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We address the problem of unsupervised abstractive summarization of collections of user generated reviews with self-supervision and control.
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Opinosis: A graph based approach to abstractive summarization of highly redundant opinions
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Luong, T., Sutskever, I., Le, Q. V., Vinyals, O., and Zaremba, W · 2015
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Variations of the similarity function of textrank for automated summarization
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Deep reinforcement learning for dialogue generation
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Ranzato, M., Chopra, S., Auli, M., and Zaremba, W · 2016
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Neural network-based abstract generation for opinions and arguments
Wang, L. and Ling, W · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Guided open vocabulary image captioning with constrained beam search
Anderson, P., Fernando, B., Johnson, M., and Gould, S · 2017
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Controllable abstractive summarization
Fan, A., Grangier, D., and Auli, M · 2017
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Gholipour Ghalandari, D · 2017
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An unsupervised neural attention model for aspect extraction
Unsupervised text style transfer using language models as discriminators
Yang, Z., Hu, Z., Dyer, C., Xing, E. P., and Berg-Kirkpatrick, T · 2018
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Chu, E. and Liu, P. J · 2019
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Unsupervised aspect-based multi-document abstractive summarization
Coavoux, M., Elsahar, H., and Gallé, M · 2019
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Dathathri, S., Madotto, A., Lan, J., Hung, J., Frank, E., Molino, P., Yosinski, J., and Liu, R · 2019
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He, R., Lee, W. S., Ng, H. T., and Dahlmeier, D · 2017
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Lexically constrained decoding for sequence generation using grid beam search
Hokamp, C. and Liu, Q · 2017
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Categorical reparameterization with gumbel-softmax
Jang, E., Gu, S., and Poole, B · 2017
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Improved image captioning via policy gradient optimization of spider
Liu, S., Zhu, Z., Ye, N., Guadarrama, S., and Murphy, K · 2017
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Centroid-based text summarization through compositionality of word embeddings
Rossiello, G., Basile, P., and Semeraro, G · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I · 2017
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Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised
Angelidis, S. and Lapata, M · 2018
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Unsupervised neural machine translation
Artetxe, M., Labaka, G., Agirre, E., and Cho, K · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2019
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Unsupervised latent tree induction with deep inside-outside recursive autoencoders
Drozdov, A., Verga, P., Yadav, M., Iyyer, M., and McCallum, A · 2019
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Ranking generated summaries by correctness: An interesting but challenging application for natural language inference
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Microsoft translator at WMT 2019: Towards large-scale document-level neural machine translation
Junczys-Dowmunt, M · 2019
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Unsupervised question answering by cloze translation
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Hierarchical transformers for multi-document summarization
Liu, Y. and Lapata, M · 2019
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Pytorch: An imperative style, high-performance deep learning library
Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., and Chintala, S · 2019
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A Simple Theoretical Model of Importance for Summarization
Peyrard, M · 2019
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What makes a good conversation? how controllable attributes affect human judgments
See, A., Roller, S., Kiela, D., and Weston, J · 2019
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BottleSum: Unsupervised and self-supervised sentence summarization using the information bottleneck principle
West, P., Holtzman, A., Buys, J., and Choi, Y · 2019
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Cycle-sum: cycle-consistent adversarial lstm networks for unsupervised video summarization
Yuan, L., Tay, F. E., Li, P., Zhou, L., and Feng, J · 2019
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Defending against neural fake news
Zellers, R., Holtzman, A., Rashkin, H., Bisk, Y., Farhadi, A., Roesner, F., and Choi, Y · 2019
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Zhang, J., Zhao, Y., Saleh, M., and Liu, P. J · 2019
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Sentence centrality revisited for unsupervised summarization
Zheng, H. and Lapata, M · 2019
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Bertscore: Evaluating text generation with bert
Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q., and Artzi, Y · 2020
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