Commit c3bf1db5 authored by Jan Lukas Steimann's avatar Jan Lukas Steimann
Browse files

Improve wording and readability for methods

parent e2890c64
......@@ -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
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