Web: http://arxiv.org/abs/2106.08043

May 5, 2022, 1:11 a.m. | Arun S. Maiya

cs.CL updates on arXiv.org arxiv.org

Causal inference is the process of estimating the effect or impact of a
treatment on an outcome with other covariates as potential confounders (and
mediators) that may need to be controlled. The vast majority of existing
methods and systems for causal inference assume that all variables under
consideration are categorical or numerical (e.g., gender, price, enrollment).
In this paper, we present CausalNLP, a toolkit for inferring causality with
observational data that includes text in addition to traditional numerical and
categorical …

arxiv causal inference inference text toolkit

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