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A Double-Graph Based Framework for Frame Semantic Parsing


Jun 18, 2022
Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang

* 14 pages 

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A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction


Apr 30, 2022
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui

* Long paper in NAACL 2022 main conference 

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ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs


Apr 20, 2022
Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang

* NAACL 2022 Findings. Code and models are released at https://github.com/chenllliang/ATP 

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On Effectively Learning of Knowledge in Continual Pre-training


Apr 17, 2022
Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang


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Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency


Apr 06, 2022
Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang

* ACL 2022 Main Conference, Camera-ready version 

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Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning


Apr 01, 2022
Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang


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Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation


Mar 11, 2022
Liang Chen, Runxin Xu, Baobao Chang

* ACL 2022 Main Conference, released at https://github.com/PKUnlp-icler/MLS 

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From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression


Dec 14, 2021
Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

* Accepted to AAAI 2022 

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An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling


Sep 27, 2021
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui


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