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1
Poolingformer: Long Document Modeling with Pooling Attention ...
Zhang, Hang; Gong, Yeyun; Shen, Yelong. - : arXiv, 2021
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2
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation ...
Abstract: Now, the pre-training technique is ubiquitous in natural language processing field. ProphetNet is a pre-training based natural language generation method which shows powerful performance on English text summarization and question generation tasks. In this paper, we extend ProphetNet into other domains and languages, and present the ProphetNet family pre-training models, named ProphetNet-X, where X can be English, Chinese, Multi-lingual, and so on. We pre-train a cross-lingual generation model ProphetNet-Multi, a Chinese generation model ProphetNet-Zh, two open-domain dialog generation models ProphetNet-Dialog-En and ProphetNet-Dialog-Zh. And also, we provide a PLG (Programming Language Generation) model ProphetNet-Code to show the generation performance besides NLG (Natural Language Generation) tasks. In our experiments, ProphetNet-X models achieve new state-of-the-art performance on 10 benchmarks. All the models of ProphetNet-X share the same model structure, which allows users to easily switch between ... : Accepted by ACL 2021 demo papers ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2104.08006
https://arxiv.org/abs/2104.08006
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3
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation ...
Liang, Yaobo; Duan, Nan; Gong, Yeyun. - : arXiv, 2020
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4
GLGE: A New General Language Generation Evaluation Benchmark ...
Liu, Dayiheng; Yan, Yu; Gong, Yeyun. - : arXiv, 2020
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