Vol-3001
urn:nbn:de:0074-3001-9

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

STSS 2021
Shared Task on Scene Segmentation @ KONVENS 2021

Proceedings of the Shared Task on Scene Segmentation
co-located with the 17th Conference on Natural Language Processing (KONVENS 2021)

Düsseldorf, Germany, September 6th, 2021.

Edited by

Albin Zehe *
Leonard Konle *
Lea Dümpelmann
Evelyn Gius
Svenja Guhr
Andreas Hotho *
Fotis Jannidis *
Lucas Kaufmann *
Markus Krug *
Frank Puppe *
Nils Reiter *
Annekea Schreiber

* University of Würzburg, Würzburg, Germany

** TU Darmstadt, Darmstadt, Germany

*** University of Cologne, Cologne, Germany

**** Heidelberg University, Heidelberg, Germany

Table of Contents

Task Description Paper

Shared Task on Scene Segmentation @ KONVENS 2021 1-21
Albin Zehe, Leonard Konle, Svenja Guhr, Lea Dümpelmann, Evelyn Gius, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber

System Description Papers

Detecting Scenes in Fiction Using the Embedding Delta Signal 22-28
Felix Schneider, Björn Barz, Joachim Denzler
LTUHH@STSS: Applying Coreference to Literary Scene Segmentation 29-34
Hans Ole Hatzel, Chris Biemann
Scene Segmentation Using Temporal, Spatial and Entity Feature Vectors 35-41
Florian Barth, Tillmann Dönicke
Twin BERT Contextualized Sentence Embedding Space Learning and Gradient-Boosted Decision Tree Ensembles for Scene Segmentation in German Literature 42-48
Sebastian Gombert
Breaking the Narrative: Scene Segmentation through Sequential Sentence Classification 49-53
Murathan Kurfali, Mats Wirén

2021-10-26: submitted by Albin Zehe, metadata incl. bibliographic data published under Creative Commons CC0
2021-11-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|