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Zach Wood-Doughty
Zach Wood-Doughty
E-mail confirmado em northwestern.edu - Página inicial
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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
532020
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
432018
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
282017
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
262018
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
232021
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
222017
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
182018
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
142021
Using Noisy Self-Reports to Predict Twitter User Demographics
Z Wood-Doughty, P Xu, X Liu, M Dredze
SocialNLP 2021, 123, 2020
122020
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
82018
Generating Synthetic Text Data to Evaluate Causal Inference Methods
Z Wood-Doughty, I Shpitser, M Dredze
arXiv preprint arXiv:2102.05638, 2021
52021
The Proximal ID Algorithm
I Shpitser, Z Wood-Doughty, EJT Tchetgen
arXiv preprint arXiv:2108.06818, 2021
42021
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
2*2022
Sensitivity Analyses for Incorporating Machine Learning Predictions into Causal Estimates
Z Wood-Doughty, I Shpitser, M Dredze
12020
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
2021
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, 2021
2021
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
BALANCING THE ASSUMPTIONS OF CAUSAL INFERENCE AND NATURAL LANGUAGE PROCESSING
ZD Wood-Doughty
Johns Hopkins University, 2021
2021
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