Indexing and retrieval performance: the logical evidence
Journal of the American Society for Information Science
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Cross-media entity recognition in nearly parallel visual and textual documents
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
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In many information retrieval and selection tasks it is valuable to score how much a text is about a certain entity and to compute how much the text discusses the entity with respect to a certain viewpoint. In this paper we are interested in giving an aboutness score to a text, when the input query is a person name and we want to measure the aboutness with respect to the biographical data of that person. We present a graph-based algorithm and compare its results with other approaches.