TY - CHAP A1 - Baumann, Timo A1 - Hussein, Hussein A1 - Meyer-Sickendiek, Burkhard T1 - Analysing the Focus of a Hierarchical Attention Network: the Importance of Enjambments When Classifying Post-modern Poetry T2 - Proceedings of Interspeech, 2018, Hyderabad N2 - After overcoming the traditional metrics, modern and postmodern poetry developed a large variety of ‘free verse prosodies’ that falls along a spectrum from a more fluent to a more disfluent and choppy style. We present a method, grounded in philological analysis and theories on cognitive (dis)fluency, to analyze this ‘free verse spectrum’ into six classes of poetic styles as well as to differentiate three types of poems with enjambments. We use a model for automatic prosodic analysis of spoken free verse poetry which uses deep hierarchical attention networks to integrate the source text and audio and predict the assigned class. We then analyze and fine-tune the model with a particular focus on enjambments and in two ways: we drill down on classification performance by analyzing whether the model focuses on similar traits of poems as humans would, specifically, whether it internally builds a notion of enjambment. We find that our model is similarly good as humans in finding enjambments; however, when we employ the model for classifying enjambment-dominated poem types, it does not pay particular attention to those lines. Adding enjambment labels to the training only marginally improves performance, indicating that all other lines are similarly informative for the model. KW - digital humanities KW - free verse poetry KW - prosodic analysis KW - enjambment detection KW - hierarchical attention network Y1 - 2018 U6 - https://doi.org/10.21437/Interspeech.2018-2533 SP - 2162 EP - 2166 ER - TY - CHAP A1 - Baumann, Timo A1 - Hussein, Hussein A1 - Meyer-Sickendiek, Burkhard A1 - Elbeshausen, Jasper ED - Draude, Claude ED - Lange, Martin ED - Sick, Bernhard T1 - A Tool for Human-in-the-Loop Analysis and Exploration of (not only) Prosodic Classifications for Post-modern Poetry T2 - Informatik 2019 : 50 Jahre Gesellschaft für Informatik Workshop-Beiträge Fachtagung vom 23.-26. September 2019 in Kassel N2 - Data-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. KW - classification KW - data mining KW - free verse poetry KW - human-in-the-loop KW - rhythmical patterns Y1 - 2019 UR - https://dl.gi.de/bitstream/handle/20.500.12116/25047/paper03_08.pdf?sequence=1&isAllowed=y SN - 978-3-88579-689-3 SP - 151 EP - 156 PB - Gesellschaft für Informatik CY - Bonn ER -