Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters
Georg Rehm, Julian Moreno Schneider, Peter Bourgonje, Ankit Srivastava, Jan Nehring, Armin Berger, Luca König, Sören Räuchle, Jens Gerth
Abstract
We present an approach at identifying a specific class of events, movement action events (MAEs), in a data set that consists of ca. 2,800 personal letters exchanged by the German architect Erich Mendelsohn and his wife, Luise. A backend system uses these and other semantic analysis results as input for an authoring environment that digital curators can use to produce new pieces of digital content. In our example case, the human expert will receive recommendations from the system with the goal of putting together a travelogue, i.e., a description of the trips and journeys undertaken by the couple. We describe the components and architecture and also apply the system to news data.- Anthology ID:
- W17-2707
- Volume:
- Proceedings of the Events and Stories in the News Workshop
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Tommaso Caselli, Ben Miller, Marieke van Erp, Piek Vossen, Martha Palmer, Eduard Hovy, Teruko Mitamura, David Caswell
- Venue:
- EventStory
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 42–51
- Language:
- URL:
- https://aclanthology.org/W17-2707
- DOI:
- 10.18653/v1/W17-2707
- Cite (ACL):
- Georg Rehm, Julian Moreno Schneider, Peter Bourgonje, Ankit Srivastava, Jan Nehring, Armin Berger, Luca König, Sören Räuchle, and Jens Gerth. 2017. Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters. In Proceedings of the Events and Stories in the News Workshop, pages 42–51, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters (Rehm et al., EventStory 2017)
- PDF:
- https://preview.aclanthology.org/ingest-2024-clasp/W17-2707.pdf