Reid Pryzant
Reid Pryzant
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Cited by
Cited by
Effective domain mixing for neural machine translation
D Britz, Q Le, R Pryzant
Proceedings of the Second Conference on Machine Translation, 118-126, 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
JESC: Japanese-English Subtitle Corpus
R Pryzant, Y Chung, D Jurafsky, D Britz
11th edition of the Language Resources and Evaluation Conference (LREC), 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
Predicting Sales from the Language of Product Descriptions
R Pryzant, Y Chung, D Jurafsky
Special Interest Group on Information Retrieval (SIGIR) eCommerce Workshop, 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
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
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
Causal Effects of Linguistic Properties
R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar
North American Association for Computational Linguistics (NAACL), 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
Automatic Rule Induction for Efficient Semi-Supervised Learning
R Pryzant, Z Yang, Y Xu, C Zhu, M Zeng
arXiv preprint arXiv:2205.09067, 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
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
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