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Marc Feger
Argument Relevance Presentation
Commits
525de225
Commit
525de225
authored
Aug 16, 2020
by
Marc Feger
Browse files
Add PageRank and WordNet to slides/methods.tex
parent
2c2c7428
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#44675
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in 2 minutes and 50 seconds
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bilder/ExampleGraph.png
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525de225
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references.bib
View file @
525de225
...
...
@@ -7,4 +7,42 @@
pages
=
{1117--1127}
,
location
=
{Valencia, Spain}
,
url
=
{http://aclweb.org/anthology/E17-1105}
}
@techreport
{
PageRank1999
,
number
=
{1999-66}
,
month
=
{November}
,
author
=
{Lawrence Page and Sergey Brin and Rajeev Motwani and Terry Winograd}
,
note
=
{Previous number = SIDL-WP-1999-0120}
,
title
=
{The PageRank Citation Ranking: Bringing Order to the Web.}
,
type
=
{Technical Report}
,
publisher
=
{Stanford InfoLab}
,
year
=
{1999}
,
institution
=
{Stanford InfoLab}
,
url
=
{http://ilpubs.stanford.edu:8090/422/}
}
@inproceedings
{
Mihalcea2006similarity
,
author
=
{Mihalcea, Rada and Corley, Courtney and Strapparava, Carlo}
,
title
=
{Corpus-Based and Knowledge-Based Measures of Text Semantic Similarity}
,
year
=
{2006}
,
isbn
=
{9781577352815}
,
publisher
=
{AAAI Press}
,
booktitle
=
{Proceedings of the 21st National Conference on Artificial Intelligence - Volume 1}
,
pages
=
{775–780}
,
numpages
=
{6}
,
location
=
{Boston, Massachusetts}
,
series
=
{AAAI’06}
}
@misc
{
Wu1994distance
,
author
=
{Wu, Zhibiao and Palmer, Martha}
,
title
=
{Verbs Semantics and Lexical Selection}
,
year
=
{1994}
,
publisher
=
{Association for Computational Linguistics}
,
address
=
{USA}
,
url
=
{https://doi.org/10.3115/981732.981751}
,
doi
=
{10.3115/981732.981751}
,
booktitle
=
{Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics}
,
pages
=
{133–138}
,
numpages
=
{6}
,
location
=
{Las Cruces, New Mexico}
,
series
=
{ACL ’94}
}
\ No newline at end of file
slides/methods.tex
View file @
525de225
\section
{
Methods
}
\subsection
{
Baseline Methods
}
\begin{frame}
\frametitle
{
PageRank
}
\begin{columns}
\column
{
0.6
\textwidth
}
\begin{itemize}
\item
PageRank by
\cite
{
PageRank1999
}
was originally used to evaluate relevant websites via their links
\item
Websites can be replaced by arguments
\item
Linking results due to the reuse of conclusions and premises
\item
In this work it was used:
\begin{itemize}
\item
Custom-made PageRank
\item
NetworkX PageRank
\item
NetworkX-Scipy PageRank
\end{itemize}
\end{itemize}
\begin{block}
{
Custom-made PageRank
}
\begin{equation*}
p
_
t(c
_
i) =
\left\{
\begin{array}
{
lr
}
(1 -
\alpha
)
\frac
{
1
}{
|D|
}
+
\alpha
\sum
_{
j
}{
\frac
{
p
_{
t-1
}
(c
_
j)
}{
|P'
_
j|
}}
&
: t > 0
\\
\frac
{
1
}{
|D|
}
&
: t = 0
\end{array}
\right
.
\end{equation*}
\end{block}
\column
{
0.4
\textwidth
}
\includegraphics
[scale=0.25]
{
bilder/ExampleGraph.png
}
\end{columns}
\end{frame}
\begin{frame}
\frametitle
{
WordNet
}
\begin{itemize}
\item
As knowledge based method
$
Sim
(
T
_
1
, T
_
2
)
$
of
\cite
{
Mihalcea2006similarity
}
was used
\item
$
Sim
(
T
_
1
, T
_
2
)
$
determines the semantic similarity of
$
T
_
1
,T
_
2
$
by mutually picking up highly similar concepts
\item
The concepts were determined via WordNet
\item
For
$
maxSim
$
the
$
CoSim
$
of
\cite
{
Wu1994distance
}
was used
\end{itemize}
\begin{block}
{$
Sim
(
T
_
1
, T
_
2
)
$}
\begin{equation*}
\frac
{
1
}{
2
}
(
\frac
{
\sum
_{
w
\in
{
T
_
1
}}{
maxSim(w, T
_
2)
\cdot
idf(w)
}}{
\sum
_{
w
\in
{
T
_
1
}}{
idf(w)
}}
+
\frac
{
\sum
_{
w
\in
{
T
_
2
}}{
maxSim(w, T
_
1)
\cdot
idf(w)
}}{
\sum
_{
w
\in
{
T
_
2
}}{
idf(w)
}}
)
\end{equation*}
\end{block}
\begin{itemize}
\item
Analogously, the average conceptual similarity between T1 and T2 was used as a weakened variant
\end{itemize}
\end{frame}
\begin{frame}
\frametitle
{
Similarity
}
\begin{itemize}
...
...
@@ -17,8 +63,6 @@ contextualized word representations,”}
\end{itemize}
\end{itemize}
\end{frame}
\begin{frame}
\frametitle
{
Sentiment
}
\begin{itemize}
...
...
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