Zach Wood-Doughty

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Natural Language Processing

Causal Inference

Top Venues

PEOPLES@NAACL-HTL

SocialNLP@NAACL

Publications

Jackson Michaels, Juncheng B. Li, Laura Yao, Lijun Yu, Zach Wood-Doughty, Florian Metze
Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation. ICASSP (2024)
Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang
Segment Anything Model is a Good Teacher for Local Feature Learning. CoRR (2023)
Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
The Proximal ID Algorithm. J. Mach. Learn. Res. 24 (2023)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10 (2022)
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Model Distillation for Faithful Explanations of Medical Code Predictions. BioNLP@ACL (2022)
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Proxy Model Explanations for Time Series RNNs. ICMLA (2021)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR (2021)
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia Lynn Nobles
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Faithful and Plausible Explanations of Medical Code Predictions. CoRR (2021)
Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
The Proximal ID Algorithm. CoRR (2021)
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
Using Noisy Self-Reports to Predict Twitter User Demographics. SocialNLP@NAACL (2021)
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Generating Synthetic Text Data to Evaluate Causal Inference Methods. CoRR (2021)
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. CoRR (2020)
Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
Using Noisy Self-Reports to Predict Twitter User Demographics. CoRR (2020)
Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP (2018)
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Challenges of Using Text Classifiers for Causal Inference. EMNLP (2018)
Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
Challenges of Using Text Classifiers for Causal Inference. CoRR (2018)
Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze
Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL (2018)
Zach Wood-Doughty, Praateek Mahajan, Mark Dredze
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter. PEOPLES@NAACL-HTL (2018)
Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze
How Does Twitter User Behavior Vary Across Demographic Groups? NLP+CSS@ACL (2017)