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2021_emnlp_qa_fairness.tex
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2021_emnlp_qa_fairness.tex
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\pdfoutput=1
\maxdeadcycles=200
\documentclass[11pt]{article}
\usepackage[hyperref]{style/emnlp2021}
\usepackage{times}
\usepackage{soul}
\usepackage{latexsym}
\usepackage[T1]{fontenc}
\usepackage[utf8]{inputenc}
\usepackage{microtype}
\newif\ifcomment\commentfalse
\newif\ifdraft\draftfalse
\input{style/preamble}
\usepackage{tikz}
\usepackage{collcell}
\newcommand*{\MinNumber}{0}\newcommand*{\MidNumber}{100} \newcommand*{\MaxNumber}{200}
\newcommand{\ApplyGradient}[1]{ \ifdim #1 pt > \MidNumber pt
\pgfmathsetmacro{\PercentColor}{max(min(100.0*(#1 - \MidNumber)/(\MaxNumber-\MidNumber),100.0),0.00)} \colorbox{red!\PercentColor!UMDYellow}{#1}
\else
\pgfmathsetmacro{\PercentColor}{max(min(100.0*(\MidNumber - #1)/(\MidNumber-\MinNumber),100.0),0.00)} \colorbox{white!\PercentColor!GoogleYellow}{#1}
\fi
}
\newcommand{\doubcol}[1]{\multicolumn{2}{c}{#1}}
\newcommand{\doubbcol}[1]{\multicolumn{2}{c}{#1}}
\newcommand{\cbcol}[1]{\multicolumn{1}{c}{\textbf{#1}}}
\newcommand{\cicol}[1]{\multicolumn{1}{c}{\textit{#1}}}
\newcolumntype{R}{>{\collectcell\ApplyGradient}c<{\endcollectcell}}
\usepackage{microtype}
\title{Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy}
\newcommand{\latexfile}[1]{\input{2021_emnlp_qa_fairness/sections/#1}}
\newcommand{\tablefile}[1]{\input{2021_emnlp_qa_fairness/tables/#1}}
\newcommand{\figfile}[1]{2021_emnlp_qa_fairness/figures/#1}
\newcommand{\autofig}[1]{2021_emnlp_qa_fairness/auto_fig/#1}
\newcommand{\entity}[1]{\ul{#1}}
\newcommand{\answer}[1]{\textsl{#1}}
\newcommand{\property}[1]{\textsf{#1}}
\newcommand{\demovalue}[1]{\textit{#1}}
\newcommand{\lrfeature}[1]{\begin{small}\textbf{\texttt{#1}}\end{small}}
\newcommand{\feature}[1]{\begin{small}{\texttt{#1}}\end{small}}
\newcommand{\wikidata}[0]{Wikidata}
\newcommand{\freebase}[0]{Freebase}
\newcommand{\wikipedia}[0]{Wikipedia}
\newcommand{\democol}{characteristic}
\newcommand{\demorow}{value}
\newcommand{\demosubset}{subset}
\newcommand{\gender}{\property{gender}}
\newcommand{\country}{\property{country}}
\newcommand{\occupation}{\property{occupation}}
\newcommand{\film}{\demovalue{Film/TV}}
\newcommand{\music}{\demovalue{Music}}
\newcommand{\sports}{\demovalue{Sports}}
\newcommand{\male}{\demovalue{Male}}
\newcommand{\female}{\demovalue{Female}}
\newcommand{\lasso}[0]{{\abr{lasso}}}
\definecolor{lightgrey}{rgb}{.8,.8,.8}
\author{Maharshi Gor\thanks{\, \, Work completed while at Google Research} \\ \abr{CS} \\ University of Maryland \\ \emaillink{[email protected]}
\And Kellie Webster \\ Google Research, New York \\ \emaillink{[email protected]}
\And Jordan Boyd-Graber$^{*}$ \\ CS, UMIACS, iSchool, LCS \\ University of Maryland \\ \emaillink{[email protected]}}
\begin{document}
\maketitle
\begin{abstract}
\latexfile{00-abstract}
\end{abstract}
\latexfile{10-introduction}
\latexfile{20-entities}
\latexfile{fig-accuracy}
\latexfile{30-accuracy}
\latexfile{40-related}
\latexfile{60-conclusion}
\latexfile{80-acknowledgements}
\latexfile{70-ethics}
\bibliography{bib/journal-full,bib/jbg,bib/maharshi}
\bibliographystyle{style/acl_natbib}
\clearpage
\appendix\section*{Appendix}
\latexfile{8a-country-collapse}
\latexfile{8b-profession-collapse}
\clearpage
\latexfile{9a-logistic-regression-full}
\latexfile{9b1-nq-multi-answers}
\latexfile{9b2-triviaqa-multi-answers}
\clearpage
\end{document}