SpaceRef: A corpus of street-level geographic descriptions

Jana Götze, Johan Boye


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:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/L16-1605.pdf