Event-Centered Information Retrieval Using Kernels on Event Graphs (CROSBI ID 601816)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Glavaš, Goran ; Šnajder, Jan
engleski
Event-Centered Information Retrieval Using Kernels on Event Graphs
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.
Information retrieval; Event extraction; Graph kernels
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Podaci o prilogu
1-5.
2013.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-8) in conjunction with Conference on Empirical Methods in Natural Language Processing (EMNLP'13)
Seattle (WA):
Podaci o skupu
TextGraphs-8 at Empirical Methods in Natural Language Processing (EMNLP'13)
predavanje
18.10.2013-21.10.2013
Seattle (WA), Sjedinjene Američke Države