled reinforcement learning approach
Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, and Wenjie Li. 2018 · 2018
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, and Taylor Berg-Kirkpatrick. 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. 2018a · 2018
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Unsupervised stylish image description generation via domain layer norm
Cheng-Kuan Chen, Zhu Feng Pan, Ming-Yu Liu, and Min Sun. 2019 · 2019
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Multiple news headlines generation using page metadata
Kango Iwama and Yoshinobu Kano. 2019 · 2019
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Unsupervised text attribute transfer via iterative matching and translation
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, and Enrico Santus. 2019 · 2019
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Multiple-attribute text rewriting
Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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