We address the challenge of enriching plain text dramas with predicted TEI/XML elements. We use a large corpus of dramas annotated with TEI information about act/scene changes, speaker changes, and stage directions, among others. On this data, we fine-tune a pre-trained BERT transformer model on several subtasks, like predicting stage directions vs. utterances. We show that the used architecture is able to predict the learned structural elements on unseen data for several settings and models.
@inproceedings{ Pagel2021ab,
Title = {{Predicting Structural Elements in German Drama}},
Author = { Janis Pagel and Nidhi Sihag and Nils Reiter },
Booktitle = {{Proceedings of the Second Conference on Computational Humanities Research}},
Month = { November },
Year = { 2021 }
}
TY -
TI - Predicting Structural Elements in German Drama
AU - Janis Pagel
AU - Nidhi Sihag
AU - Nils Reiter
PY - 2021
J2 - Proceedings of the Second Conference on Computational Humanities Research
ER -