Efficiently representing word sense probabilities
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United States of America Patent
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Oct 2, 2012
Grant Date -
Apr 9, 2009
app pub date -
Aug 29, 2008
filing date -
Aug 31, 2007
priority date (Note) -
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Abstract
Word sense probabilities are compressed for storage in a semantic index. Each word sense for a word is mapped to one of a number of “buckets” by assigning a bucket score to the word sense. A scoring function is utilized to assign the bucket scores that maximizes the entropy of the assigned bucket scores. Once the bucket scores have been assigned to the word senses, the bucket scores are stored in the semantic index. The bucket scores stored in the semantic index may be utilized to prune one or more of the word senses prior to construction of the semantic index. The bucket scores may also be utilized to prune and rank the word senses at the time a query is performed using the semantic index.
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