2020_acl_refine_clwe.tex

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\title{Why Overfitting Isn't Always Bad: \\
Retrofitting Cross-Lingual Word Embeddings to Dictionaries}

\author{Mozhi Zhang\thanks{$^\star$Equal contribution} \\
  \textsc{cs} and \textsc{umiacs} \\
  University of Maryland \\
  \emaillink{mozhi@cs.umd.edu} \\\And
  Yoshinari Fujinuma\footnotemark[1] \\
  Computer Science \\
  University of Colorado \\
  \emaillink{fujinumay@gmail.com} \\\AND
  Michael J. Paul \\
  Information Science \\
  University of Colorado \\
  \emaillink{mpaul@colorado.edu} \\\And
  Jordan Boyd-Graber \\
  \abr{umd} \textsc{cs}, iSchool, \textsc{umiacs}, and \textsc{lsc}  \\
  and Google Research Z\"urich \\
  \emaillink{jbg@boydgraber.org} \\}

\date{}

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\latexfile{10-intro}
\latexfile{20-clwe}
\latexfile{30-retrofit}
\latexfile{40-experiment}
\latexfile{50-related_work}
\latexfile{60-conclusion}

\section*{Acknowledgement}

This research is supported by NSF grant IIS-1564275 and by ODNI, IARPA, via the
BETTER Program contract \#2019-19051600005.
The views and conclusions contained herein are those of the authors and should
not be interpreted as necessarily representing the official policies, either
expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S.
Government is authorized to reproduce and distribute reprints for governmental
purposes notwithstanding any copyright annotation therein.

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