期刊文献+

基于特征融合的社区问答问句相似度计算 被引量:1

Question Similarity Calculation Based on Feature Fusion in Community Question Answering
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摘要 提出了一种基于特征融合的问句匹配框架来解决问句相似度检测方法,利用答案特征、词序特征、统计特征和语义特征相结合来解决问句相似度计算问题.在Yahoo!Answers上抽取的真实标注数据集上进行实验,实验结果表明:该方法在性能上得到了较好的结果. A testing method based on the framework combining different features with the characteristic of the answer,the word order characteristic,the statistical characteristic and semantic characteristic is proposed to caculate question simularity of question answering.The experiments on the true labeling dataset extracted from the Yahoo! Answers shows that the proposed method achieves a better performance.
出处 《江西师范大学学报(自然科学版)》 CAS 北大核心 2013年第2期125-129,共5页 Journal of Jiangxi Normal University(Natural Science Edition)
基金 国家自然科学基金(61272370 60973068) 辽宁省自然科学基金(201202031)资助项目
关键词 问句相似度 社区问答 相似度计算 特征融合 questions similarity community question answering similarity calculation feature fusion
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