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Device and method for name disambiguation clustering

A name and clustering technology, applied in special data processing applications, instruments, calculations, etc., can solve problems such as difficult text collections to achieve ideal clustering effects, so as to improve the final clustering effect, reduce the deviation of the clustering effect, and improve the automatic adaptive effect

Inactive Publication Date: 2012-09-05
FUJITSU LTD
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Problems solved by technology

Therefore, if a fixed threshold is used for clustering, it is difficult to achieve an ideal clustering effect for text sets with different similarity characteristics

Method used

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  • Device and method for name disambiguation clustering
  • Device and method for name disambiguation clustering
  • Device and method for name disambiguation clustering

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Embodiment Construction

[0018] Embodiments of the present invention will be described below with reference to the drawings. It should be noted that representation and description of components and processes that are not related to the present invention and known to those of ordinary skill in the art are omitted from the drawings and descriptions for the purpose of clarity.

[0019] figure 1 is a block diagram showing the configuration of an apparatus for performing data processing on a name training set according to an embodiment of the present invention.

[0020] Such as figure 1 As shown, the apparatus 100 for performing data processing on the name training set includes a representative similarity determination unit 110 , a preferred similarity threshold selection unit 120 and a function fitting unit 130 .

[0021] Each name training set in the name training set to be processed by the apparatus 100 includes a plurality of texts for the same name, and the clustering relationship of the plurality o...

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Abstract

The invention provides a device and a method for name disambiguation clustering. The device for data processing on a name training set comprises the following units: a representative similarity determination unit for determining the representative similarity of the name training set, wherein the representative similarity is a representative value of the inter-textual similarity in the name training set; a preferable similarity threshold selection unit for clustering the name training set by using different similarity thresholds so as to select the similarity threshold which makes the clustering effect better as the preferable similarity threshold; and a function fitting unit for fitting a function which represents the corresponding relation between the representative similarity and the preferable similarity threshold according to the representative similarity and the preferable similarity threshold of each name training set in at least two name training sets.

Description

technical field [0001] The invention relates to name disambiguation clustering, in particular to a device and method for name disambiguation clustering using dynamic thresholds. Background technique [0002] Name disambiguation is a recently emerging research direction. Name disambiguation is proposed for the name ambiguity phenomenon caused by the same name (person name, place name, organization name, etc.) being used by multiple entities in reality. At present, most name disambiguation schemes use the method of text clustering . For example, when using a search engine to search for a certain name, a large number of webpages containing the name are returned as search results D={d 1 , d 2 ,...,d n}, the names in these webpages may point to different entities in reality, the purpose of clustering is to aggregate the text collections composed of these webpages into several categories according to different entities C={c 1 , c 2 ,...,c m}, where each class c i Correspon...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王新文夏迎炬孟遥张姝贾文杰于浩
Owner FUJITSU LTD
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