We propose a method for linking entities in a stream of short textual documents that takes into account context both inside a document and inside the history of documents seen so far. Our method uses a generic optimization framework for combining several entity ranking functions, and we introduce a global control function to control optimization. Our results demonstrate the effectiveness of combining entity ranking functions that take into account context, which is further boosted by 6% when we use an informed global control function. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Voskarides, N., Odijk, D., Tsagkias, M., Weerkamp, W., & De Rijke, M. (2014). Query-dependent contextualization of streaming data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8416 LNCS, pp. 706–712). Springer Verlag. https://doi.org/10.1007/978-3-319-06028-6_80
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