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Creators/Authors contains: "Mirrezaei, Seyed Iman"

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  1. ; ; (, 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems)
    This paper describes TRIPLEX-ST, a novel information extraction system for collecting spatio-temporal information from textual resources. TRIPLEX-ST is based on a distantly supervised approach, which leverages rich linguistic annotations together with information in existing knowledge bases. In particular, we leverage triples associated with temporal and/or spatial contexts, e.g., as available from the YAGO knowledge base, so as to infer templates that capture new facts from previously unseen sentences. 
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