发明名称 Credibility of text analysis engine performance evaluation by rating reference content
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.
申请公布号 US9524281(B2) 申请公布日期 2016.12.20
申请号 US201213477730 申请日期 2012.05.22
申请人 International Business Machines Corporation 发明人 Grabarnik Genady;Kozakov Lev;Shwartz Larisa
分类号 G06F17/00;G06F17/24;G06F17/30 主分类号 G06F17/00
代理机构 代理人 Lammes Francis;Walder, Jr. Stephen J.;Hobson Mercedes L.
主权项 1. A method, in a data processing system, for evaluating the performance of a text analysis engine, the method comprising: receiving a plurality of pre-annotated reference documents; receiving a set of annotation types associated with the pre-annotated reference documents; analyzing annotation contexts of reference annotations in the plurality of pre-annotated reference documents using the set of annotation types; identifying similar annotation contexts between the reference annotations and the set of annotation types; responsive to identifying the similar annotation contexts, clustering the similar annotation contexts thereby forming a plurality of reference annotation clusters; computing a set of reference content heterogeneity scores based on the number of reference annotation clusters for each annotation type in the set of annotation types; computing an integral reference content rate for the set of annotation types; and outputting the integral reference content rate to a user.
地址 Armonk NY US