3 Search Results for "Klaus, Bettina"


Document
Matching Under Preferences: Theory and Practice (Dagstuhl Seminar 21301)

Authors: Haris Aziz, Péter Biró, Tamás Fleiner, and Bettina Klaus

Published in: Dagstuhl Reports, Volume 11, Issue 6 (2021)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 21301 "Matching Under Preferences: Theory and Practice". The seminar featured a mixture of technical scientific talks, survey talks, open problem presentations, working group sessions, five-minute contributions ("rump session"), and a panel discussion. This was the first Dagstuhl seminar that was dedicated to matching under preferences.

Cite as

Haris Aziz, Péter Biró, Tamás Fleiner, and Bettina Klaus. Matching Under Preferences: Theory and Practice (Dagstuhl Seminar 21301). In Dagstuhl Reports, Volume 11, Issue 6, pp. 124-146, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@Article{aziz_et_al:DagRep.11.6.124,
  author =	{Aziz, Haris and Bir\'{o}, P\'{e}ter and Fleiner, Tam\'{a}s and Klaus, Bettina},
  title =	{{Matching Under Preferences: Theory and Practice (Dagstuhl Seminar 21301)}},
  pages =	{124--146},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{11},
  number =	{6},
  editor =	{Aziz, Haris and Bir\'{o}, P\'{e}ter and Fleiner, Tam\'{a}s and Klaus, Bettina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.6.124},
  URN =		{urn:nbn:de:0030-drops-155826},
  doi =		{10.4230/DagRep.11.6.124},
  annote =	{Keywords: market design, matching under preferences, matching with distributional constraints, organ exchange, stable matching}
}
Document
A Review and Cluster Analysis of German Polarity Resources for Sentiment Analysis

Authors: Bettina M. J. Kern, Andreas Baumann, Thomas E. Kolb, Katharina Sekanina, Klaus Hofmann, Tanja Wissik, and Julia Neidhardt

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)


Abstract
The domain of German polarity dictionaries is heterogeneous with many small dictionaries created for different purposes and using different methods. This paper aims to map out the landscape of freely available German polarity dictionaries by clustering them to uncover similarities and shared features. We find that, although most dictionaries seem to agree in their assessment of a word’s sentiment, subsets of them form groups of interrelated dictionaries. These dependencies are in most cases an immediate reflex of how these dictionaries were designed and compiled. As a consequence, we argue that sentiment evaluation should be based on multiple and diverse sentiment resources in order to avoid error propagation and amplification of potential biases.

Cite as

Bettina M. J. Kern, Andreas Baumann, Thomas E. Kolb, Katharina Sekanina, Klaus Hofmann, Tanja Wissik, and Julia Neidhardt. A Review and Cluster Analysis of German Polarity Resources for Sentiment Analysis. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 37:1-37:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{kern_et_al:OASIcs.LDK.2021.37,
  author =	{Kern, Bettina M. J. and Baumann, Andreas and Kolb, Thomas E. and Sekanina, Katharina and Hofmann, Klaus and Wissik, Tanja and Neidhardt, Julia},
  title =	{{A Review and Cluster Analysis of German Polarity Resources for Sentiment Analysis}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{37:1--37:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.37},
  URN =		{urn:nbn:de:0030-drops-145734},
  doi =		{10.4230/OASIcs.LDK.2021.37},
  annote =	{Keywords: cluster analysis, sentiment polarity, sentiment analysis, German, review}
}
Document
Exploring Causal Relationships Among Emotional and Topical Trajectories in Political Text Data

Authors: Andreas Baumann, Klaus Hofmann, Bettina Kern, Anna Marakasova, Julia Neidhardt, and Tanja Wissik

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)


Abstract
We explore relationships between dynamics of emotion (arousal and valence) and topical stability in political discourse in two diachronic corpora of Austrian German. In doing so, we assess interactions among emotional and topical dynamics related to political parties as well as interactions between two different domains of discourse: debates in the parliament and journalistic media. Methodologically, we employ unsupervised techniques, time-series clustering and Granger-causal modeling to detect potential interactions. We find that emotional and topical dynamics in the media are only rarely a reflex of dynamics in parliamentary discourse.

Cite as

Andreas Baumann, Klaus Hofmann, Bettina Kern, Anna Marakasova, Julia Neidhardt, and Tanja Wissik. Exploring Causal Relationships Among Emotional and Topical Trajectories in Political Text Data. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 38:1-38:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@InProceedings{baumann_et_al:OASIcs.LDK.2021.38,
  author =	{Baumann, Andreas and Hofmann, Klaus and Kern, Bettina and Marakasova, Anna and Neidhardt, Julia and Wissik, Tanja},
  title =	{{Exploring Causal Relationships Among Emotional and Topical Trajectories in Political Text Data}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{38:1--38:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.38},
  URN =		{urn:nbn:de:0030-drops-145740},
  doi =		{10.4230/OASIcs.LDK.2021.38},
  annote =	{Keywords: time-series clustering, Granger causality, topical stability, emotion, political discourse}
}
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