发明名称 |
Methods of evaluating semantic differences, methods of identifying related sets of items in semantic spaces, and systems and computer program products for implementing the same |
摘要 |
One aspect of the invention provides a method of evaluating semantic differences between a first item in a first semantic space and a second item in a second semantic space. The method includes: calculating a first ordered list of N nearest neighbors of the first item within the first semantic space; calculating a second ordered list of N nearest neighbors of the second item within the second semantic space; and computing a plurality of similarity measures between the first n nearest neighbors of the first item and the first n nearest neighbors of the second item, wherein n and N are positive integers and 1≦n≦N. |
申请公布号 |
US9158841(B2) |
申请公布日期 |
2015.10.13 |
申请号 |
US201213523442 |
申请日期 |
2012.06.14 |
申请人 |
The University of Memphis Research Foundation |
发明人 |
Hu Xiangen;Cai Zhiqiang;Graesser Arthur C.;Craig Scotty |
分类号 |
G06F7/00;G06F17/30;G06F17/27 |
主分类号 |
G06F7/00 |
代理机构 |
Mintz Levin Cohn Ferris Glovsky and Popeo, P.C. |
代理人 |
Mintz Levin Cohn Ferris Glovsky and Popeo, P.C. ;Corless Peter F.;Säve Carolina E. |
主权项 |
1. A method of identifying a first set of items from a first semantic space that are semantically related to a second set of items from a second semantic space, the method comprising:
generating an induced semantic space for the first semantic space, the induced semantic space represented as a square matrix in which each matrix entry (i, j) is a numeric representation of an association strength between item i and item j in the first set of items; setting matrix entries below a defined replacement threshold to 0; selecting e items having the highest value entries from the j columns; ranking the e items by association strength entry values; selecting n items having the highest value entries from the e items; calculating a similarity measure between each of the n items selected from the first semantic space and each of the n items selected from the second semantic space; and calculating an aggregate similarity value from the similarity measures between each of the n items selected from the first semantic space and each of the n items selected from the second semantic space. |
地址 |
Memphis TN US |