Improve wording and readability and merge two frames

slides/dataset.tex

@@ -9,16 +9,11 @@
 			      Relevance}
 		\item In this dataset Wachsmuth et al. constructed a ground-truth argument graph
 		      as well as benchmark for argument ranking from this argument graph
-	\end{itemize}
-\end{frame}
-
-\begin{frame}
-	\frametitle{Corpus}
-	\begin{itemize}
 		\item The data are originally collected from the Argument Web and stored in an
 		      argument graph
 		\item The Argument Web was the largest existing argument database with a
 		      structured argument corpora at that time
+
 	\end{itemize}
 \end{frame}
 
@@ -49,13 +44,13 @@
 		\item To create the benchmark dataset, Wachsmuth et al. only kept arguments
 		      from the graph that fulfill their requirements
 		      \begin{itemize}
-			      \item If a conclusion was part in more than one argument, it was kept
+			      \item A conclusion must be part in more than one argument
 			      \item Furhtermore, Wachsmuth et al. removed all nodes that do not contain a
 			            real claim
 			      \item Additionally, an argument:
 			            \begin{itemize}
 				            \item has to be a valid-counter argument
-				            \item must be based on reasonalb premises
+				            \item must be based on reasonable premises
 				            \item must  allow a logic interference to be drawn
 			            \end{itemize}
 		      \end{itemize}
@@ -79,15 +74,15 @@
 \begin{frame}
 	\frametitle{Evaluation Method}
 	\begin{itemize}
-\item To evaluate the agreement between the experts and to ensure comparability
-were than used Kendall's $\tau$
-\item Kendall $\tau$ is correlation coefficient that indicates the agreement
-between two quantities with respect to a property
-\begin{itemize}
-\item In this case, this means the agreement between two experts with respect to
-an argument
-\item -1 signifies a complete disagreement and +1 a complete agreement
-\end{itemize}
-\item The mean over all experts for the evaluation of the benchmark is 0.36
+\item Wachsmuth et al. used Kendall's $\tau$ to evaluate the agreement between
+the experts and to ensure comparability
+		\item Kendall $\tau$ is a correlation coefficient that indicates the agreement
+		      between two quantities with respect to a property
+		      \begin{itemize}
+			      \item In this case, this means the agreement between two experts with respect to
+			            an argument
+			      \item -1 signifies a complete disagreement and +1 a complete agreement
+		      \end{itemize}
+		\item The mean over all experts for the evaluation of the benchmark is 0.36
 	\end{itemize}
 \end{frame}
\ No newline at end of file