From c3bf1db57a44797f6dba4cc18eeee2b63d48d9e7 Mon Sep 17 00:00:00 2001
From: jaste110 <jan.steimann@hhu.de>
Date: Fri, 14 Aug 2020 10:58:42 +0200
Subject: [PATCH] Improve wording and readability for methods
---
slides/methods.tex | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/slides/methods.tex b/slides/methods.tex
index cbbcf37..3457ccd 100644
--- a/slides/methods.tex
+++ b/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
--
GitLab