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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing


Jul 28, 2021
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig

* Website: http://pretrain.nlpedia.ai/ 

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BARTScore: Evaluating Generated Text as Text Generation


Jun 22, 2021
Weizhe Yuan, Graham Neubig, Pengfei Liu

* Demo at http://explainaboard.nlpedia.ai/leaderboard/task-meval/ 

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How well do you know your summarization datasets?


Jun 21, 2021
Priyam Tejaswin, Dhruv Naik, Pengfei Liu

* Accepted into Findings of ACL-IJCNLP 2021 

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SpanNER: Named Entity Re-/Recognition as Span Prediction


Jun 06, 2021
Jinlan Fu, Xuanjing Huang, Pengfei Liu

* Accepted by ACL 2021 (Main track) 

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SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization


Jun 03, 2021
Yixin Liu, Pengfei Liu

* Published as a short paper at ACL 2021 

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CitationIE: Leveraging the Citation Graph for Scientific Information Extraction


Jun 03, 2021
Vijay Viswanathan, Graham Neubig, Pengfei Liu

* ACL-IJCNLP 2021 camera-ready (long paper in main conference) 

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SpanNer: Named Entity Re-/Recognition as Span Prediction


Jun 01, 2021
Jinlan Fu, Xuanjing Huang, Pengfei Liu

* Accepted by ACL 2021 

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Hierarchical Modeling for Out-of-Scope Domain and Intent Classification


Apr 30, 2021
Pengfei Liu, Kun Li, Helen Meng

* Submitted to Interspeech-2021 

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Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing


Apr 25, 2021
Pengfei Liu, Youzhang Ning, King Keung Wu, Kun Li, Helen Meng


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XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation


Apr 15, 2021
Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson


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RefSum: Refactoring Neural Summarization


Apr 15, 2021
Yixin Liu, Zi-Yi Dou, Pengfei Liu

* NAACL 2021 

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EXPLAINABOARD: An Explainable Leaderboard for NLP


Apr 13, 2021
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaicheng Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig


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Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa


Apr 11, 2021
Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu

* Accepted by NAACL 2021 

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Larger-Context Tagging: When and Why Does It Work?


Apr 09, 2021
Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu

* Accepted by NAACL 2021 

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Towards More Fine-grained and Reliable NLP Performance Prediction


Feb 10, 2021
Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig

* Accepted by EACL 2021 

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Can We Automate Scientific Reviewing?


Jan 30, 2021
Weizhe Yuan, Pengfei Liu, Graham Neubig

* TLDR: This paper proposes to use NLP models to generate first-pass peer reviews for scientific papers . (Generated by our system.) 

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Interpretable Multi-dataset Evaluation for Named Entity Recognition


Dec 09, 2020
Jinlan Fu, Pengfei Liu, Graham Neubig

* Accepted by EMNLP 2020 

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RethinkCWS: Is Chinese Word Segmentation a Solved Task?


Dec 09, 2020
Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

* Accepted by EMNLP 2020 

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Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics


Nov 08, 2020
Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu

* Accepted at COLING 2020 

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CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems


Oct 22, 2020
Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

* 13 pages, Findings of EMNLP2020 

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GSum: A General Framework for Guided Neural Abstractive Summarization


Oct 15, 2020
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig


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Re-evaluating Evaluation in Text Summarization


Oct 14, 2020
Manik Bhandari, Pranav Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig

* Accepted at EMNLP 2020 

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Heterogeneous Graph Neural Networks for Extractive Document Summarization


Apr 26, 2020
Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang

* Accepted by ACL2020 

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Extractive Summarization as Text Matching


Apr 19, 2020
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

* Accepted by ACL 2020 

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Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study


Jan 12, 2020
Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

* Accepted by AAAI 2020 

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RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving


Jan 10, 2020
Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao

* 11 pages, 4 figures and 7 tables 

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Multi-Scale Self-Attention for Text Classification


Dec 02, 2019
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang

* Accepted in AAAI2020 

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