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Marc Feger
Argument Relevance Presentation
Commits
a7263e9d
Commit
a7263e9d
authored
Sep 04, 2020
by
Marc Feger
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Refactor Methods
parent
fd4fa380
Pipeline
#45906
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in 19 seconds
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slides/methods.tex
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a7263e9d
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@@ -54,9 +54,9 @@
\begin{columns}
\column
{
0.6
\textwidth
}
\begin{itemize}
\item
As another approach we used to measure the p
ositivity of
the argument
\item
We used a neural network based on FastText by
\cite
{
Armand:2017FastText
}
\item
The n
eural network
w
as
trained to indicate the sentiment with IMDb film ratings
\item
P
ositivity of
premise
\item
Captures the constructivity
\item
N
eur
on
al network
b
as
ed on FastText
\end{itemize}
\column
{
0.4
\textwidth
}
\includegraphics
[scale=0.1]
{
bilder/pngfuel-friends.png
}
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