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Báo cáo khoa học: "Qualitative Modeling of Spatial Prepositions and Motion Expressions"

The ability to understand spatial prepositions and motion in natural language will enable a variety of new applications involving systems that can respond to verbal directions, map travel guides, display incident reports, etc., providing for enhanced information extraction, question-answering, information retrieval, and more principled text to scene rendering. | Qualitative Modeling of Spatial Prepositions and Motion Expressions Inderjeet Mani Children s Organization of Southeast Asia Thailand inderjeet.mani@gmail.com James Pustejovsky Computer Science Department Brandeis University Waltham MA UsA jamesp@cs.brandeis.edu The ability to understand spatial prepositions and motion in natural language will enable a variety of new applications involving systems that can respond to verbal directions map travel guides display incident reports etc. providing for enhanced information extraction question-answering information retrieval and more principled text to scene rendering. Until now however the semantics of spatial relations and motion verbs has been highly problematic. This tutorial presents a new approach to the semantics of spatial descriptions and motion expressions based on linguistically interpreted qualitative reasoning. Our approach allows for formal inference from spatial descriptions in natural language while leveraging annotation schemes for time space and motion along with machine learning from annotated corpora. We introduce a compositional semantics for motion expressions that integrates spatial primitives drawn from qualitative calculi. No previous exposure to the semantics of spatial prepositions or motion verbs is assumed. The tutorial will sharpen cross-linguistic intuitions about the interpretation of spatial prepositions and motion constructions. The attendees will also learn about qualitative reasoning schemes for static and dynamic spatial information as well as three annotation schemes TimeML SpatialML and ISO-Space for time space and motion respectively. While both cognitive and formal linguistics have examined the meaning of motion verbs and spatial prepositions these earlier approaches do not yield precise computable representations that are expressive enough for natural languages. However the previous literature makes it clear that communica 1 tion of motion relies on imprecise and highly abstract .