research
∙
07/27/2023
RCT Rejection Sampling for Causal Estimation Evaluation
Confounding is a significant obstacle to unbiased estimation of causal e...
share
research
∙
12/19/2022
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications
Scholarly text is often laden with jargon, or specialized language that ...
research
∙
09/15/2021
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects
Using observed language to understand interpersonal interactions is impo...
research
∙
09/02/2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
A fundamental goal of scientific research is to learn about causal relat...
research
∙
05/27/2021
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence
Automated event extraction in social science applications often requires...
research
∙
10/09/2020
Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty
Methods and applications are inextricably linked in science, and in part...
research
∙
05/01/2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Many applications of computational social science aim to infer causal co...
research
∙
06/07/2019
Modeling financial analysts' decision making via the pragmatics and semantics of earnings calls
Every fiscal quarter, companies hold earnings calls in which company exe...
research
∙
04/17/2018
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Dependency parsing research, which has made significant gains in recent ...
research
∙
07/22/2017