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Grzegorz Chrupała committed a5bc19e

First complete draft of clin slides

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doc/clin-2012/colada-best-mrr-10K.pdf

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doc/clin-2012/delta-h-alpha-mrr.pdf

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doc/clin-2012/slides.tex

   \end{itemize}
 \begin{block}{Reciprocal rank}
   \small
-  \begin{tabular}{cc|c|cc}
-    want & to  & \color{gray} put & them & on   \\
+  \begin{tabular}{c|c|c}
+    want{\textvisiblespace}to  
+    & \color{gray} put & them{\textvisiblespace}on   \\
     \pause 
-    &     & $y_{123}$                 &      &   \\
+    &     $y_{123}$                      &   \\
   \end{tabular}
   \begin{tabular}{l|l|r}
     $y_{123}$ 
  \end{frame}
 
  \begin{frame}
-   \frametitle{Interpretation}
+   \frametitle{CoLaDA discussion}
    \begin{itemize}
-   \item Word recognition for $K \in \{200, 800\}$ similar (or better)
+   \item Word prediction for $K \in \{200, 800\}$ similar (or better)
      than $\Delta$H
    \item Multiple passes help a bit
    \item Best parameters
      \item 1 pass: $\sum_1^K \alpha = 0.1$, $\beta = 0.01$
      \item 20 passes: $\sum_1^K \alpha = 10$, $\beta = 0.1$
      \end{itemize}
+   \item Clusters don't always ``look'' as coherent as with batch LDA
+   \end{itemize}
+ \end{frame}
+
+ \begin{frame}
+   \frametitle{Future}
+   \begin{itemize}
+   \item Nonparametric version of CoLaDA
+     \begin{itemize}
+     \item  Adaptive K
+     \end{itemize}
+   \item Other tasks, including large-scale NLP
+     \begin{itemize}
+     \item Speed up (especially $\Delta$H)
+     \end{itemize}
    \end{itemize}
  \end{frame}
 
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