Abstract
This article describes SPACEREF, a corpus of street-level geographic descriptions. Pedestrians are walking a route in a (real) urban environment, describing their actions. Their position is automatically logged, their speech is manually transcribed, and their references to objects are manually annotated with respect to a crowdsourced geographic database. We describe how the data was collected and annotated, and how it has been used in the context of creating resources for an automatic pedestrian navigation system.- Anthology ID:
- L16-1605
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 3822–3827
- Language:
- URL:
- https://aclanthology.org/L16-1605
- DOI:
- Cite (ACL):
- Jana Götze and Johan Boye. 2016. SpaceRef: A corpus of street-level geographic descriptions. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3822–3827, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- SpaceRef: A corpus of street-level geographic descriptions (Götze & Boye, LREC 2016)
- PDF:
- https://preview.aclanthology.org/naacl24-info/L16-1605.pdf