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dc.contributor.authorBaumann, Timo
dc.contributor.authorHussein, Hussein
dc.contributor.authorMeyer-Sickendiek, Burkhard
dc.contributor.authorElbeshausen, Jasper
dc.contributor.editorDraude, Claude
dc.contributor.editorLange, Martin
dc.contributor.editorSick, Bernhard
dc.date.accessioned2019-08-27T13:00:15Z
dc.date.available2019-08-27T13:00:15Z
dc.date.issued2019
dc.identifier.isbn978-3-88579-689-3
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/25047
dc.description.abstractData-based analyses are becoming more and more common in the Digital Humanities and tools are needed that focus human efforts on the most interesting and important aspects of exploration, analysis and annotation by using active machine learning techniques. We present our ongoing work on a tool that supports classification tasks for spoken documents (in our case: read-out post-modern poetry) using a neural networks-based classification backend and a web-based exploration and classification environment.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-295
dc.subjectdata mining
dc.subjecthuman-in-the-loop
dc.subjectclassification
dc.subjectfree verse poetry
dc.subjectrhythmical patterns
dc.titleA Tool for Human-in-the-Loop Analysis and Exploration of (not only) Prosodic Classifications for Post-modern Poetryen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages151-156
mci.conference.sessiontitleSoftware Engineering in den Digital Humanities
mci.conference.locationKassel
mci.conference.date23.-26. September 2019
dc.identifier.doi10.18420/inf2019_ws15


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