Dialogue systems for spatially situated tasks need to provide referential descriptions of spatially located objects and understand such descriptions from users. To construct such dialogue systems, it is useful to investigate how humans describe object locations in their immediate environment and how they ask about object locations in remote envi- ronments. In this paper, we address the semantic classification of the localization utterances found in the CReST corpus, which is a dialogue corpus of humans performing a cooperative, remote, search task. The aim is to explore the relation between specific semantic configurations and the dialogically and situationally embedded linguistic forms employed. Specifically, we first extracted different types of localization utterances from the corpus and then paired these with semantic categories pro- vided by the linguistically motivated spatial ontology GUM. The paper concludes with a discussion of the characteristics of different types of localization expressions on the basis of spatial concepts and descriptions employed.
@inproceedings{elahietal12pkar,
title={Classification of Localization Utterances using a Spatial Ontology},
author={Elahi, Mohammad and Shi, Hui and Bateman, John and Eberhard, Kathleen and Scheutz, Matthias},
year={2012},
booktitle={P-KAR International Workshop on Place-Related Knowledge Acquisition Research},
volume={881},
url={https://hrilab.tufts.edu/publications/elahietal12pkar.pdf}
}