Zach Wood-Doughty
Zach Wood-Doughty
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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
Vaccine-related advertising in the Facebook Ad Archive
AM Jamison, DA Broniatowski, M Dredze, Z Wood-Doughty, DA Khan, ...
Vaccine 38 (3), 512-520, 2020
Challenges of Using Text Classifiers for Causal Inference
Z Wood-Doughty, I Shpitser, M Dredze
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement
A Mueller, Z Wood-Doughty, S Amir, M Dredze, AL Nobles
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-28, 2021
Predicting Twitter User Demographics from Names Alone
Z Wood-Doughty, N Andrews, R Marvin, M Dredze
Proceedings of the Second Workshop on Computational Modeling of People’s …, 2018
How Does Twitter User Behavior Vary Across Demographic Groups?
Z Wood-Doughty, M Smith, D Broniatowski, M Dredze
Proceedings of the Second Workshop on NLP and Computational Social Science …, 2017
Vaccine opponents' use of Twitter during the 2016 US presidential election: Implications for practice and policy.
M Dredze, Z Wood-Doughty, SC Quinn, DA Broniatowski
Vaccine 35 (36), 4670-4672, 2017
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter
Z Wood-Doughty, P Mahajan, M Dredze
Proceedings of the Second Workshop on Computational Modeling of People’s …, 2018
Using Noisy Self-Reports to Predict Twitter User Demographics
Z Wood-Doughty, P Xu, X Liu, M Dredze
SocialNLP 2021, 123, 2020
The proximal id algorithm
I Shpitser, Z Wood-Doughty, EJT Tchetgen
Journal of Machine Learning Research 24 (188), 1-46, 2023
Leveraging machine learning to predict 30-day hospital readmission after cardiac surgery
E Sherman, D Alejo, Z Wood-Doughty, M Sussman, S Schena, CS Ong, ...
The Annals of Thoracic Surgery 114 (6), 2173-2179, 2022
Model Distillation for Faithful Explanations of Medical Code Predictions
Z Wood-Doughty, I Cachola, M Dredze
Proceedings of the 21st Workshop on Biomedical Language Processing, 412-425, 2022
Generating Synthetic Text Data to Evaluate Causal Inference Methods
Z Wood-Doughty, I Shpitser, M Dredze
arXiv preprint arXiv:2102.05638, 2021
Convolutions Are All You Need (For Classifying Character Sequences)
Z Wood-Doughty, N Andrews, M Dredze
Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018
Segment Anything Model is a Good Teacher for Local Feature Learning
J Wu, R Xu, Z Wood-Doughty, C Wang
arXiv preprint arXiv:2309.16992, 2023
Audio-Journey: Efficient Visual+ LLM-aided Audio Encodec Diffusion
JB Li, JS Michaels, L Yao, L Yu, Z Wood-Doughty, F Metze
Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023
Proxy Model Explanations for Time Series RNNs
Z Wood-Doughty, I Cachola, M Dredze
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
Sensitivity Analyses for Incorporating Machine Learning Predictions into Causal Estimates
Z Wood-Doughty, I Shpitser, M Dredze
DoubleLingo: Causal Estimation with Large Language Models
M Veljanovski, Z Wood-Doughty
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation
J Michaels, JB Li, L Yao, L Yu, Z Wood-Doughty, F Metze
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
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