Model Distillation for Faithful Explanations of Medical Code Predictions ACL BioNLP

Zach Wood-Doughty | Isabel Cachola | Mark Dredze |

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond TACL

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 |

Using Noisy Self-Reports to Predict Twitter User Demographics NAACL SocialNLP

Zach Wood-Doughty | Paiheng Xu | Xiao Liu | Mark Dredze |

Proceedings of the First Workshop on Causal Inference and NLP CINLP EMNLP

Amir Feder | Katherine Keith | Emaad Manzoor | Reid Pryzant | Dhanya Sridhar | Zach Wood-Doughty | Jacob Eisenstein | Justin Grimmer | Roi Reichart | Molly Roberts | Uri Shalit | Brandon Stewart | Victor Veitch | Diyi Yang |

Challenges of Using Text Classifiers for Causal Inference EMNLP

Zach Wood-Doughty | Ilya Shpitser | Mark Dredze |

Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter NAACL PEOPLES WS

Zach Wood-Doughty | Praateek Mahajan | Mark Dredze |

Predicting Twitter User Demographics from Names Alone NAACL PEOPLES WS

Zach Wood-Doughty | Nicholas Andrews | Rebecca Marvin | Mark Dredze |

Convolutions Are All You Need (For Classifying Character Sequences) EMNLP WS

Zach Wood-Doughty | Nicholas Andrews | Mark Dredze |

How Does Twitter User Behavior Vary Across Demographic Groups? NLP+CSS WS

Zach Wood-Doughty | Michael Smith | David Broniatowski | Mark Dredze |