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 | 181 | 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 | 96 | 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 | 76 | 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 | 55 | 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 | 51 | 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 | 33 | 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 | 30 | 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 | 24 | 2018 |
Using Noisy Self-Reports to Predict Twitter User Demographics Z Wood-Doughty, P Xu, X Liu, M Dredze SocialNLP 2021, 123, 2020 | 20 | 2020 |
The proximal id algorithm I Shpitser, Z Wood-Doughty, EJT Tchetgen Journal of Machine Learning Research 24 (188), 1-46, 2023 | 15 | 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 | 12 | 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 | 10* | 2022 |
Generating Synthetic Text Data to Evaluate Causal Inference Methods Z Wood-Doughty, I Shpitser, M Dredze arXiv preprint arXiv:2102.05638, 2021 | 9 | 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 | 9 | 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 | 2 | 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 | 1 | 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 | 1 | 2021 |
Sensitivity Analyses for Incorporating Machine Learning Predictions into Causal Estimates Z Wood-Doughty, I Shpitser, M Dredze | 1 | 2020 |
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 | | 2024 |
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 |