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Current state-of-the-art cross-lingual summarization models employ multi-task learning paradigm, which works on a shared vocabulary module and relies on the self-attention mechanism to attend among tokens in two languages.
Improving sequence-to-sequence learning via optimal transport
Chen, L.; Zhang, Y.; Zhang, R.; Tao, C.; Gan, Z.; Zhang, H.; Li, B.; Shen, D.; Chen, C.; and Carin, L. 2019 · 1901
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Multilingual neural machine translation with knowledge distillation
Tan, X.; Ren, Y.; He, D.; Qin, T.; Zhao, Z.; and Liu, T.-Y. 2019 · 1902
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NCLS: Neural cross-lingual summarization
Zhu, J.; Wang, Q.; Wang, Y.; Zhou, Y.; Zhang, J.; Wang, S.; and Zong, C. 2019 · 1909
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Sinkhorn divergences for unbalanced optimal transport
Séjourné, T.; Feydy, J.; Vialard, F.-X.; Trouvé, A.; and Peyré, G. 2019 · 1910
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Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings
Werner, M.; and Laber, E. 2019 · 1912
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A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem
Benamou, J.-D.; and Brenier, Y. 2000 · 2000
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Knowledge distillation via adaptive instance normalization
Yang, J.; Martinez, B.; Bulat, A.; and Tzimiropoulos, G. 2020a · 2003
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Multi-Document Summarization Using Cross-Language Texts
Lim, J.-M.; Kang, I.-S.; and Lee, J.-H. 2004 · 2004
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Knowledge distillation for multilingual unsupervised neural machine translation
Sun, H.; Wang, R.; Chen, K.; Utiyama, M.; Sumita, E.; and Zhao, T. 2020 · 2004
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Optimal transport on complex networks
Danila, B.; Yu, Y.; Marsh, J. A.; and Bassler, K. E. 2006 · 2006
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Interactive knowledge distillation
Fu, S.; Li, Z.; Xu, J.; Cheng, M.-M.; Liu, Z.; and Yang, X. 2020 · 2007
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Evaluation of a cross-lingual romanian-english multi-document summariser
Orǎsan, C.; and Chiorean, O. A. 2008 · 2008
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Understanding the difficulty of training deep feedforward neural networks
Glorot, X.; and Bengio, Y. 2010 · 2010
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WikiLingua: A new benchmark dataset for cross-lingual abstractive summarization
Ladhak, F.; Durmus, E.; Cardie, C.; and McKeown, K. 2020 · 2010
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Cross-language document summarization based on machine translation quality prediction
Wan, X.; Li, H.; and Xiao, J. 2010 · 2010
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Using bilingual information for cross-language document summarization
Wan, X. 2011 · 2011
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A survey on unsupervised outlier detection in high-dimensional numerical data
Zimek, A.; Schubert, E.; and Kriegel, H.-P. 2012 · 2012
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Sinkhorn distances: Lightspeed computation of optimal transport
Cuturi, M. 2013 · 2013
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Numerical methods for matching for teams and Wasserstein barycenters
Carlier, G.; Oberman, A.; and Oudet, E. 2015 · 2015
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Distilling the knowledge in a neural network
Hinton, G.; Vinyals, O.; and Dean, J. 2015 · 2015
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From word embeddings to document distances
Kusner, M.; Sun, Y.; Kolkin, N.; and Weinberger, K. 2015 · 2015
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Optimal transport for domain adaptation
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization
Cao, Y.; Liu, H.; and Wan, X. 2020 · 2020
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Capturing greater context for question generation
Tuan, L. A.; Shah, D.; and Barzilay, R. 2020 · 2020
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Zhang, J.; Zhao, Y.; Saleh, M.; and Liu, P. 2020 · 2020
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Attend, translate and summarize: An efficient method for neural cross-lingual summarization
Zhu, J.; Zhou, Y.; Zhang, J.; and Zong, C. 2020 · 2020
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Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Bai, Y.; Gao, Y.; and Huang, H. 2021 · 2021
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Courty, N.; Flamary, R.; Tuia, D.; and Rakotomamonjy, A. 2016 · 2016
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Abstractive cross-language summarization via translation model enhanced predicate argument structure fusing
Zhang, J.; Zhou, Y.; and Zong, C. 2016 · 2016
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Gromov-Wasserstein alignment of word embedding spaces
Alvarez-Melis, D.; and Jaakkola, T. S. 2018 · 2018
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Knowledge distillation with feature maps for image classification
Chen, W.-C.; Chang, C.-C.; and Lee, C.-R. 2018 · 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. 2018 · 2018
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Attention-guided answer distillation for machine reading comprehension
Hu, M.; Peng, Y.; Wei, F.; Huang, Z.; Li, D.; Yang, N.; and Zhou, M. 2018 · 2018
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On knowledge distillation from complex networks for response prediction
Arora, S.; Khapra, M. M.; and Ramaswamy, H. G. 2019 · 2019
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Cole, S.; Eckstein, M.; Friedland, S.; and Życzkowski, K. 2021 · 2021
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Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Huang, K.-H.; Ahmad, W. U.; Peng, N.; and Chang, K.-W. 2021 · 2021
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Data Distillation for Text Classification
Li, Y.; and Li, W. 2021 · 2021
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VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
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Improving Unsupervised Question Answering via Summarization-Informed Question Generation
Lyu, C.; Shang, L.; Graham, Y.; Foster, J.; Jiang, X.; and Liu, Q. 2021 · 2021
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Contrastive Learning for Neural Topic Model
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Enriching and controlling global semantics for text summarization
Nguyen, T.; Luu, A. T.; Lu, T.; and Quan, T. 2021 · 2021
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Selective Knowledge Distillation for Neural Machine Translation
Wang, F.; Yan, J.; Meng, F.; and Zhou, J. 2021 · 2021
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Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
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A robust abstractive system for cross-lingual summarization
Ouyang, J.; Song, B.; and McKeown, K. 2019 · 2031
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