Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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In: Proceedings of the 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task, Berlin,Germany, August 7-12, 2016. - Berlin : Association for Computational Linguistics, 2016., S. 1-6
- Classification
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Bibliotheks- und Informationswissenschaft
- Keyword
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Korpus
Textlinguistik
Annotation
- Event
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Veröffentlichung
- (where)
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Mannheim
- (who)
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Institut für Deutsche Sprache, Bibliothek
- (when)
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2016
- Creator
- URN
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urn:nbn:de:bsz:mh39-52979
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schäfer, Roland
- Bildhauer, Felix
- Institut für Deutsche Sprache, Bibliothek
Time of origin
- 2016
Other Objects (12)
Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison
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Deduplication in large web corpora
Deduplication in large web corpora
Discovering topic structures of a temporally evolving document corpus
Corpus-informed application based on Korean Learners’ Corpus: substitution errors of topic and nominative markers
Extracting compound terms from domain corpora
The Vast and the Focused: On the need for domain-focused web corpora
The Vast and the Focused: On the need for domain-focused web corpora
A sentiment corpus for the cryptocurrency financial domain: the CryptoLin corpus
Corpus Delicti.
Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison
Topic Models on Biased Corpora
Cross-Corpora Comparisons of Topics and Topic Trends
Deduplication in large web corpora
Deduplication in large web corpora
Discovering topic structures of a temporally evolving document corpus
Corpus-informed application based on Korean Learners’ Corpus: substitution errors of topic and nominative markers
Extracting compound terms from domain corpora
The Vast and the Focused: On the need for domain-focused web corpora
The Vast and the Focused: On the need for domain-focused web corpora
A sentiment corpus for the cryptocurrency financial domain: the CryptoLin corpus
Corpus Delicti.
Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison
Topic Models on Biased Corpora
Cross-Corpora Comparisons of Topics and Topic Trends
Deduplication in large web corpora
Deduplication in large web corpora
Discovering topic structures of a temporally evolving document corpus
Corpus-informed application based on Korean Learners’ Corpus: substitution errors of topic and nominative markers
Extracting compound terms from domain corpora
The Vast and the Focused: On the need for domain-focused web corpora
The Vast and the Focused: On the need for domain-focused web corpora
A sentiment corpus for the cryptocurrency financial domain: the CryptoLin corpus