Improve wording and readability for methods

slides/methods.tex

@@ -5,7 +5,7 @@
 	\begin{itemize}
 		\item  For the ranking of arguments, we measured the semantic similarity
 		      between premise and conclusion
-		\item Here each word of the argument in embedded in a vector space and then the
+		\item Here each word of the argument in embedded in a vector space and the
 		      average of the vectors of the argument is calculated
 		\item The similarity of a premise and a conclusion is the calculated by the
 		      angle between them
@@ -26,7 +26,7 @@ contextualized word representations,”}
 	\begin{itemize}
 		\item Another approach to rank the argument is to measure how positive the tone
 		      of the premises is
-		\item For this, we use a sentiment neural network based on FastText\footnote{A. Joulin, E. Grave, P. Bojanowski, and T. Mikolov, “Bag of tricks for efficient text classification,”}, which was
+		\item For this, we used a sentiment neural network based on FastText\footnote{A. Joulin, E. Grave, P. Bojanowski, and T. Mikolov, “Bag of tricks for efficient text classification,”}, which was
 		      trained on film ratings of IMDb
 	\end{itemize}
 \end{frame}
\ No newline at end of file