Bibliograph.
Daten | Burkovski, Andre; Heidemann, Gunther; Hamidreza, Kobdani; Schütze, Hinrich: Methods for Coreference Visualization and Annotation.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Technischer Bericht Informatik Nr. 2010/09.
32 Seiten, englisch.
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| CR-Klassif. | H.3.3 (Information Search and Retrieval)
H.5.2 (Information Interfaces and Presentation User Interfaces)
I.2.7 (Natural Language Processing)
I.5.1 (Pattern Recognition Models)
I.5.4 (Pattern Recognition Applications)
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| Keywords | coreference resolution visualization self organizing maps |
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| Kurzfassung | In this report we present methods for visualization of coreferences. We use Self Organizing Maps, graph-based models, and text-based techniques to visualize coreference information from a pair-wise model and offer an interactive presentation of the feature space. We introduce our software system and several visualizations of the Self Organizing Map. The visualizations enable the user to explore the feature space, provide insights for feature engineering and allow a fast annotation of data with coreference information.
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Volltext und
andere Links | PDF (51609932 Bytes)
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| Kontakt | Senden Sie eine E-Mail an andre.burkovski@vis.uni-stuttgart.de |
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| Abteilung(en) | Universität Stuttgart, Institut für Visualisierung und Interaktive Systeme, Intelligente Systeme
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| Eingabedatum | 4. Januar 2011 |
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