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CLT seminar: Simon Dobnik – Spatial descriptions on a functional-geometric spectrum: A data-driven investigation.

SEMINAR

We present a method of extracting functional semantic knowledge from corpora of descriptions of visual scenes. Such knowledge is required for interpretation and generation of spatial descriptions in tasks such as visual search. In the collostruction analysis (Dobnik and Kelleher, 2013) we estimate a log-likelihood ratio between a preposition and a target-landmark tuple which measures the strength of association between them. To determine their function-geometry bias we estimate the entropy of their target-landmark tokens. In (Dobnik and Kelleher, 2014) we identify semantic classes of target and landmark objects related by each preposition by abstracting over WordNet taxonomy. The inclusion of such knowledge in visual search should equip robots with a better, more human-like spatial cognition.

Simon Dobnik, Department of Philosophy, Linguistics, and Theory of Science, University of Gothenburg (joint work with John D. Kelleher, Dublin Institute of Technology, Ireland)

Dobnik, S. and Kelleher, J. (2014). Exploration of functional semantics of prepositions from corpora of descriptions of visual scenes. In Proceedings of the Third Workshop on Vision and Language, pages 33–37, Dublin, Ireland. Dublin City University and the Association for Computational Linguistics.

Dobnik, S. and Kelleher, J. D. (2013). Towards an automatic identification of functional and geometric spatial prepositions. In Proceedings of PRE-CogSsci 2013: Production of referring expressions - bridging the gap between cognitive and computational approaches to reference, pages 1–6, Berlin, Germany.

Date: 2015-01-29 10:30 - 12:00

Location: L307

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