More can see here

Can We Automate Scientific Reviewing?

Weizhe Yuan, Pengfei Liu*, and Graham Neubig (* denotes corresponding author)
Preprint 2021 [ Pdf ] [Online System] [Github] [Synced] [Chinese Media]

[NEW] ExplainaBoard: An Explainable Leaderboard for NLP

Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
ACL 2021 Best Demo Paper [ Pdf ] [Online Research Tool] [Github] [Chinese Media]

[NEW]SpanNER: Named Entity Re-/Recognition as Span Prediction

Jinlan Fu, Xuanjing Huang Pengfei Liu* (* denotes corresponding author)
ACL 2021 [ To Appear ]

[NEW] Leveraging the Citation Graph for Scientific Information Extraction

Vijay Viswanathan, Graham Neubig Pengfei Liu* (* denotes corresponding author)
ACL 2021 [ To Appear ]

[NEW] SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

Yixin Liu, Pengfei Liu* (* denotes corresponding author)
ACL 2021 [ To Appear ]

[NEW] How well do you know your summarization datasets?

Priyam Tejaswin, Dhruv Naik Pengfei Liu* (* denotes corresponding author)
ACL 2021 Findings [ To Appear ]

[NEW] RefSum: Refactoring Neural Summarization

Yixin Liu, Zi-Yi Dou Pengfei Liu* (* denotes corresponding author)
NAACL 2021 [ Pdf ]

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

Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang and Pengfei Liu* (* denotes corresponding author)
NAACL 2021 [ Pdf ]

[NEW] GSum: A General Framework for Guided Neural Abstractive Summarization

Zi-Yi Dou, Pengfei Liu*, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig (* denotes co-advisor)
NAACL 2021. [ Paper ][Code] A Simple Guided Framework, easy to achieve New SOTA by a large margin on CNN/DM

[NEW]Does RoBERTa Contain Sufficient Syntactic Information for Aspect-Level Sentiment Classification?

Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu and Xipeng Qiu
NAACL 2021 [ Pdf ]

[NEW] Towards More Fine-grained and Reliable NLP Performance Prediction

Zihuiwen Ye, Pengfei Liu+, Jinlan Fu and Graham Neubig (+ denotes co-advisor)
EACL 2021 [ Paper ][ Github ]

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

Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu+ (+ denotes advisor)
The 28th International Conference on Computational Linguistics (COLING 2020). [ pdf ]

[NEW]RealSum: Re-evaluating Evaluation in Text Summarization

Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu+, Graham Neubig (+ denotes co-advisor)
Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Long). [ Paper ][Project]

[NEW] Interpretable Multi-dataset Evaluation for Named Entity Recognition,

Jinlan Fu*, Pengfei Liu*, Graham Neubig
Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Long). [ To Appear ]

[NEW] Is Chinese Word Segmentation a Solved Task? Rethinking Neural Chinese Word Segmentation,

Jinlan Fu*, Pengfei Liu*, Qi Zhang, Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Long). [ To Appear ]

[NEW] CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems,

Yiran Chen*, Pengfei Liu*, Ming Zhong, Danqing Wang, Ziyi Dou, Xipeng Qiu, Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2020 Findings, Long). [ Paper ]

[NEW] Extractive Summarization as Text Matching,

Ming Zhong*, Pengfei Liu*, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
The annual meeting of the Association for Computational Linguistics(ACL 2020, Long). [ pdf ], [ Proj. with code ][Snapshoot] [ Chinese Blog ]
New Extractive Framework! Easy to achieve New SOTA! (44.41 R1 on CNN/DM)

[NEW] Heterogeneous Graph Neural Networks for Extractive Document Summarization,

Danqing Wang*, Pengfei Liu*, Yining Zheng, Xipeng Qiu, Xuanjing Huang
The annual meeting of the Association for Computational Linguistics(ACL 2020, Long).

[NEW] Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study,

Jinlan Fu*, Pengfei Liu*, Qi Zhang, Xuanjing Huang
Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020). [ pdf ][ Project ]

[NEW] Zero-shot Text-to-SQL Learning with Auxiliary Task,

Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020). [ pdf ]

[NEW] Multi-Scale Self-Attention for Text Classification

Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020). [ pdf ]

[NEW] Learning Sparse Sharing Architectures for Multiple Tasks,

Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang
Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020). [ pdf ]

[NEW] Searching for Effective Neural Extractive Summarization: What Works and What’s Next,

Ming Zhong*, Pengfei Liu*, Danqing Wang, Xipeng Qiu, Xuanjing Huang
The annual meeting of the Association for Computational Linguistics(ACL 2019, Long). [ pdf, Proj. with code ]

[NEW] TIGS: An Inference Algorithm for Text Infilling with Gradient Search,

Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv
The annual meeting of the Association for Computational Linguistics(ACL 2019, Long). [ pdf ]

[NEW] A Closer Look at Data Bias in Neural Extractive Summarization Models ,

Ming Zhong*, Danqing Wang*, Pengfei Liu*, Xipeng Qiu, Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) Workshop on New Frontiers in Summarization [ pdf]

[NEW] Contextualized non-local neural networks for sequence learning,

Pengfei Liu, Shuaicheng Chang, Jian Tang, Jackie Chi Kit Cheung
Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019). [ pdf ] [ story ]

[NEW] Learning multi-task communication with message passing,

Pengfei Liu, Jie Fu*, Yue Dong*, Xipeng Qiu, Jackie Chi Kit Cheung
Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019). [ pdf ] [ story ]

[NEW] Star Transformer,

Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
The North American Chapter of the Association for Computational Linguistics (NAACL 2019). [ pdf ] [ code ]

[NEW] Dynamic Interaction Networks for Image-Text Multimodal Learning,

Wenshan Wang*, Pengfei Liu*, Su Yang, Weishan Zhang
Neurocomputing. [ pdf ]

[NEW] DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks,

Lin Zehui, Pengfei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang
arXiv Preprint 2019 [ pdf]

Meta Multi-Task Learning for Sequence Modeling

Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang
Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI 2018). [ pdf ]

Meta-Learning Multi-task Communication

Pengfei Liu, Xuanjing Huang
arXiv Preprint 2018. [ pdf]

RNNs with Private and Shared Representations for Semi-Supervised Sequence Learning

Ge Ya Luo, Jie Fu, Pengfei Liu, Zhi Hao Luo, Chris Pal
arXiv Preprint 2018. [ pdf]

Adversarial Multi-task Learning for Text Classification

Pengfei Liu, Xipeng Qiu, and Xuanjing Huang
The annual meeting of the Association for Computational Linguistics(ACL 2017, Long). [ pdf, project with dataset and code, Slide ]

Dynamic Compositional Neural Networks over Tree Structure

Pengfei Liu, Xipeng Qiu, Xuanjing Huang
Proceedings of International Joint Conference on Artificial Intelligence(IJCAI 2017). [ pdf, project with code ]

Idiom-Aware Compositional Distributed Semantics

Pengfei Liu, kaiyu Qian, Xipeng Qiu and Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2017, Long). [ pdf ]

Adaptive Semantic Compositionality for Sentence Modelling

Pengfei Liu, Xipeng Qiu, Xuanjing Huang
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2017). [ pdf ]

Recurrent Neural Network for Text Classification with Multi-Task Learning

Pengfei Liu,, Xipeng Qiu, Xuanjing Huang
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2016). [ pdf, demo[Chinese], demo[English], poster, slide, code ]

Deep Multi-Task Learning with Shared Memory

Pengfei Liu, Xipeng Qiu and Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016, Long). [ pdf ]

Modelling Interaction of Sentence Pair with Coupled-LSTMs

Pengfei Liu, Xipeng Qiu and Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016, Long). [ pdf ]

Deep Fusion LSTMs for Text Semantic Matching

Pengfei Liu, Xipeng Qiu, Jifan Chen, and Xuanjing Huang
The annual meeting of the Association for Computational Linguistics (ACL 2016, Long). [ pdf, code]

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network

Jifan Chen, Qi Zhang, Pengfei Liu,, Xipeng Qiu and Xuanjing Huang
The annual meeting of the Association for Computational Linguistics (ACL 2016, Long). [ pdf ]

Discourse Relations Detection via a Mixed Generative-Discriminative Framework

Jifan Chen, Qi Zhang, Pengfei Liu,, Xuanjing Huang
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI 2016). [ pdf ]

Syntax-based Attention Model for Natural Language Inference

Pengfei Liu, Xipeng Qiu and Xuanjing Huang
arXiv Preprint 2016. [ pdf ]

Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents

Pengfei Liu,, Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2015, Long). [ pdf, slide ]

Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model

Pengfei Liu,, Xipeng Qiu, Xuanjing Huang
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI 2015). [ pdf, poster, slide ]

Long Short-Term Memory Neural Networks for Chinese Word Segmentation

Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP 2015, Long). [ pdf ]