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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Automatic Resolution of Pronoun Coreference in Czech
 Košarko, Ondřej ; Mírovský, Jiří (advisor) ; Vidová Hladká, Barbora (referee)
Title: Automatic Resolution of Pronoun Coreference in Czech Author: Ondřej Košarko Department: ÚFAL MFF UK Supervisor: RNDr. Jiří Mírovský, Ph.D. Supervisor's e­mail address: mirovsky@ufal.mff.cuni.cz Abstract: The aim of this thesis is to introduce a procedure for automatic pronomial coreference resolution in Czech texts. The text is morphologically and analytically annotated acording to the system of Prague Dependency Treebank. The procedure uses a machine learning method; for its training a set of manually annotated data from Prague Dependency Treebank is used. Evaluation of the results is also part of this thesis. Keywords: pronomial coreference, automatic resolution, machine learning
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Coreference in Text
 Pecsők, Ján ; Vidová Hladká, Barbora (advisor) ; Novák, Michal (referee)
The goal of this bachelor thesis is to explore possibilities of searching coreference with a rule-based approach employing the morphological and syntactical information. The coreference visualization and rule evaluation present a key part of the thesis. The application Koreferencie has been developed and it provides the environment for the coreference visualization, creation and evaluation of the rules. A number of rules have been formulated and evaluated and they are described in details in the thesis. In the last part there is user and programmer documentation.
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Automatic Resolution of Pronoun Coreference in Czech
 Košarko, Ondřej ; Mírovský, Jiří (advisor) ; Vidová Hladká, Barbora (referee)
Title: Automatic Resolution of Pronoun Coreference in Czech Author: Ondřej Košarko Department: ÚFAL MFF UK Supervisor: RNDr. Jiří Mírovský, Ph.D. Supervisor's e­mail address: mirovsky@ufal.mff.cuni.cz Abstract: The aim of this thesis is to introduce a procedure for automatic pronomial coreference resolution in Czech texts. The text is morphologically and analytically annotated acording to the system of Prague Dependency Treebank. The procedure uses a machine learning method; for its training a set of manually annotated data from Prague Dependency Treebank is used. Evaluation of the results is also part of this thesis. Keywords: pronomial coreference, automatic resolution, machine learning
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