Publications

  1. Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
    Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, Chulaka Gunasekara, Sachindra Joshi and Yangfeng Ji
    NAACL, 2021
    arXiv  
  2. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
    Sebastian Gehrmann et al.
    Preprint, 2021
    arXiv  
  3. This is a Problem, Don't You Agree? Framing and Bias in Human Evaluation for Natural Language Generation
    Stephanie Schoch, Diyi Yang, Yangfeng Ji
    Workshop on Evaluating NLG Evaluation at INLG, 2020
    ACL Anthology  
  4. A Tale of Two Linkings: Dynamically Gating between Schema Linkingand Structural Linking for Text-to-SQL Parsing
    Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
    CoLING, 2020
    arXiv   Github
  5. Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
    Hanjie Chen, Yangfeng Ji
    EMNLP, 2020
    arXiv   Github
  6. Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
    Hannah Chen, Yangfeng Ji, David Evans
    EMNLP (Findings), 2020
    arXiv   Github
  7. Reevaluating Adversarial Examples in Natural Language
    John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
    EMNLP (Findings), 2020
    arXiv   Github
  8. HittER: Hierarchical Transformers for Knowledge Graph Embeddings
    Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
    Preprint, 2020
    arXiv  
  9. Charging at Second Culmination? Optimal Freemium Pricing for E-books via Field Experiment and Text Analysis
    Yongjun Li, Hanbing Xue, Yangfeng Ji, Natasha Zhang Foutz
    ISMS Marketing Science Conference, 2020
     
  10. Familiar Story with (Some) Different Actors? Impact of Content and Execution Similarity on Success of Hedonic Product Line Extension
    Jieqiong Zhang, Yangfeng Ji, Weihe Gao, Natasha Zhang Foutz
    ISMS Marketing Science Conference, 2020
     
  11. Pointwise Paraphrase Appraisal is Potentially Problematic
    Hannah Chen, Yangfeng Ji, David Evans
    ACL 2020 Student Research Workshop, 2020
    arXiv  
  12. Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
    Hanjie Chen, Guangtao Zheng, Yangfeng Ji
    ACL, 2020
    arXiv   Github
  13. Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation
    Hanjie Chen, Yangfeng Ji
    NeurIPS 2019 Workshop on Robust AI in Financial Services, 2019
    arXiv  
  14. An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
    Wanyu Du, Yangfeng Ji
    EMNLP, 2019
    arXiv   Github


This page only contains the publications from the UVa ILP lab. For Yangfeng Ji’s publications before 2019, please refer to his academic webpage.