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「2021」

  • new ExpMRC: Explainability Evaluation for Machine Reading Comprehension
    • Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang. arXiv pre-print: 2105.04126. [pdf] [bib] [arXiv] ExpMRC
  • new Benchmarking Robustness of Machine Reading Comprehension Models
    • Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang. Findings of ACL 2021. [pdf] [bib] [arXiv] AdvRACE
  • Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
    • Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu. arXiv pre-print: 2102.03741. [pdf] [bib] [arXiv]
  • 「2020」

  • Unsupervised Explanation Generation for Machine Reading Comprehension
    • Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu. arXiv pre-print: 2011.06737. [pdf] [bib] [arXiv]
  • A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
    • Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu. COLING 2020. [pdf] [bib] [arXiv] CMRC 2019
  • CharBERT: Character-aware Pre-trained Language Model
  • Revisiting Pre-Trained Models for Chinese Natural Language Processing
    • Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu. Findings of EMNLP 2020. [pdf] [bib] [arXiv] MacBERT
  • Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
  • Is Graph Structure Necessary for Multi-hop Question Answering?
    • Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu. EMNLP 2020. [pdf] [bib] [arXiv]
  • Conversational Word Embedding for Retrieval-based Dialog System
  • TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
  • Discriminative Sentence Modeling for Story Ending Prediction
    • Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu. AAAI 2020. [pdf] [bib] [arXiv]
  • 「2019」

  • Cross-Lingual Machine Reading Comprehension
  • A Span-Extraction Dataset for Chinese Machine Reading Comprehension
  • TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
  • Highly Influential Pre-Training with Whole Word Masking for Chinese BERT
  • Improving Machine Reading Comprehension via Adversarial Training
    • Ziqing Yang, Yiming Cui, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu. arXiv pre-print: 1911.03614. [pdf] [bib] [arXiv]
  • Contextual Recurrent Units for Cloze-style Reading Comprehension
    • Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu. arXiv pre-print: 1911.05960. [pdf] [bib] [arXiv]
  • CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
    • Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu. CCL 2019. [pdf] [bib] [arXiv] CJRC
  • Exploiting Persona Information for Diverse Generation of Conversational Responses
    • Haoyu Song, Wei-Nan Zhang, Yiming Cui, Dong Wang, Ting Liu. IJCAI 2019. [pdf] [bib] [arXiv]
  • Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
  • 「2018」

  • A Car Manual Question Answering System based on Neural Network / 基于神经网络的汽车说明书问答系统
    • Le Qi, Yu Zhang, Wentao Ma, Yiming Cui, Shijin Wang, Ting Liu. CCIR 2018. [pdf] [bib] [arXiv]
  • Context-Sensitive Generation of Open-Domain Conversational Responses
    • Wei-Nan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu. COLING 2018. [pdf] [bib] [arXiv]
  • HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension
    • Zhipeng Chen, Yiming Cui*, Wentao Ma, Shijin Wang, Ting Liu, Guoping Hu. arXiv pre-print: 1803.05655. [pdf] [bib] [arXiv]
  • Dataset for the First Evaluation on Chinese Machine Reading Comprehension
  • 「2017」

  • The Brilliant Chinese Achievements in SQuAD Challenge / 斯坦福SQuAD挑战赛的中国亮丽榜单
    • Yiming Cui, Ting Liu, Shijin Wang, Zhipeng Chen, Wentao Ma, Guoping Hu. Communication of CCF, 2017-09, Vol.13, Issue.9. [pdf] [bib]
  • Highly Influential Attention-over-Attention Neural Networks for Reading Comprehension
  • Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
  • 「2016」

  • Highly Influential Consensus Attention-based Neural Networks for Chinese Reading Comprehension
  • LSTM Neural Reordering Feature for Statistical Machine Translation
  • 「Before 2016」

  • Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT
    • Yiming Cui, Conghui Zhu, Xiaoning Zhu, Tiejun Zhao arXiv pre-print: 1512.00170. [pdf] [bib] [arXiv]
  • Context-extended Phrase Reordering Model for Pivot-based Statistical Machine Translation
    • Xiaoning Zhu, Tiejun Zhao, Yiming Cui, Conghui Zhu. IALP 2015. [pdf](available upon request) [bib]
  • The USTC Machine Translation System for IWSLT2014
    • Shijin Wang, Yuguang Wang, Jianfeng Li, Yiming Cui, Lirong Dai. IWSLT 2014. [pdf] [bib]
  • Phrase Table Combination Deficiency Analyses in Pivot-based SMT
    • Yiming Cui, Conghui Zhu, Xiaoning Zhu, Tiejun Zhao, Dequan Zheng. NLDB 2013. [pdf] [bib]
  • The HIT-LTRC Machine Translation System for IWSLT 2012
    • Xiaoning Zhu, Yiming Cui, Conghui Zhu, Tiejun Zhao, Hailong Cao. IWSLT 2012. [pdf] [bib] [slides]