| Hierarchical attention networks for document classification Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 5687 | 2016 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 720 | 2022 |
| Turn on, tune in, drop out: Anticipating student dropouts in massive open online courses D Yang, T Sinha, D Adamson, CP Rosé Proceedings of the 2013 NIPS Data-driven education workshop 11, 14, 2013 | 608 | 2013 |
| Sentiment Analysis in MOOC Discussion Forums: What does it tell us? M Wen, D Yang, C Rose Educational data mining 2014, 2014 | 500 | 2014 |
| Is chatgpt a general-purpose natural language processing task solver? C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga, D Yang arXiv preprint arXiv:2302.06476, 2023 | 446 | 2023 |
| That’s so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using# petpeeve tweets WY Wang, D Yang Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 367 | 2015 |
| Mixtext: Linguistically-informed interpolation of hidden space for semi-supervised text classification J Chen, Z Yang, D Yang arXiv preprint arXiv:2004.12239, 2020 | 333 | 2020 |
| ToTTo: A controlled table-to-text generation dataset AP Parikh, X Wang, S Gehrmann, M Faruqui, B Dhingra, D Yang, D Das arXiv preprint arXiv:2004.14373, 2020 | 302 | 2020 |
| Humor Recognition and Humor Anchor Extraction D Yang, A Lavie, C Dyer, E Hovy EMNLP, 2015 | 237 | 2015 |
| Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. X Wang, D Yang, M Wen, K Koedinger, CP Rosé International Educational Data Mining Society, 2015 | 208 | 2015 |
| Causal inference in natural language processing: Estimation, prediction, interpretation and beyond A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ... Transactions of the Association for Computational Linguistics 10, 1138-1158, 2022 | 174 | 2022 |
| Social factors that contribute to attrition in MOOCs CP Rosé, R Carlson, D Yang, M Wen, L Resnick, P Goldman, J Sherer Proceedings of the first ACM conference on Learning@ scale conference, 197-198, 2014 | 173 | 2014 |
| Can large language models transform computational social science? C Ziems, W Held, O Shaikh, J Chen, Z Zhang, D Yang Computational Linguistics, 1-55, 2024 | 171 | 2024 |
| Linguistic reflections of student engagement in massive open online courses M Wen, D Yang, C Rosé Proceedings of the international AAAI conference on web and social media 8 …, 2014 | 158 | 2014 |
| Exploring the effect of confusion in discussion forums of massive open online courses D Yang, M Wen, I Howley, R Kraut, C Rose Proceedings of the second (2015) ACM conference on learning@ scale, 121-130, 2015 | 157 | 2015 |
| Automatically neutralizing subjective bias in text R Pryzant, RD Martinez, N Dass, S Kurohashi, D Jurafsky, D Yang Proceedings of the aaai conference on artificial intelligence 34 (01), 480-489, 2020 | 146 | 2020 |
| Latent hatred: A benchmark for understanding implicit hate speech M ElSherief, C Ziems, D Muchlinski, V Anupindi, J Seybolt, ... arXiv preprint arXiv:2109.05322, 2021 | 142 | 2021 |
| The Importance of Modeling Social Factors of Language: Theory and Practice D Hovy, D Yang NAACL, 2021 | 133 | 2021 |
| Multi-view sequence-to-sequence models with conversational structure for abstractive dialogue summarization J Chen, D Yang arXiv preprint arXiv:2010.01672, 2020 | 132 | 2020 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 131 | 2021 |
Jiaao ChenGeorgia Institute of Technologygatech.edu의 이메일 확인됨
