Vol-3000⫷ Vol-3001 ⫸Vol-3002
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 |