| Effective domain mixing for neural machine translation D Britz, Q Le, R Pryzant Proceedings of the Second Conference on Machine Translation, 118-126, 2017 | 85 | 2017 |
| Automatically Neutralizing Subjective Bias in Text R Pryzant, RD Martinez, N Dass, S Kurohashi, D Jurafsky, D Yang Proceedings of the Association for the Advancement of Artificial …, 2019 | 76 | 2019 |
| JESC: Japanese-English Subtitle Corpus R Pryzant, Y Chung, D Jurafsky, D Britz 11th edition of the Language Resources and Evaluation Conference (LREC), 2017 | 45 | 2017 |
| Deconfounded lexicon induction for interpretable social science R Pryzant, K Shen, D Jurafsky, S Wager Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 41 | 2018 |
| Predicting Sales from the Language of Product Descriptions R Pryzant, Y Chung, D Jurafsky Special Interest Group on Information Retrieval (SIGIR) eCommerce Workshop, 2017 | 39 | 2017 |
| Causal inference in natural language processing: Estimation, prediction, interpretation and beyond A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ... arXiv preprint arXiv:2109.00725, 2021 | 36 | 2021 |
| Monitoring Ethiopian wheat fungus with satellite imagery and deep feature learning R Pryzant, S Ermon, D Lobell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 24 | 2017 |
| Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style R Pryzant, K Sone, S Basu Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2018 | 19 | 2018 |
| Causal Effects of Linguistic Properties R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar North American Association for Computational Linguistics (NAACL), 2021 | 18 | 2021 |
| The Prochlorococcus carbon dioxide-concentrating mechanism: evidence of carboxysome-associated heterogeneity CS Ting, KH Dusenbury, RA Pryzant, KW Higgins, CJ Pang, CE Black, ... Photosynthesis research 123 (1), 45-60, 2015 | 10 | 2015 |
| Automatic Rule Induction for Efficient Semi-Supervised Learning R Pryzant, Z Yang, Y Xu, C Zhu, M Zeng arXiv preprint arXiv:2205.09067, 2022 | 1 | 2022 |
| i-Code: An Integrative and Composable Multimodal Learning Framework Z Yang, Y Fang, C Zhu, R Pryzant, D Chen, Y Shi, Y Xu, Y Qian, M Gao, ... arXiv preprint arXiv:2205.01818, 2022 | 1 | 2022 |
| Proceedings of the First Workshop on Causal Inference and NLP A Feder, K Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ... Proceedings of the First Workshop on Causal Inference and NLP, 2021 | | 2021 |
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
