-% \begin{frame}
-% \frametitle{Wikipedia Viewership and Flu Prediction: Results}
+\begin{frame}
+ \centertext{6em}{Automation in Wikipedia}
+
+ \note{Tilman
+
+ Starting to see more practical applications of AI methods to editing.
+
+ Bots have been writing Wikipedia articles ever since back in 2002,
+ User:Rambot covered US municipalities from US census data.
+
+ Picked these two related papers for their somewhat unusual approach}
+\end{frame}
+
+
+\begin{frame}
+ \frametitle{Automation in Wikipedia}
+
+ \larger \larger
+ Banerjee et al., \e{Playscript Classification and Automatic Wikipedia
+ Play Articles Generation}.
+ 2014 22nd International Conference on Pattern Recognition (ICPR).
+ pp. 3630–3635.
+ \href{http://dx.doi.org/10.1109/ICPR.2014.624}
+ {DOI:10.1109/ICPR.2014.624}
+ \href{http://www.cse.unt.edu/~ccaragea/papers/icpr14.pdf}{Author's copy}
+
+\end{frame}
+
+
+\begin{frame}
+
+\frametitle{Automation in Wikipedia: Bot-written theatre play articles}
+
+ \begin{itemize}
+ \larger \larger \larger
+ \item Bot searches for playscripts and related documents on the web
+ \bigskip
+ \item Extract key information from them, e.g.
+ \begin{itemize} \larger
+ \item The play's main characters
+ \item Relevant sentences from online synopses of the play
+ \item Mentions in Google Books and Google News (as evidence that
+ the play satisfies Wikipedia's notability criteria)
+
+ \end{itemize}
+
+ \item Some heuristics to exclude non-encyclopedic sentences, e.g.
+ first person statements
+
+ \end{itemize}
+
+ \note{Tilman
+
+ NB: Most article creation bots work from well-defined databases
+ (e.g. species, census data, geographical databases).
+
+ This bots finds article topics and online references itself,
+ using an elaborate classifier algorithm to distinguish scripts
+ from non-scripts.}
+\end{frame}
+
+\begin{frame}
+\frametitle{Automation in Wikipedia: Bot-written theatre play articles}
-% \centering
-% \includegraphics[width=\textwidth]{figures/flu.png}
+ \includegraphics[width=0.3\textwidth]{figures/Fourteen_submission.png}
+ \begin{itemize}
+ \larger \larger \larger
+ \item 15 articles submitted at Articles for Creation. Two accepted
+ by Wikipedia editors. One of them without major changes.
+
+
+ \end{itemize}
-% \note{\begin{itemize}
-% \larger \larger
+ \note{Tilman
+
+ Editors were unaware the articles had been automatically generated.
+
+
+ Related paper by some of the same authors:
+
+ Banerjee et al., \e{WikiKreator: Improving Wikipedia Stubs
+ Automatically}. \href{https://siddbanpsu.github.io/publications/acl2015-banerjee-preprint.pdf}
+ {preprint}, accepted paper at ACL2015
+
+ Elaborate classifier method to find suitable web resources for
+ expanding stubs - but copying sentences wholesale from these into
+ articles landed the bot (User:MightyPepper) in a \href{https://en.wikipedia.org/wiki/Wikipedia:Contributor_copyright_investigations/Archive#2015}{contributor copyright investigation}\ldots
+ }
+\end{frame}
-% \item Wikipedia better than Google at predicting peak flu weeks.
-% \item Wikipedia better at predicting relative influenza rates.
-% \end{itemize}}
-% \end{frame}
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