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Hierarchical neural architectures are often used to capture long-distance dependencies and have been applied to many document-level tasks such as summarization, document segmentation, and sentiment analysis.
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Jianpeng Cheng and Mirella Lapata · 2016
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Felix Hill, Kyunghyun Cho, and Anna Korhonen · 2016
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Sebastian Ruder, Parsa Ghaffari, and John G Breslin · 2016
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Sebastian Gehrmann, Yuntian Deng, and Alexander M Rush · 2018
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Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, and Jonathan Berant · 2018
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