no code implementations • LREC 2022 • Nils Reiter, Judith Sieker, Svenja Guhr, Evelyn Gius, Sina Zarrieß
Automatizing the process of understanding the global narrative structure of long texts and stories is still a major challenge for state-of-the-art natural language understanding systems, particularly because annotated data is scarce and existing annotation workflows do not scale well to the annotation of complex narrative phenomena.
no code implementations • CRAC (ACL) 2021 • Janis Pagel, Nils Reiter
These mentions are assigned to common entities using generic and domain-specific rules.
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.
no code implementations • LREC 2020 • Janis Pagel, Nils Reiter
In this paper, we present an annotated corpus of German dramatic texts, a preliminary analysis of the corpus as well as some baseline experiments on automatic CR.
no code implementations • COLING 2018 • Ina Roesiger, Sarah Schulz, Nils Reiter
As some of the adaptations have profound impact, we also present a new annotation tool for coreference, with a focus on enabling annotation of long texts with many discourse entities.
no code implementations • WS 2017 • Andre Blessing, Nora Echelmeyer, Markus John, Nils Reiter
This paper presents an approach to extract co-occurrence networks from literary texts.