Search Results for author: Fotis Jannidis

Found 7 papers, 1 papers with code

Twenty-two Historical Encyclopedias Encoded in TEI: a New Resource for the Digital Humanities

1 code implementation COLING (LaTeCHCLfL, CLFL, LaTeCH) 2020 Thora Hagen, Erik Ketzan, Fotis Jannidis, Andreas Witt

This paper accompanies the corpus publication of EncycNet, a novel XML/TEI annotated corpus of 22 historical German encyclopedias from the early 18th to early 20th century.

Detecting Scenes in Fiction: A new Segmentation Task

no code implementations EACL 2021 Albin Zehe, Leonard Konle, Lea Katharina D{\"u}mpelmann, Evelyn Gius, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber, Nathalie Wiedmer

This paper introduces the novel task of scene segmentation on narrative texts and provides an annotated corpus, a discussion of the linguistic and narrative properties of the task and baseline experiments towards automatic solutions.

coreference-resolution Scene Segmentation +1


no code implementations LREC 2020 Annelen Brunner, Stefan Engelberg, Fotis Jannidis, Ngoc Duyen Tanja Tu, Lukas Weimer

This article presents corpus REDEWIEDERGABE, a German-language historical corpus with detailed annotations for speech, thought and writing representation (ST{\&}WR).

BIG-bench Machine Learning

Analyzing Features for the Detection of Happy Endings in German Novels

no code implementations28 Nov 2016 Fotis Jannidis, Isabella Reger, Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho

With regard to a computational representation of literary plot, this paper looks at the use of sentiment analysis for happy ending detection in German novels.

Sentiment Analysis

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