Event-Centered Information Retrieval Using Kernels on Event Graphs

Goran Glavašš, Jan Šnajder · 2013

Traditional information retrieval models assume keyword-based queries and use unstructured document representations.There is an abundance of event-centered texts (e.g., breaking news) and event-oriented information needs that often involve structure that cannot be expressed using keywords.We present a novel retrieval model that uses a structured event-based representation.We structure queries and documents as graphs of event mentions and employ graph kernels to measure the query-document similarity.Experimental results on two event-oriented test collections show significant improvements over state-ofthe-art keyword-based models.

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