| 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 | 4740 | 2016 |
| 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 | 562 | 2013 |
| Sentiment Analysis in MOOC Discussion Forums: What does it tell us? M Wen, D Yang, C Rose Educational data mining 2014, 2014 | 458 | 2014 |
| 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 | 256 | 2015 |
| Humor Recognition and Humor Anchor Extraction D Yang, A Lavie, C Dyer, E Hovy EMNLP, 2015 | 200 | 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 | 194 | 2020 |
| 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 | 183 | 2015 |
| 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 | 164 | 2020 |
| 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 | 162 | 2014 |
| Racism is a virus: Anti-Asian hate and counterspeech in social media during the COVID-19 crisis B He, C Ziems, S Soni, N Ramakrishnan, D Yang, S Kumar Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 151 | 2021 |
| 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 | 145 | 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 | 142 | 2015 |
| Incorporating word correlation knowledge into topic modeling P Xie, D Yang, E Xing Proceedings of the 2015 conference of the north American chapter of the …, 2015 | 113 | 2015 |
| Forum thread recommendation for massive open online courses D Yang, M Piergallini, I Howley, C Rose Educational Data Mining 2014, 2014 | 109 | 2014 |
| 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 | 89 | 2020 |
| Seekers, providers, welcomers, and storytellers: Modeling social roles in online health communities D Yang, RE Kraut, T Smith, E Mayfield, D Jurafsky Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 81 | 2019 |
| Multi-view sequence-to-sequence models with conversational structure for abstractive dialogue summarization J Chen, D Yang arXiv preprint arXiv:2010.01672, 2020 | 80 | 2020 |
| The channel matters: Self-disclosure, reciprocity and social support in online cancer support groups D Yang, Z Yao, J Seering, R Kraut Proceedings of the 2019 chi conference on human factors in computing systems …, 2019 | 76 | 2019 |
| Question recommendation with constraints for massive open online courses D Yang, D Adamson, CP Rosé Proceedings of the 8th ACM Conference on Recommender systems, 49-56, 2014 | 75 | 2014 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 73 | 2021 |
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
