4 Search Results for "Hofmann, Klaus"


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}
}
Document
A Virtual Layer for FPGA Based Parallel Systems (MP-SoCs)

Authors: Andreas Hofmann and Klaus Waldschmidt

Published in: Dagstuhl Seminar Proceedings, Volume 8141, Organic Computing - Controlled Self-organization (2008)


Abstract
Besides performance and time to market, robustness and reliability are important design targets for modern Systemson- Chip (SoCs). Despite these features the power consumption must be as low as possible. To meet these design goals parallel, flexible, and adaptive architectures are required [1]. Today, dynamically reconfigurable FPGAs are well suited to form a parallel architecture because they incorporate serveral hard- and softcores. To efficiently use such multicore systems a hardware independent system must be created which handles all cores. Further, optimizing the power management the number of active cores must be adapted dynamically to the current workload. To make these features manageable and augment the system with adaptivity a virtual layer is required which hides the – due to runtime reconfiguration – changing hardware system from the application software. The Scalable Dataflow-driven Virtual Machine [2] is such a virtualization of a parallel, adaptive and heterogeneous cluster of processing elements (PE). Thus, it is well suited to serve as a managing firmware for multicore FPGAs.

Cite as

Andreas Hofmann and Klaus Waldschmidt. A Virtual Layer for FPGA Based Parallel Systems (MP-SoCs). In Organic Computing - Controlled Self-organization. Dagstuhl Seminar Proceedings, Volume 8141, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{hofmann_et_al:DagSemProc.08141.4,
  author =	{Hofmann, Andreas and Waldschmidt, Klaus},
  title =	{{A Virtual Layer for FPGA Based Parallel Systems (MP-SoCs)}},
  booktitle =	{Organic Computing - Controlled Self-organization},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8141},
  editor =	{Kirstie Bellman and Michael G. Hinchey and Christian M\"{u}ller-Schloer and Hartmut Schmeck and Rolf W\"{u}rtz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08141.4},
  URN =		{urn:nbn:de:0030-drops-15610},
  doi =		{10.4230/DagSemProc.08141.4},
  annote =	{Keywords: }
}
Document
Reliability-Aware Power Management Of Multi-Core Systems (MPSoCs)

Authors: Klaus Waldschmidt, Jan Haase, Andreas Hofmann, Markus Damm, and Dennis Hauser

Published in: Dagstuhl Seminar Proceedings, Volume 6141, Dynamically Reconfigurable Architectures (2006)


Abstract
Long-term reliability of processors in embedded systems is experiencing growing attention since decreasing feature sizes and increasing power consumption have a negative influence on the lifespan. Among other measures, the reliability can be influenced significantly by Dynamic Power Management (DPM), since it affects the processor's temperature. Compared to single-core systems reconfigurable multi-core SoCs offer much more possibilities to optimize power and reliability. The impact of different DPM-strategies on the lifespan of multi-core processors is the focus of this presentation. It is shown that the long-term reliability of a multi-core system can be influenced deliberately with different DPM strategies and that temperature cycling greatly influences the estimated lifespan. In this presentation, a new reliability-aware dynamic power management (RADPM) policy is explained.

Cite as

Klaus Waldschmidt, Jan Haase, Andreas Hofmann, Markus Damm, and Dennis Hauser. Reliability-Aware Power Management Of Multi-Core Systems (MPSoCs). In Dynamically Reconfigurable Architectures. Dagstuhl Seminar Proceedings, Volume 6141, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


Copy BibTex To Clipboard

@InProceedings{waldschmidt_et_al:DagSemProc.06141.17,
  author =	{Waldschmidt, Klaus and Haase, Jan and Hofmann, Andreas and Damm, Markus and Hauser, Dennis},
  title =	{{Reliability-Aware Power Management Of Multi-Core Systems (MPSoCs)}},
  booktitle =	{Dynamically Reconfigurable Architectures},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6141},
  editor =	{Peter M. Athanas and J\"{u}rgen Becker and Gordon Brebner and J\"{u}rgen Teich},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.06141.17},
  URN =		{urn:nbn:de:0030-drops-7458},
  doi =		{10.4230/DagSemProc.06141.17},
  annote =	{Keywords: Organic computing, Adaptivity, Power Management, Power Consumption, Reliability, SDVM}
}
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