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Automatic methods to extract latent meanings in large text corpora
Pölitz, Christian [Verfasser]; Morik, Katharina [Akademischer Betreuer]; Müller, Heinrich [Gutachter]. - Dortmund : Universitätsbibliothek Dortmund, 2016
DNB Subject Category Language
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2
Automatic methods to extract latent meanings in large text corpora ...
Pölitz, Christian. - : Technische Universität Dortmund, 2016
Abstract: This thesis concentrates on Data Mining in Corpus Linguistic. We show the use of modern Data Mining by developing efficient and effective methods for research and teaching in Corpus Linguistics in the fields of lexicography and semantics. Modern language resources as they are provided by Common Language Resources and Technology Infrastructure (http://clarin.eu) offer a large number of heterogeneous information resources of written language. Besides large text corpora, additional information about the sources or publication date of the documents from the corpora are available. Further, information about words from dictionaries or WordNets offer prior information of the word distributions. Starting with pre-studies in lexicography and semantics with large text corpora, we investigate the use of latent variable methods to extract hidden concepts in large text collections. We show that these hidden concepts correspond to meanings of words and subjects in text collections. This motivates an investigation of ...
Keyword: 004; Automatische Sprachanalyse; Computerunterstützte Lexikografie; Corpus linguistics; Data Mining; Korpuslinguistik; Natural language processing; RapidMiner; WordNet
URL: https://dx.doi.org/10.17877/de290r-17781
https://eldorado.tu-dortmund.de/handle/2003/35753
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Automatic methods to extract latent meanings in large text corpora
BASE
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4
Combining a rule-based approach and machine learning in a good-example extraction task for the purpose of lexicographic work on contemporary standard German
In: Electronic lexicography in the 21st century: linking lexical data in the digital age. Proceedings of the eLex 2015 conference, 11 - 13 August 2015, Herstmonceux Castle, United Kingdom (2015), 21-31
IDS OBELEX meta
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5
Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses
In: Electronic lexicography in the 21st century: linking lexical data in the digital age. Proceedings of the eLex 2015 conference, 11 - 13 August 2015, Herstmonceux Castle, United Kingdom (2015), 304-314
IDS OBELEX meta
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6
Using data mining and the CLARIN infrastructure to extend corpus-based linguistic research
Bartz, Thomas; Pölitz, Christian; Morik, Katharina. - : Linköping Univ. Electronic Press, 2015
BASE
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7
Investigation of word senses over time using linguistic corpora
BASE
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8
Mining corpora of computer-mediated communication: Analysis of linguistic features in Wikipedia talk pages using machine learning methods
In: Workshop proceedings of the 12th edition of the Konvens Conference (2014), 42-47
IDS Bibliografie zur Gesprächsforschung
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9
Mining corpora of computer-mediated communication: Analysis of linguistic features in Wikipedia talk pages using machine learning methods
BASE
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10
Mining corpora of computer-mediated communication: analysis of linguistic features in Wikipedia talk pages using machine learning methods [Online resource]
IDS-Repository
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