| A dataset of peer reviews (peerread): Collection, insights and nlp applications D Kang, W Ammar, B Dalvi, M van Zuylen, S Kohlmeier, E Hovy, ... NAACL 2018, 2018 | 210 | 2018 |
| INSPIRED: Toward Sociable Recommendation Dialog Systems S Anugrah Hayati, D Kang, Q Zhu, W Shi, Z Yu EMNLP 2020, arXiv: 2009.14306, 2020 | 119* | 2020 |
| Recommendation as a communication game: Self-supervised bot-play for goal-oriented dialogue D Kang, A Balakrishnan, P Shah, P Crook, YL Boureau, J Weston EMNLP 2019, 2019 | 114 | 2019 |
| Adventure: Adversarial training for textual entailment with knowledge-guided examples D Kang, T Khot, A Sabharwal, E Hovy ACL 2018, 2018 | 104 | 2018 |
| Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols A Head, K Lo, D Kang, R Fok, S Skjonsberg, DS Weld, MA Hearst Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 88 | 2021 |
| Genaug: Data augmentation for finetuning text generators SY Feng, V Gangal, D Kang, T Mitamura, E Hovy arXiv preprint arXiv:2010.01794, 2020 | 82 | 2020 |
| Read, revise, repeat: A system demonstration for human-in-the-loop iterative text revision W Du, ZM Kim, V Raheja, D Kumar, D Kang arXiv preprint arXiv:2204.03685, 2022 | 55 | 2022 |
| Understanding Iterative Revision from Human-Written Text W Du, V Raheja, D Kumar, ZM Kim, M Lopez, D Kang Annual Meeting of the Association for Computational Linguistics (ACL), 2022 | 51 | 2022 |
| Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization T Jung, D Kang, L Mentch, E Hovy EMNLP 2019, 2019 | 50 | 2019 |
| Zero-shot natural language video localization J Nam, D Ahn, D Kang, SJ Ha, J Choi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 47 | 2021 |
| BENCHMARKING COGNITIVE BIASES IN LARGE LANGUAGE MODELS AS EVALUATORS R Koo, M Lee, V Raheja, JI Park, ZM Kim, D Kang | 41 | 2023 |
| Detecting and Explaining Causes From Text For a Time Series Event D Kang, V Gangal, A Lu, Z Chen, E Hovy EMNLP 2017, 2017 | 38 | 2017 |
| Style is NOT a single variable: Case Studies for Cross-Style Language Understanding D Kang, E Hovy Annual Meeting of the Association for Computational Linguistics (ACL), 2021 | 37* | 2021 |
| A survey of diffusion models in natural language processing H Zou, ZM Kim, D Kang arXiv preprint arXiv:2305.14671, 2023 | 35* | 2023 |
| Everyone’s voice matters: Quantifying annotation disagreement using demographic information R Wan, J Kim, D Kang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14523 …, 2023 | 31 | 2023 |
| CoEdIT: Text editing by task-specific instruction tuning V Raheja, D Kumar, R Koo, D Kang arXiv preprint arXiv:2305.09857, 2023 | 30 | 2023 |
| Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions D Kang, A Head, R Sidhu, K Lo, DS Weld, MA Hearst SDP @EMNLP 2021, 2020 | 29 | 2020 |
| Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica S Anugrah Hayati, D Kang, L Ungar EMNLP 2021, arXiv: 2109.02738, 2021 | 27* | 2021 |
| (male, bachelor) and (female, Ph. D) have different connotations: Parallelly annotated stylistic language dataset with multiple personas D Kang, V Gangal, E Hovy arXiv preprint arXiv:1909.00098, 2019 | 22* | 2019 |
| Actionable email intent modeling with reparametrized rnns CC Lin, D Kang, M Gamon, P Pantel AAAI 2018, 2018 | 21 | 2018 |
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
