文件名称:
用于问题回答系统的段落打分 Passage Scoring for Question answering
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文件大小: 87kb
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上传时间: 2011-11-15
详细说明: Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers, and answer extractors in complex and ad-hoc ways. We seek to make QA systems reproducible with shared and modest human effort, carefully separating knowledge from algorithms. To this end, we propose an aesthetically “clean” Bayesian inference scheme for exploiting lexical relations for passage-scoring for QA . The factors which contribute to the efficac y of Bayesian Inferencing on lexical relations are soft word sense disambiguation, parameter smoothing which ameliorates the data sparsity problem and estimation of joint probability over words which overcomes ...展开收缩
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