Zach Wood-Doughty
9 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Academic Marathon (7) π Conference Polyglot (4) π Renaissance Researcher (8) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(24)
π§
Keyword Pioneer
π₯
Unstoppable
(5)
Conferences
NAACL (5)
EMNLP (2)
ACL (1)
JMLR (1)
Top co-authors
Keywords
text classification
(5)
demographic inference
(2)
convolutional neural network
(2)
knowledge distillation
(1)
explainable ai
(1)
sequence classification
(1)
causal effect estimation
(1)
confounding adjustment
(1)
topic model
(1)
recurrent neural network
(1)
unobserved confounder
(1)
latent factor
(1)
evaluation metric
(1)
observational datum
(1)
demographic prediction
(1)
causal identification
(1)
model interpretability
(1)
text datum
(1)
faithful explanation
(1)
social media analysis
(1)
Papers
Reliability of Topic Modeling
NAACL 2025
DoubleLingo: Causal Estimation with Large Language Models
NAACL 2024
The Proximal ID Algorithm
JMLR 2023
Model Distillation for Faithful Explanations of Medical Code Predictions
ACL 2022
Using Noisy Self-Reports to Predict Twitter User Demographics
NAACL 2021
Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter
NAACL 2018
Predicting Twitter User Demographics from Names Alone
NAACL 2018
Convolutions Are All You Need (For Classifying Character Sequences)
EMNLP 2018
Challenges of Using Text Classifiers for Causal Inference
EMNLP 2018