Events » Berlin 2018 » Programme

Plotting Poetry 2

Bringing Deep Learning to Computational Poetry Analysis

12-14 Sept. 2018 – Freie Universität Berlin

Programme

9.00–⁠9.30	welcome
9.30–11.00	AUTOMATION AND INTERPRETATION Is Topic Modeling Poetry Possible? Christoph Schöch Universität Trier Verhaeren's Constrained Free Verse Anne-Sophie Bories Universität Basel
11.00–⁠11.30	coffee break
11.30–13.00	RHYME DETECTION Supervised Rhyme Detection with Siamese Recurrent Networks Thomas Haider Max Planck Institute, Frankfurt The Automatic Detection of Russian Rhyme David Birnbaum University of Pittsburgh
13.00–⁠14.30	lunch
14.30–16.00	HANDS-ON TRAINING SESSION ON TOPIC MODELING Exploring on English Poetry Corpus Arthur Jacobs Freie Universität Berlin
16.00–⁠16.30	coffee break
16.30–	On Covering the Gap between Computation and Humanities keynote lecture Alexander Mehler University of Regensburg

9.30–11.00	METRICAL ANALYSIS Meter, Rhyme, Rhythm of La Fontaine's Fables Valerie Beaudouin Télécom-ParisTech Metrical Analyses of Dutch Poetry for the Purpose of Genre and Authorship Analysis Mike Kestemont, Wouter Haverals Universiteit Antwerpen
11.00–⁠11.30	coffee break
11.30–13.00	DEEP LEARNING Tractable Data Journalism Using Deep Learning Kristian Kersting TU Darmstadt Challengesfor the Application of Neural Networksin Computational Poetry Analysis Fotis Jannidis Universität Würzburg
13.00–⁠14.30	lunch
14.30–16.00	STYLOMETRY Automatic Author Recognition Petr Plecháč¹, Klemens Bobenhausen², Benjamin Hammerich³ ¹Czech Academy of Sciences, ²independent, ³ETH Zürich Historical Stylometry Gabriel Viehhauser Universität Stuttgart
16.00–⁠16.30	coffee break
16.30–	In faith, I do not love thee with mine eyes, for they in theea thousand error note - Literature and Computation keynote lecture Jonas Kuhn Universität Stuttgart

9.30–11.00

MACHINE-AIDED CLOSE LISTENING

Machine-Aided Close Listening: The Pennsound Corpus

Chris Mustazza

University of Pennsylvania

Analyzing the Spectrum of Free Verse Poetry: The Lyrikline-Corpus

Burkhard Meyer-Sickendiek

Freie Universität Berlin

11.00–⁠11.30

coffee break

11.30–13.00

HANDS-ON TRAINING SESSION ON MACHINE LEARNING IN POETRY ANALYSIS

Iterative Human-in-the-Loop Processing for Data-Driven Philological Understanding of Poetry

Timo Baumann¹, Hussein Hussein²

¹Carnegie Mellon University, Pittsburh, USA , ²Freie Universität Berlin