Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
For social science researchers, content analysis and classification of United States Congressional legislative activities has been time consuming and costly. The Library of Congre...
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given sour...
— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
Many information retrieval systems use the inverted file as indexing structure. The inverted file, however, is not suited to supporting incremental updates when new documents are ...