2020_aaai_caco.tex

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/Title (Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification)
/Author (Mozhi Zhang, Yoshinari Fujinuma, Jordan Boyd-Graber)
}
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\title{Exploiting Cross-Lingual Subword Similarities in Low-Resource Document
Classification}

\author{Mozhi Zhang \\
  \textsc{cs} and \textsc{umiacs} \\
  University of Maryland \\
  College Park, MD, USA \\
  mozhi@cs.umd.edu
  \And
  Yoshinari Fujinuma \\
  Computer Science \\
  University of Colorado \\
  Boulder, CO, USA \\
  fujinumay@gmail.com
  \And
  Jordan Boyd-Graber\thanks{Now at Google Research Z\"urich} \\
  \textsc{cs}, iSchool, \textsc{lsc}, and \textsc{umiacs}\\
  University of Maryland \\
  College Park, MD, USA \\
  jbg@umiacs.umd.edu \\}

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\maketitle

\latexfile{00-abstract}
\latexfile{10-intro}
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\latexfile{30-experiments}
\latexfile{40-related}
\latexfile{50-conclusion}

\section*{Acknowledgement}
We thank the members of UMD CLIP and the anonymous reviewers for their
feedback.
Zhang and Boyd-Graber are supported by DARPA award HR0011-15-C-0113 under
subcontract to Raytheon BBN Technologies.
Fujinuma and Boyd-Graber are supported by NSF grant IIS-1564275.
Any opinions, findings, conclusions, or recommendations expressed here are
those of the authors and do not necessarily reflect the view of the sponsors.

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