Crowdsourcing Street-level Geographic Information Using a Spoken Dialogue System
2014 (English)In: Proceedings of the SIGDIAL 2014 Conference, 2014Conference paper (Refereed)
We present a technique for crowd-sourcing street-level geographic information using spoken natural language. In particular, we are interested in obtaining first-person-view information about what can be seen from different positions in the city. This information can then for example be used for pedestrian routing services. The approach has been tested in the lab using a fully implemented spoken dialogue system, and is showing promising results.
Place, publisher, year, edition, pages
Computer Science Language Technology (Computational Linguistics)
IdentifiersURN: urn:nbn:se:kth:diva-158157OAI: oai:DiVA.org:kth-158157DiVA: diva2:774985
15th Annual Meeting of the Special Interest Group on Discourse and Dialogue - SIGdial, Philadelphia, U.S.A., 18-20 June 2014
QC 201504102014-12-302014-12-302015-04-10Bibliographically approved