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Argument Relevance Presentation
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Marc Feger
Argument Relevance Presentation
Commits
e2890c64
Commit
e2890c64
authored
4 years ago
by
Jan Lukas Steimann
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Improve wording and readability and merge two frames
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c5b41447
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slides/dataset.tex
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e2890c64
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@@ -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 reasona
l
b premises
\item
must be based on reasonab
le
premises
\item
must allow a logic interference to be drawn
\end{itemize}
\end{itemize}
...
...
@@ -79,9 +74,9 @@
\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
\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
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