activity
20172026
most citedCausal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

15 citations · 26 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

S M Rafiuddin, Atriya Sen

Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…

cs.CL2021★ 15 cited

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

Amir Feder, Katherine A. Keith, Emaad Manzoor +10

A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same…

cs.CL2020

Causal Effects of Linguistic Properties

Reid Pryzant, Dallas Card, Dan Jurafsky +2

We consider the problem of using observational data to estimate the causal effects of linguistic properties. For example, does writing a complaint politely lead to a faster respons…

cs.CL2019★ 11 cited

Automatically Neutralizing Subjective Bias in Text

Reid Pryzant, Richard Diehl Martinez, Nathan Dass +3

Texts like news, encyclopedias, and some social media strive for objectivity. Yet bias in the form of inappropriate subjectivity - introducing attitudes via framing, presupposing t…

cs.CL2017

JESC: Japanese-English Subtitle Corpus

Reid Pryzant, Yongjoo Chung, Dan Jurafsky +1

In this paper we describe the Japanese-English Subtitle Corpus (JESC). JESC is a large Japanese-English parallel corpus covering the underrepresented domain of conversational dialo…