---
_id: '3801'
author:
- first_name: Khalid
full_name: Al-Khatib, Khalid
last_name: Al-Khatib
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Matthias
full_name: Hagen, Matthias
last_name: Hagen
- first_name: Jonas
full_name: Köhler, Jonas
last_name: Köhler
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Al-Khatib K, Wachsmuth H, Hagen M, Köhler J, Stein B. Cross-Domain Mining
of Argumentative Text through Distant Supervision. In: Proceedings of the 2016
Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies. ; 2016:1395-1404. doi:10.18653/v1/N16-1165'
apa: 'Al-Khatib, K., Wachsmuth, H., Hagen, M., Köhler, J., & Stein, B. (2016).
Cross-Domain Mining of Argumentative Text through Distant Supervision. In Proceedings
of the 2016 Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies (pp. 1395–1404). https://doi.org/10.18653/v1/N16-1165'
bibtex: '@inproceedings{Al-Khatib_Wachsmuth_Hagen_Köhler_Stein_2016, title={Cross-Domain
Mining of Argumentative Text through Distant Supervision}, DOI={10.18653/v1/N16-1165},
booktitle={Proceedings of the 2016 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language Technologies}, author={Al-Khatib,
Khalid and Wachsmuth, Henning and Hagen, Matthias and Köhler, Jonas and Stein,
Benno}, year={2016}, pages={1395–1404} }'
chicago: 'Al-Khatib, Khalid, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, and
Benno Stein. “Cross-Domain Mining of Argumentative Text through Distant Supervision.”
In Proceedings of the 2016 Conference of the North American Chapter of the
Association for Computational Linguistics: Human Language Technologies, 1395–1404,
2016. https://doi.org/10.18653/v1/N16-1165.'
ieee: 'K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, and B. Stein, “Cross-Domain
Mining of Argumentative Text through Distant Supervision,” in Proceedings of
the 2016 Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies, 2016, pp. 1395–1404.'
mla: 'Al-Khatib, Khalid, et al. “Cross-Domain Mining of Argumentative Text through
Distant Supervision.” Proceedings of the 2016 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies,
2016, pp. 1395–404, doi:10.18653/v1/N16-1165.'
short: 'K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, B. Stein, in: Proceedings
of the 2016 Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies, 2016, pp. 1395–1404.'
date_created: 2018-08-02T13:38:23Z
date_updated: 2022-01-06T06:59:36Z
department:
- _id: '600'
doi: 10.18653/v1/N16-1165
extern: '1'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/N16-1165.pdf
page: 1395-1404
publication: 'Proceedings of the 2016 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language Technologies'
status: public
title: Cross-Domain Mining of Argumentative Text through Distant Supervision
type: conference
user_id: '82920'
year: '2016'
...
---
_id: '3816'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Khalid
full_name: Al Khatib, Khalid
last_name: Al Khatib
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Al Khatib K, Stein B. Using Argument Mining to Assess the Argumentation
Quality of Essays. In: Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics: Technical Papers. ; 2016:1680-1691.'
apa: 'Wachsmuth, H., Al Khatib, K., & Stein, B. (2016). Using Argument Mining
to Assess the Argumentation Quality of Essays. In Proceedings of COLING 2016,
the 26th International Conference on Computational Linguistics: Technical Papers
(pp. 1680–1691).'
bibtex: '@inproceedings{Wachsmuth_Al Khatib_Stein_2016, title={Using Argument Mining
to Assess the Argumentation Quality of Essays}, booktitle={Proceedings of COLING
2016, the 26th International Conference on Computational Linguistics: Technical
Papers}, author={Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}, year={2016},
pages={1680–1691} }'
chicago: 'Wachsmuth, Henning, Khalid Al Khatib, and Benno Stein. “Using Argument
Mining to Assess the Argumentation Quality of Essays.” In Proceedings of COLING
2016, the 26th International Conference on Computational Linguistics: Technical
Papers, 1680–91, 2016.'
ieee: 'H. Wachsmuth, K. Al Khatib, and B. Stein, “Using Argument Mining to Assess
the Argumentation Quality of Essays,” in Proceedings of COLING 2016, the 26th
International Conference on Computational Linguistics: Technical Papers, 2016,
pp. 1680–1691.'
mla: 'Wachsmuth, Henning, et al. “Using Argument Mining to Assess the Argumentation
Quality of Essays.” Proceedings of COLING 2016, the 26th International Conference
on Computational Linguistics: Technical Papers, 2016, pp. 1680–91.'
short: 'H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of COLING 2016, the
26th International Conference on Computational Linguistics: Technical Papers,
2016, pp. 1680–1691.'
date_created: 2018-08-02T13:38:43Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C16-1158.pdf
page: 1680-1691
publication: 'Proceedings of COLING 2016, the 26th International Conference on Computational
Linguistics: Technical Papers'
publication_identifier:
isbn:
- 978-3-88579-975-7
status: public
title: Using Argument Mining to Assess the Argumentation Quality of Essays
type: conference
user_id: '82920'
year: '2016'
...
---
_id: '3880'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Wachsmuth H. Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In:
Ausgezeichnete Informatikdissertationen 2015. ; 2016:329-338.'
apa: Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse.
In Ausgezeichnete Informatikdissertationen 2015 (pp. 329–338).
bibtex: '@inproceedings{Wachsmuth_2016, title={Pipelines Für Effiziente und Robuste
Ad-hoc Textanalyse}, booktitle={Ausgezeichnete Informatikdissertationen 2015},
author={Wachsmuth, Henning}, year={2016}, pages={329–338} }'
chicago: Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.”
In Ausgezeichnete Informatikdissertationen 2015, 329–38, 2016.
ieee: H. Wachsmuth, “Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse,” in
Ausgezeichnete Informatikdissertationen 2015, 2016, pp. 329–338.
mla: Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.”
Ausgezeichnete Informatikdissertationen 2015, 2016, pp. 329–38.
short: 'H. Wachsmuth, in: Ausgezeichnete Informatikdissertationen 2015, 2016, pp.
329–338.'
date_created: 2018-08-11T16:16:00Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.gi.de/bitstream/handle/20.500.12116/4595/329.pdf?sequence=1
page: 329-338
publication: Ausgezeichnete Informatikdissertationen 2015
publication_identifier:
isbn:
- 978-3-88579-975-7
status: public
title: Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse
type: conference
user_id: '82920'
year: '2016'
...
---
_id: '3815'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Johannes
full_name: Kiesel, Johannes
last_name: Kiesel
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Kiesel J, Stein B. Sentiment Flow - A General Model of Web Review
Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of the 2015 Conference
on Empirical Methods in Natural Language Processing. Lecture Notes in Computer
Science. ; 2015:601-611. doi:10.18653/v1/D15-1072'
apa: Wachsmuth, H., Kiesel, J., & Stein, B. (2015). Sentiment Flow - A General
Model of Web Review Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings
of the 2015 Conference on Empirical Methods in Natural Language Processing
(pp. 601–611). https://doi.org/10.18653/v1/D15-1072
bibtex: '@inproceedings{Wachsmuth_Kiesel_Stein_2015, series={Lecture Notes in Computer
Science}, title={Sentiment Flow - A General Model of Web Review Argumentation},
DOI={10.18653/v1/D15-1072},
booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural
Language Processing}, author={Wachsmuth, Henning and Kiesel, Johannes and Stein,
Benno}, editor={Tsujii, Junichi and Hajic, JanEditors}, year={2015}, pages={601–611},
collection={Lecture Notes in Computer Science} }'
chicago: Wachsmuth, Henning, Johannes Kiesel, and Benno Stein. “Sentiment Flow -
A General Model of Web Review Argumentation.” In Proceedings of the 2015 Conference
on Empirical Methods in Natural Language Processing, edited by Junichi Tsujii
and Jan Hajic, 601–11. Lecture Notes in Computer Science, 2015. https://doi.org/10.18653/v1/D15-1072.
ieee: H. Wachsmuth, J. Kiesel, and B. Stein, “Sentiment Flow - A General Model of
Web Review Argumentation,” in Proceedings of the 2015 Conference on Empirical
Methods in Natural Language Processing, 2015, pp. 601–611.
mla: Wachsmuth, Henning, et al. “Sentiment Flow - A General Model of Web Review
Argumentation.” Proceedings of the 2015 Conference on Empirical Methods in
Natural Language Processing, edited by Junichi Tsujii and Jan Hajic, 2015,
pp. 601–11, doi:10.18653/v1/D15-1072.
short: 'H. Wachsmuth, J. Kiesel, B. Stein, in: J. Tsujii, J. Hajic (Eds.), Proceedings
of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015,
pp. 601–611.'
date_created: 2018-08-02T13:38:41Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
doi: 10.18653/v1/D15-1072
editor:
- first_name: Junichi
full_name: Tsujii, Junichi
last_name: Tsujii
- first_name: Jan
full_name: Hajic, Jan
last_name: Hajic
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/D15-1072.pdf
page: 601-611
publication: Proceedings of the 2015 Conference on Empirical Methods in Natural Language
Processing
publication_identifier:
isbn:
- 978-3-319-25740-2
series_title: Lecture Notes in Computer Science
status: public
title: Sentiment Flow - A General Model of Web Review Argumentation
type: conference
user_id: '82920'
year: '2015'
...
---
_id: '3879'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: Wachsmuth H. Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining.;
2015. doi:http://dx.doi.org/10.1007/978-3-319-25741-9
apa: Wachsmuth, H. (2015). Text Analysis Pipelines - Towards Ad-hoc Large-scale
Text Mining. http://dx.doi.org/10.1007/978-3-319-25741-9
bibtex: '@book{Wachsmuth_2015, series={Lecture Notes in Computer Science}, title={Text
Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining}, DOI={http://dx.doi.org/10.1007/978-3-319-25741-9},
author={Wachsmuth, Henning}, year={2015}, collection={Lecture Notes in Computer
Science} }'
chicago: Wachsmuth, Henning. Text Analysis Pipelines - Towards Ad-Hoc Large-Scale
Text Mining. Lecture Notes in Computer Science, 2015. http://dx.doi.org/10.1007/978-3-319-25741-9.
ieee: H. Wachsmuth, Text Analysis Pipelines - Towards Ad-hoc Large-scale Text
Mining. 2015.
mla: Wachsmuth, Henning. Text Analysis Pipelines - Towards Ad-Hoc Large-Scale
Text Mining. 2015, doi:http://dx.doi.org/10.1007/978-3-319-25741-9.
short: H. Wachsmuth, Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining,
2015.
date_created: 2018-08-11T16:15:08Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
doi: http://dx.doi.org/10.1007/978-3-319-25741-9
language:
- iso: eng
publication_identifier:
isbn:
- 978-3-319-25740-2
series_title: Lecture Notes in Computer Science
status: public
title: Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining
type: book
user_id: '82920'
year: '2015'
...
---
_id: '7568'
abstract:
- lang: eng
text: 'Today''s web search and big data analytics applications aim to address information
needs~(typically given in the form of search queries) ad-hoc on large numbers
of texts. In order to directly return relevant information instead of only returning
potentially relevant texts, these applications have begun to employ text mining.
The term text mining covers tasks that deal with the inference of structured high-quality
information from collections and streams of unstructured input texts. Text mining
requires task-specific text analysis processes that may consist of several interdependent
steps. These processes are realized with sequences of algorithms from information
extraction, text classification, and natural language processing. However, the
use of such text analysis pipelines is still restricted to addressing a few predefined
information needs. We argue that the reasons behind are three-fold: First, text
analysis pipelines are usually made manually in respect of the given information
need and input texts, because their design requires expert knowledge about the
algorithms to be employed. When information needs have to be addressed that are
unknown beforehand, text mining hence cannot be performed ad-hoc. Second, text
analysis pipelines tend to be inefficient in terms of run-time, because their
execution often includes analyzing texts with computationally expensive algorithms.
When information needs have to be addressed ad-hoc, text mining hence cannot be
performed in the large. And third, text analysis pipelines tend not to robustly
achieve high effectiveness on all texts, because their results are often inferred
by algorithms that rely on domain-dependent features of texts. Hence, text mining
currently cannot guarantee to infer high-quality information. In this thesis,
we contribute to the question of how to address information needs from text mining
ad-hoc in an efficient and domain-robust manner. We observe that knowledge about
a text analysis process and information obtained within the process help to improve
the design, the execution, and the results of the pipeline that realizes the process.
To this end, we apply different techniques from classical and statistical artificial
intelligence. In particular, we first develop knowledge-based approaches for an
ad-hoc pipeline construction and for an optimal execution of a pipeline on its
input. Then, we show theoretically and practically how to optimize and adapt the
schedule of the algorithms in a pipeline based on information in the analyzed
input texts in order to maximize execution efficiency. Finally, we learn patterns
in the argumentation structures of texts statistically that remain strongly invariant
across domains and that, thereby, allow for more robust analysis results in a
restricted set of tasks. We formally analyze all developed approaches and we implement
them as open-source software applications. Based on these applications, we evaluate
the approaches on established and on newly created collections of texts for scientifically
and industrially important text analysis tasks, such as financial event extraction
and fine-grained sentiment analysis. Our findings show that text analysis pipelines
can be designed automatically, which process only portions of text that are relevant
for the information need at hand. Through scheduling, the run-time efficiency
of pipelines can be improved by up to more than one order of magnitude while maintaining
effectiveness. Moreover, we provide evidence that a pipeline''s domain robustness
substantially benefits from focusing on argumentation structure in tasks like
sentiment analysis. We conclude that our approaches denote essential building
blocks of enabling ad-hoc large-scale text mining in web search and big data analytics
applications.'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: Wachsmuth H. Pipelines for Ad-Hoc Large-Scale Text Mining.; 2015.
apa: Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.
bibtex: '@book{Wachsmuth_2015, title={Pipelines for Ad-hoc Large-scale Text Mining},
author={Wachsmuth, Henning}, year={2015} }'
chicago: Wachsmuth, Henning. Pipelines for Ad-Hoc Large-Scale Text Mining,
2015.
ieee: H. Wachsmuth, Pipelines for Ad-hoc Large-scale Text Mining. 2015.
mla: Wachsmuth, Henning. Pipelines for Ad-Hoc Large-Scale Text Mining. 2015.
short: H. Wachsmuth, Pipelines for Ad-Hoc Large-Scale Text Mining, 2015.
date_created: 2019-02-06T14:14:29Z
date_updated: 2022-01-06T07:03:39Z
department:
- _id: '66'
- _id: '600'
language:
- iso: eng
related_material:
link:
- relation: confirmation
url: https://webis.de/downloads/publications/papers/wachsmuth_2013.pdf
status: public
title: Pipelines for Ad-hoc Large-scale Text Mining
type: dissertation
user_id: '82920'
year: '2015'
...
---
_id: '20142'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Martin
full_name: Trenkmann, Martin
last_name: Trenkmann
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Tsvetomira
full_name: Palakarska, Tsvetomira
last_name: Palakarska
citation:
ama: 'Wachsmuth H, Trenkmann M, Stein B, Engels G, Palakarska T. A Review Corpus
for Argumentation Analysis. In: Proceedings of the 15th International Conference
on Intelligent Text Processing and Computational Linguistics. ; 2014:115–127.'
apa: Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., & Palakarska, T. (2014).
A Review Corpus for Argumentation Analysis. In Proceedings of the 15th International
Conference on Intelligent Text Processing and Computational Linguistics (pp.
115–127).
bibtex: '@inproceedings{Wachsmuth_Trenkmann_Stein_Engels_Palakarska_2014, title={A
Review Corpus for Argumentation Analysis}, booktitle={Proceedings of the 15th
International Conference on Intelligent Text Processing and Computational Linguistics},
author={Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and Engels,
Gregor and Palakarska, Tsvetomira}, year={2014}, pages={115–127} }'
chicago: Wachsmuth, Henning, Martin Trenkmann, Benno Stein, Gregor Engels, and Tsvetomira
Palakarska. “A Review Corpus for Argumentation Analysis.” In Proceedings of
the 15th International Conference on Intelligent Text Processing and Computational
Linguistics, 115–127, 2014.
ieee: H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, and T. Palakarska, “A Review
Corpus for Argumentation Analysis,” in Proceedings of the 15th International
Conference on Intelligent Text Processing and Computational Linguistics, 2014,
pp. 115–127.
mla: Wachsmuth, Henning, et al. “A Review Corpus for Argumentation Analysis.” Proceedings
of the 15th International Conference on Intelligent Text Processing and Computational
Linguistics, 2014, pp. 115–127.
short: 'H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, T. Palakarska, in: Proceedings
of the 15th International Conference on Intelligent Text Processing and Computational
Linguistics, 2014, pp. 115–127.'
date_created: 2020-10-20T13:47:30Z
date_updated: 2022-01-06T06:54:20Z
department:
- _id: '600'
language:
- iso: eng
page: 115–127
publication: Proceedings of the 15th International Conference on Intelligent Text
Processing and Computational Linguistics
status: public
title: A Review Corpus for Argumentation Analysis
type: conference
user_id: '82920'
year: '2014'
...
---
_id: '3805'
author:
- first_name: Frank
full_name: Brüseke, Frank
last_name: Brüseke
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
- first_name: Steffen
full_name: Becker, Steffen
last_name: Becker
citation:
ama: 'Brüseke F, Wachsmuth H, Engels G, Becker S. PBlaman: performance blame analysis
based on Palladio contracts. In: Proceedings of the 4th International Symposium
on Autonomous Minirobots for Research and Edutainment. ; 2014:1975-2004.'
apa: 'Brüseke, F., Wachsmuth, H., Engels, G., & Becker, S. (2014). PBlaman:
performance blame analysis based on Palladio contracts. In Proceedings of the
4th International Symposium on Autonomous Minirobots for Research and Edutainment
(pp. 1975–2004).'
bibtex: '@inproceedings{Brüseke_Wachsmuth_Engels_Becker_2014, title={PBlaman: performance
blame analysis based on Palladio contracts}, number={12}, booktitle={Proceedings
of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment},
author={Brüseke, Frank and Wachsmuth, Henning and Engels, Gregor and Becker, Steffen},
year={2014}, pages={1975–2004} }'
chicago: 'Brüseke, Frank, Henning Wachsmuth, Gregor Engels, and Steffen Becker.
“PBlaman: Performance Blame Analysis Based on Palladio Contracts.” In Proceedings
of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment,
1975–2004, 2014.'
ieee: 'F. Brüseke, H. Wachsmuth, G. Engels, and S. Becker, “PBlaman: performance
blame analysis based on Palladio contracts,” in Proceedings of the 4th International
Symposium on Autonomous Minirobots for Research and Edutainment, 2014, no.
12, pp. 1975–2004.'
mla: 'Brüseke, Frank, et al. “PBlaman: Performance Blame Analysis Based on Palladio
Contracts.” Proceedings of the 4th International Symposium on Autonomous Minirobots
for Research and Edutainment, no. 12, 2014, pp. 1975–2004.'
short: 'F. Brüseke, H. Wachsmuth, G. Engels, S. Becker, in: Proceedings of the 4th
International Symposium on Autonomous Minirobots for Research and Edutainment,
2014, pp. 1975–2004.'
date_created: 2018-08-02T13:38:28Z
date_updated: 2022-01-06T06:59:36Z
department:
- _id: '600'
issue: '12'
language:
- iso: eng
page: 1975-2004
publication: Proceedings of the 4th International Symposium on Autonomous Minirobots
for Research and Edutainment
status: public
title: 'PBlaman: performance blame analysis based on Palladio contracts'
type: conference
user_id: '82920'
year: '2014'
...
---
_id: '3877'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Martin
full_name: Trenkmann, Martin
last_name: Trenkmann
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
citation:
ama: 'Wachsmuth H, Trenkmann M, Stein B, Engels G. Modeling Review Argumentation
for Robust Sentiment Analysis. In: Proceedings of COLING 2014, the 25th International
Conference on Computational Linguistics: Technical Papers. ; 2014:553-564.'
apa: 'Wachsmuth, H., Trenkmann, M., Stein, B., & Engels, G. (2014). Modeling
Review Argumentation for Robust Sentiment Analysis. In Proceedings of COLING
2014, the 25th International Conference on Computational Linguistics: Technical
Papers (pp. 553–564).'
bibtex: '@inproceedings{Wachsmuth_Trenkmann_Stein_Engels_2014, title={Modeling Review
Argumentation for Robust Sentiment Analysis}, booktitle={Proceedings of COLING
2014, the 25th International Conference on Computational Linguistics: Technical
Papers}, author={Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and
Engels, Gregor}, year={2014}, pages={553–564} }'
chicago: 'Wachsmuth, Henning, Martin Trenkmann, Benno Stein, and Gregor Engels.
“Modeling Review Argumentation for Robust Sentiment Analysis.” In Proceedings
of COLING 2014, the 25th International Conference on Computational Linguistics:
Technical Papers, 553–64, 2014.'
ieee: 'H. Wachsmuth, M. Trenkmann, B. Stein, and G. Engels, “Modeling Review Argumentation
for Robust Sentiment Analysis,” in Proceedings of COLING 2014, the 25th International
Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–564.'
mla: 'Wachsmuth, Henning, et al. “Modeling Review Argumentation for Robust Sentiment
Analysis.” Proceedings of COLING 2014, the 25th International Conference on
Computational Linguistics: Technical Papers, 2014, pp. 553–64.'
short: 'H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, in: Proceedings of COLING
2014, the 25th International Conference on Computational Linguistics: Technical
Papers, 2014, pp. 553–564.'
date_created: 2018-08-11T16:13:24Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C14-1053.pdf
page: 553-564
publication: 'Proceedings of COLING 2014, the 25th International Conference on Computational
Linguistics: Technical Papers'
status: public
title: Modeling Review Argumentation for Robust Sentiment Analysis
type: conference
user_id: '82920'
year: '2014'
...
---
_id: '3813'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
citation:
ama: 'Wachsmuth H, Stein B, Engels G. Learning Efficient Information Extraction
on Heterogeneous Texts. In: Gelbukh A, ed. Proceedings of the Sixth International
Joint Conference on Natural Language Processing. Lecture Notes in Computer
Science. ; 2013:534-542.'
apa: Wachsmuth, H., Stein, B., & Engels, G. (2013). Learning Efficient Information
Extraction on Heterogeneous Texts. In A. Gelbukh (Ed.), Proceedings of the
Sixth International Joint Conference on Natural Language Processing (pp. 534–542).
bibtex: '@inproceedings{Wachsmuth_Stein_Engels_2013, series={Lecture Notes in Computer
Science}, title={Learning Efficient Information Extraction on Heterogeneous Texts},
booktitle={Proceedings of the Sixth International Joint Conference on Natural
Language Processing}, author={Wachsmuth, Henning and Stein, Benno and Engels,
Gregor}, editor={Gelbukh, AlexanderEditor}, year={2013}, pages={534–542}, collection={Lecture
Notes in Computer Science} }'
chicago: Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Learning Efficient
Information Extraction on Heterogeneous Texts.” In Proceedings of the Sixth
International Joint Conference on Natural Language Processing, edited by Alexander
Gelbukh, 534–42. Lecture Notes in Computer Science, 2013.
ieee: H. Wachsmuth, B. Stein, and G. Engels, “Learning Efficient Information Extraction
on Heterogeneous Texts,” in Proceedings of the Sixth International Joint Conference
on Natural Language Processing, 2013, pp. 534–542.
mla: Wachsmuth, Henning, et al. “Learning Efficient Information Extraction on Heterogeneous
Texts.” Proceedings of the Sixth International Joint Conference on Natural
Language Processing, edited by Alexander Gelbukh, 2013, pp. 534–42.
short: 'H. Wachsmuth, B. Stein, G. Engels, in: A. Gelbukh (Ed.), Proceedings of
the Sixth International Joint Conference on Natural Language Processing, 2013,
pp. 534–542.'
date_created: 2018-08-02T13:38:39Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
editor:
- first_name: Alexander
full_name: Gelbukh, Alexander
last_name: Gelbukh
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/I13-1061.pdf
page: 534-542
publication: Proceedings of the Sixth International Joint Conference on Natural Language
Processing
series_title: Lecture Notes in Computer Science
status: public
title: Learning Efficient Information Extraction on Heterogeneous Texts
type: conference
user_id: '82920'
year: '2013'
...
---
_id: '3814'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
citation:
ama: 'Wachsmuth H, Stein B, Engels G. Information Extraction as a Filtering Task.
In: Proceedings of the 22nd ACM International Conference on Conference on Information
& Knowledge Management. ; 2013:2049-2058.'
apa: Wachsmuth, H., Stein, B., & Engels, G. (2013). Information Extraction as
a Filtering Task. In Proceedings of the 22nd ACM International Conference on
Conference on Information & Knowledge Management (pp. 2049–2058).
bibtex: '@inproceedings{Wachsmuth_Stein_Engels_2013, title={Information Extraction
as a Filtering Task}, booktitle={Proceedings of the 22nd ACM International Conference
on Conference on Information & Knowledge Management}, author={Wachsmuth, Henning
and Stein, Benno and Engels, Gregor}, year={2013}, pages={2049–2058} }'
chicago: Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Information Extraction
as a Filtering Task.” In Proceedings of the 22nd ACM International Conference
on Conference on Information & Knowledge Management, 2049–58, 2013.
ieee: H. Wachsmuth, B. Stein, and G. Engels, “Information Extraction as a Filtering
Task,” in Proceedings of the 22nd ACM International Conference on Conference
on Information & Knowledge Management, 2013, pp. 2049–2058.
mla: Wachsmuth, Henning, et al. “Information Extraction as a Filtering Task.” Proceedings
of the 22nd ACM International Conference on Conference on Information & Knowledge
Management, 2013, pp. 2049–58.
short: 'H. Wachsmuth, B. Stein, G. Engels, in: Proceedings of the 22nd ACM International
Conference on Conference on Information & Knowledge Management, 2013, pp.
2049–2058.'
date_created: 2018-08-02T13:38:40Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/2505515.2505557
page: 2049-2058
publication: Proceedings of the 22nd ACM International Conference on Conference on
Information & Knowledge Management
publication_identifier:
isbn:
- 978-1-4503-2263-8
status: public
title: Information Extraction as a Filtering Task
type: conference
user_id: '82920'
year: '2013'
...
---
_id: '3876'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Mirko
full_name: Rose, Mirko
last_name: Rose
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
citation:
ama: 'Wachsmuth H, Rose M, Engels G. Automatic Pipeline Construction for Real-Time
Annotation. In: Gelbukh A, ed. 14th International Conference on Intelligent
Text Processing and Computational Linguistics. Lecture Notes in Computer Science.
; 2013:38-49.'
apa: Wachsmuth, H., Rose, M., & Engels, G. (2013). Automatic Pipeline Construction
for Real-Time Annotation. In A. Gelbukh (Ed.), 14th International Conference
on Intelligent Text Processing and Computational Linguistics (pp. 38–49).
bibtex: '@inproceedings{Wachsmuth_Rose_Engels_2013, series={Lecture Notes in Computer
Science}, title={Automatic Pipeline Construction for Real-Time Annotation}, booktitle={14th
International Conference on Intelligent Text Processing and Computational Linguistics},
author={Wachsmuth, Henning and Rose, Mirko and Engels, Gregor}, editor={Gelbukh,
AlexanderEditor}, year={2013}, pages={38–49}, collection={Lecture Notes in Computer
Science} }'
chicago: Wachsmuth, Henning, Mirko Rose, and Gregor Engels. “Automatic Pipeline
Construction for Real-Time Annotation.” In 14th International Conference on
Intelligent Text Processing and Computational Linguistics, edited by Alexander
Gelbukh, 38–49. Lecture Notes in Computer Science, 2013.
ieee: H. Wachsmuth, M. Rose, and G. Engels, “Automatic Pipeline Construction for
Real-Time Annotation,” in 14th International Conference on Intelligent Text
Processing and Computational Linguistics, 2013, pp. 38–49.
mla: Wachsmuth, Henning, et al. “Automatic Pipeline Construction for Real-Time Annotation.”
14th International Conference on Intelligent Text Processing and Computational
Linguistics, edited by Alexander Gelbukh, 2013, pp. 38–49.
short: 'H. Wachsmuth, M. Rose, G. Engels, in: A. Gelbukh (Ed.), 14th International
Conference on Intelligent Text Processing and Computational Linguistics, 2013,
pp. 38–49.'
date_created: 2018-08-11T16:12:29Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
editor:
- first_name: Alexander
full_name: Gelbukh, Alexander
last_name: Gelbukh
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/wachsmuth_2013.pdf
page: 38-49
publication: 14th International Conference on Intelligent Text Processing and Computational
Linguistics
series_title: Lecture Notes in Computer Science
status: public
title: Automatic Pipeline Construction for Real-Time Annotation
type: conference
user_id: '82920'
year: '2013'
...
---
_id: '3812'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Stein B. Optimal Scheduling of Information Extraction Algorithms.
In: Proceedings of COLING 2012: Posters. ; 2012:1281-1290.'
apa: 'Wachsmuth, H., & Stein, B. (2012). Optimal Scheduling of Information Extraction
Algorithms. In Proceedings of COLING 2012: Posters (pp. 1281–1290).'
bibtex: '@inproceedings{Wachsmuth_Stein_2012, title={Optimal Scheduling of Information
Extraction Algorithms}, booktitle={Proceedings of COLING 2012: Posters}, author={Wachsmuth,
Henning and Stein, Benno}, year={2012}, pages={1281–1290} }'
chicago: 'Wachsmuth, Henning, and Benno Stein. “Optimal Scheduling of Information
Extraction Algorithms.” In Proceedings of COLING 2012: Posters, 1281–90,
2012.'
ieee: 'H. Wachsmuth and B. Stein, “Optimal Scheduling of Information Extraction
Algorithms,” in Proceedings of COLING 2012: Posters, 2012, pp. 1281–1290.'
mla: 'Wachsmuth, Henning, and Benno Stein. “Optimal Scheduling of Information Extraction
Algorithms.” Proceedings of COLING 2012: Posters, 2012, pp. 1281–90.'
short: 'H. Wachsmuth, B. Stein, in: Proceedings of COLING 2012: Posters, 2012, pp.
1281–1290.'
date_created: 2018-08-02T13:38:37Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C12-2125.pdf
page: 1281-1290
publication: 'Proceedings of COLING 2012: Posters'
status: public
title: Optimal Scheduling of Information Extraction Algorithms
type: conference
user_id: '82920'
year: '2012'
...
---
_id: '3811'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Kathrin
full_name: Bujna, Kathrin
last_name: Bujna
citation:
ama: 'Wachsmuth H, Bujna K. Back to the Roots of Genres: Text Classification by
Language Function. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven
I, eds. Proceedings of 5th International Joint Conference on Natural Language
Processing. ; 2011:632-640.'
apa: 'Wachsmuth, H., & Bujna, K. (2011). Back to the Roots of Genres: Text Classification
by Language Function. In B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis,
& I. Ruthven (Eds.), Proceedings of 5th International Joint Conference
on Natural Language Processing (pp. 632–640).'
bibtex: '@inproceedings{Wachsmuth_Bujna_2011, title={Back to the Roots of Genres:
Text Classification by Language Function}, booktitle={Proceedings of 5th International
Joint Conference on Natural Language Processing}, author={Wachsmuth, Henning and
Bujna, Kathrin}, editor={Berendt, Bettina and de Vries, Arjen and Fan, Wenfei
and Macdonald, Craig and Ounis, Iadh and Ruthven, IanEditors}, year={2011}, pages={632–640}
}'
chicago: 'Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text
Classification by Language Function.” In Proceedings of 5th International Joint
Conference on Natural Language Processing, edited by Bettina Berendt, Arjen
de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 632–40, 2011.'
ieee: 'H. Wachsmuth and K. Bujna, “Back to the Roots of Genres: Text Classification
by Language Function,” in Proceedings of 5th International Joint Conference
on Natural Language Processing, 2011, pp. 632–640.'
mla: 'Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text
Classification by Language Function.” Proceedings of 5th International Joint
Conference on Natural Language Processing, edited by Bettina Berendt et al.,
2011, pp. 632–40.'
short: 'H. Wachsmuth, K. Bujna, in: B. Berendt, A. de Vries, W. Fan, C. Macdonald,
I. Ounis, I. Ruthven (Eds.), Proceedings of 5th International Joint Conference
on Natural Language Processing, 2011, pp. 632–640.'
date_created: 2018-08-02T13:38:36Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
editor:
- first_name: Bettina
full_name: Berendt, Bettina
last_name: Berendt
- first_name: Arjen
full_name: de Vries, Arjen
last_name: de Vries
- first_name: Wenfei
full_name: Fan, Wenfei
last_name: Fan
- first_name: Craig
full_name: Macdonald, Craig
last_name: Macdonald
- first_name: Iadh
full_name: Ounis, Iadh
last_name: Ounis
- first_name: Ian
full_name: Ruthven, Ian
last_name: Ruthven
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/I11-1071.pdf
page: 632-640
publication: Proceedings of 5th International Joint Conference on Natural Language
Processing
publication_identifier:
isbn:
- 978-1-4503-0717-8
status: public
title: 'Back to the Roots of Genres: Text Classification by Language Function'
type: conference
user_id: '82920'
year: '2011'
...
---
_id: '3875'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Gregor
full_name: Engels, Gregor
last_name: Engels
citation:
ama: 'Wachsmuth H, Stein B, Engels G. Constructing Efficient Information Extraction
Pipelines. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I,
eds. 20th ACM International Conference on Information and Knowledge Management.
; 2011:2237-2240.'
apa: Wachsmuth, H., Stein, B., & Engels, G. (2011). Constructing Efficient Information
Extraction Pipelines. In B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis,
& I. Ruthven (Eds.), 20th ACM International Conference on Information and
Knowledge Management (pp. 2237–2240).
bibtex: '@inproceedings{Wachsmuth_Stein_Engels_2011, title={Constructing Efficient
Information Extraction Pipelines}, booktitle={20th ACM International Conference
on Information and Knowledge Management}, author={Wachsmuth, Henning and Stein,
Benno and Engels, Gregor}, editor={Berendt, Bettina and de Vries, Arjen and Fan,
Wenfei and Macdonald, Craig and Ounis, Iadh and Ruthven, IanEditors}, year={2011},
pages={2237–2240} }'
chicago: Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Constructing Efficient
Information Extraction Pipelines.” In 20th ACM International Conference on
Information and Knowledge Management, edited by Bettina Berendt, Arjen de
Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 2237–40, 2011.
ieee: H. Wachsmuth, B. Stein, and G. Engels, “Constructing Efficient Information
Extraction Pipelines,” in 20th ACM International Conference on Information
and Knowledge Management, 2011, pp. 2237–2240.
mla: Wachsmuth, Henning, et al. “Constructing Efficient Information Extraction Pipelines.”
20th ACM International Conference on Information and Knowledge Management,
edited by Bettina Berendt et al., 2011, pp. 2237–40.
short: 'H. Wachsmuth, B. Stein, G. Engels, in: B. Berendt, A. de Vries, W. Fan,
C. Macdonald, I. Ounis, I. Ruthven (Eds.), 20th ACM International Conference on
Information and Knowledge Management, 2011, pp. 2237–2240.'
date_created: 2018-08-11T16:11:20Z
date_updated: 2022-01-06T06:59:47Z
department:
- _id: '600'
editor:
- first_name: Bettina
full_name: Berendt, Bettina
last_name: Berendt
- first_name: Arjen
full_name: de Vries, Arjen
last_name: de Vries
- first_name: Wenfei
full_name: Fan, Wenfei
last_name: Fan
- first_name: Craig
full_name: Macdonald, Craig
last_name: Macdonald
- first_name: Iadh
full_name: Ounis, Iadh
last_name: Ounis
- first_name: Ian
full_name: Ruthven, Ian
last_name: Ruthven
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/stein_2011m.pdf
page: 2237-2240
publication: 20th ACM International Conference on Information and Knowledge Management
publication_identifier:
isbn:
- 978-1-4503-0717-8
status: public
title: Constructing Efficient Information Extraction Pipelines
type: conference
user_id: '82920'
year: '2011'
...
---
_id: '3810'
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Peter
full_name: Prettenhofer, Peter
last_name: Prettenhofer
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Wachsmuth H, Prettenhofer P, Stein B. Efficient Statement Identification for
Automatic Market Forecasting. In: Proceedings of the 23rd International Conference
on Computational Linguistics (Coling 2010). ; 2010:1128-1136.'
apa: Wachsmuth, H., Prettenhofer, P., & Stein, B. (2010). Efficient Statement
Identification for Automatic Market Forecasting. In Proceedings of the 23rd
International Conference on Computational Linguistics (Coling 2010) (pp. 1128–1136).
bibtex: '@inproceedings{Wachsmuth_Prettenhofer_Stein_2010, title={Efficient Statement
Identification for Automatic Market Forecasting}, booktitle={Proceedings of the
23rd International Conference on Computational Linguistics (Coling 2010)}, author={Wachsmuth,
Henning and Prettenhofer, Peter and Stein, Benno}, year={2010}, pages={1128–1136}
}'
chicago: Wachsmuth, Henning, Peter Prettenhofer, and Benno Stein. “Efficient Statement
Identification for Automatic Market Forecasting.” In Proceedings of the 23rd
International Conference on Computational Linguistics (Coling 2010), 1128–36,
2010.
ieee: H. Wachsmuth, P. Prettenhofer, and B. Stein, “Efficient Statement Identification
for Automatic Market Forecasting,” in Proceedings of the 23rd International
Conference on Computational Linguistics (Coling 2010), 2010, pp. 1128–1136.
mla: Wachsmuth, Henning, et al. “Efficient Statement Identification for Automatic
Market Forecasting.” Proceedings of the 23rd International Conference on Computational
Linguistics (Coling 2010), 2010, pp. 1128–36.
short: 'H. Wachsmuth, P. Prettenhofer, B. Stein, in: Proceedings of the 23rd International
Conference on Computational Linguistics (Coling 2010), 2010, pp. 1128–1136.'
date_created: 2018-08-02T13:38:35Z
date_updated: 2022-01-06T06:59:37Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/C10-1127.pdf
page: 1128-1136
publication: Proceedings of the 23rd International Conference on Computational Linguistics
(Coling 2010)
status: public
title: Efficient Statement Identification for Automatic Market Forecasting
type: conference
user_id: '82920'
year: '2010'
...
---
_id: '7970'
abstract:
- lang: eng
text: We consider the problem of exploring an unknown environment using a swarm
of autonomous robots with collective behavior emerging from their local rules.
Each robot has only a very restricted view on the environment which makes cooperation
difficult. We introduce a software system which is capable of simulating a large
number of such robots (e.g. 1000) on highly complex terrains with millions of
obstacles. Its main purpose is to easily integrate and evaluate any kind of algorithm
for controlling the robot behavior. The simulation may be observed in real-time
via a visualization that displays both the individual and the collective progress
of the robots. We present the system design, its main features and underlying
concepts.
author:
- first_name: Stephan
full_name: Arens, Stephan
last_name: Arens
- first_name: Alexander
full_name: Buss, Alexander
last_name: Buss
- first_name: Helena
full_name: Deck, Helena
last_name: Deck
- first_name: Miroslaw
full_name: Dynia, Miroslaw
last_name: Dynia
- first_name: Matthias
full_name: Fischer, Matthias
id: '146'
last_name: Fischer
- first_name: Holger
full_name: Hagedorn, Holger
last_name: Hagedorn
- first_name: Peter
full_name: Isaak, Peter
last_name: Isaak
- first_name: Jaroslaw
full_name: Kutylowski, Jaroslaw
last_name: Kutylowski
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Viktor
full_name: Nesterow, Viktor
last_name: Nesterow
- first_name: Adrian
full_name: Ogiermann, Adrian
last_name: Ogiermann
- first_name: Boris
full_name: Stobbe, Boris
last_name: Stobbe
- first_name: Thomas
full_name: Storm, Thomas
last_name: Storm
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Arens S, Buss A, Deck H, et al. Smart Teams: Simulating Large Robotic Swarms
in Vast Environments. In: Proceedings of the 4th International Symposium on
Autonomous Minirobots for Research and Edutainment. Buenos Aires, Argentina:
Heinz Nixdorf Institut, University of Paderborn; 2007:215-222.'
apa: 'Arens, S., Buss, A., Deck, H., Dynia, M., Fischer, M., Hagedorn, H., … Wachsmuth,
H. (2007). Smart Teams: Simulating Large Robotic Swarms in Vast Environments.
In Proceedings of the 4th International Symposium on Autonomous Minirobots
for Research and Edutainment (pp. 215–222). Buenos Aires, Argentina: Heinz
Nixdorf Institut, University of Paderborn.'
bibtex: '@inproceedings{Arens_Buss_Deck_Dynia_Fischer_Hagedorn_Isaak_Kutylowski_Meyer
auf der Heide_Nesterow_et al._2007, place={Buenos Aires, Argentina}, title={Smart
Teams: Simulating Large Robotic Swarms in Vast Environments}, booktitle={Proceedings
of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment},
publisher={Heinz Nixdorf Institut, University of Paderborn}, author={Arens, Stephan
and Buss, Alexander and Deck, Helena and Dynia, Miroslaw and Fischer, Matthias
and Hagedorn, Holger and Isaak, Peter and Kutylowski, Jaroslaw and Meyer auf der
Heide, Friedhelm and Nesterow, Viktor and et al.}, year={2007}, pages={215–222}
}'
chicago: 'Arens, Stephan, Alexander Buss, Helena Deck, Miroslaw Dynia, Matthias
Fischer, Holger Hagedorn, Peter Isaak, et al. “Smart Teams: Simulating Large Robotic
Swarms in Vast Environments.” In Proceedings of the 4th International Symposium
on Autonomous Minirobots for Research and Edutainment, 215–22. Buenos Aires,
Argentina: Heinz Nixdorf Institut, University of Paderborn, 2007.'
ieee: 'S. Arens et al., “Smart Teams: Simulating Large Robotic Swarms in
Vast Environments,” in Proceedings of the 4th International Symposium on Autonomous
Minirobots for Research and Edutainment, 2007, pp. 215–222.'
mla: 'Arens, Stephan, et al. “Smart Teams: Simulating Large Robotic Swarms in Vast
Environments.” Proceedings of the 4th International Symposium on Autonomous
Minirobots for Research and Edutainment, Heinz Nixdorf Institut, University
of Paderborn, 2007, pp. 215–22.'
short: 'S. Arens, A. Buss, H. Deck, M. Dynia, M. Fischer, H. Hagedorn, P. Isaak,
J. Kutylowski, F. Meyer auf der Heide, V. Nesterow, A. Ogiermann, B. Stobbe, T.
Storm, H. Wachsmuth, in: Proceedings of the 4th International Symposium on Autonomous
Minirobots for Research and Edutainment, Heinz Nixdorf Institut, University of
Paderborn, Buenos Aires, Argentina, 2007, pp. 215–222.'
date_created: 2019-02-21T11:56:39Z
date_updated: 2022-01-06T07:03:48Z
department:
- _id: '66'
- _id: '600'
- _id: '63'
language:
- iso: eng
main_file_link:
- url: https://webis.de/downloads/publications/papers/arens_2007.pdf
page: 215-222
place: Buenos Aires, Argentina
publication: Proceedings of the 4th International Symposium on Autonomous Minirobots
for Research and Edutainment
publisher: Heinz Nixdorf Institut, University of Paderborn
status: public
title: 'Smart Teams: Simulating Large Robotic Swarms in Vast Environments'
type: conference
user_id: '15415'
year: '2007'
...