Query-Specific Knowledge Summarization with Entity Evolutionary NetworksEI

摘要

Given a query, unlike traditional IR that finds relevant documents or entities, in this work, we focus on retrieving both entities and their connections for insightful knowledge summarization. For example, given a query "computer vision'' on a CS literature corpus, rather than returning a list of relevant entities like "cnn'', "imagenet'' and "svm'', we are interested in the connections among them, and furthermore, the evolution patterns of such connections along particular ordinal dimensions such as time. Particularly, we hope to pro...更多

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pp. 2121-2124, 2019.

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