发明授权
US09524281B2 Credibility of text analysis engine performance evaluation by rating reference content
有权
文本分析引擎性能评估的可信度通过评级参考内容
- 专利标题: Credibility of text analysis engine performance evaluation by rating reference content
- 专利标题(中): 文本分析引擎性能评估的可信度通过评级参考内容
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申请号: US13477730申请日: 2012-05-22
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公开(公告)号: US09524281B2公开(公告)日: 2016-12-20
- 发明人: Genady Grabarnik , Lev Kozakov , Larisa Shwartz
- 申请人: Genady Grabarnik , Lev Kozakov , Larisa Shwartz
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理商 Francis Lammes; Stephen J. Walder, Jr.; Mercedes L. Hobson
- 主分类号: G06F17/00
- IPC分类号: G06F17/00 ; G06F17/24 ; G06F17/30
摘要:
Evaluating the performance of a text analysis engine is provided. A plurality of pre-annotated reference documents and a set of annotation types associated with the pre-annotated reference documents are received. Annotation contexts of reference annotations in the plurality of pre-annotated reference documents are analyzed using the set of annotation types. Similar annotation contexts are identified between the reference annotations and the set of annotation types. Responsive to identifying the similar annotation contexts, the similar annotation contexts are clustered thereby forming a plurality of reference annotation clusters. A set of reference content heterogeneity scores are computed based on the number of reference annotation clusters for each annotation type in the set of annotation types. An integral reference content rate for the set of annotation types is then computed and output to a user.
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