Exploring Text Recombination for Automatic Narrative Level Detection

Reiter N, Sieker J, Guhr S, Gius E, Zarrieß S (2022)
In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA): 3346-3353.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Reiter, Nils; Sieker, JudithUniBi; Guhr, Svenja; Gius, Evelyn; Zarrieß, SinaUniBi
Abstract / Bemerkung
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. In this work, we focus on the identification of narrative levels in texts corresponding to stories that can be embedded (stories within stories) or otherwise coordinated within narratives. Lacking sufficient pre-annotated training data, we explore a solution to deal with data scarcity that is common in machine learning: the automatic augmentation of an existing small data set of annotated samples with the help of data synthesis. We present a workflow for narrative level detection, that includes the operationalization of the task, a model and a data augmentation protocol for automatically generating narrative texts annotated with breaks between narrative levels. Our experiments suggest that narrative levels in long text constitute a challenging phenomenon for state-of-the-art NLP models, but generating training data synthetically does improve the prediction results considerably.
Erscheinungsjahr
2022
Titel des Konferenzbandes
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)
Seite(n)
3346-3353
Konferenz
13th Language Resources and Evaluation Conference
Konferenzort
Marseille
Konferenzdatum
2022-06-20 – 2022-06-25
ISBN
79-10-95546-72-6
Page URI
https://pub.uni-bielefeld.de/record/2965490

Zitieren

Reiter N, Sieker J, Guhr S, Gius E, Zarrieß S. Exploring Text Recombination for Automatic Narrative Level Detection. In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA); 2022: 3346-3353.
Reiter, N., Sieker, J., Guhr, S., Gius, E., & Zarrieß, S. (2022). Exploring Text Recombination for Automatic Narrative Level Detection. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3346-3353. European Language Resources Association (ELRA).
Reiter, Nils, Sieker, Judith, Guhr, Svenja, Gius, Evelyn, and Zarrieß, Sina. 2022. “Exploring Text Recombination for Automatic Narrative Level Detection”. In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3346-3353. European Language Resources Association (ELRA).
Reiter, N., Sieker, J., Guhr, S., Gius, E., and Zarrieß, S. (2022). “Exploring Text Recombination for Automatic Narrative Level Detection” in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (European Language Resources Association (ELRA), 3346-3353.
Reiter, N., et al., 2022. Exploring Text Recombination for Automatic Narrative Level Detection. In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA), pp. 3346-3353.
N. Reiter, et al., “Exploring Text Recombination for Automatic Narrative Level Detection”, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), European Language Resources Association (ELRA), 2022, pp.3346-3353.
Reiter, N., Sieker, J., Guhr, S., Gius, E., Zarrieß, S.: Exploring Text Recombination for Automatic Narrative Level Detection. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). p. 3346-3353. European Language Resources Association (ELRA) (2022).
Reiter, Nils, Sieker, Judith, Guhr, Svenja, Gius, Evelyn, and Zarrieß, Sina. “Exploring Text Recombination for Automatic Narrative Level Detection”. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA), 2022. 3346-3353.
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2022-09-02T06:12:42Z
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34f162e594d481421d93b820f8778f91


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