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Gesture features for coreference resolution (2006)

Abstract
Abstract. If gesture communicates semantics, as argued by many psychologists, then it should be relevant to bridging the gap between syntax and semantics in natural language processing. One benchmark problem for computational semantics is coreference resolution: determining whether two noun phrases refer to the same semantic entity. Focusing on coreference allows us to conduct a quantitative analysis of the relationship between gesture and semantics, without having to explicitly formalize semantics through an ontology. We introduce a new, smallscale video corpus of spontaneous spoken-language dialogues, from which we have used computer vision to automatically derive a set of gesture features. The relevance of these features to coreference resolution is then discussed. An analysis of the timing of these features also enables us to present new findings on gesture-speech synchronization. 1

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.8551
Source http://rationale.csail.mit.edu/publications/Eisenstein2006GestureFeatures.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.94.4250, 10.1.1.107.4247, 10.1.1.87.2887, 10.1.1.101.3326