[1]杨海天,王健,林鸿飞.基于特征融合的社区问答问句相似度计算[J].江西师范大学学报(自然科学版),2013,(02):125-129.
 YANG Hai-tian,WANG Jian,LIN Hong-fei.Question Similarity Calculation Based on Feature Fusion in Community Question Answering[J].,2013,(02):125-129.
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基于特征融合的社区问答问句相似度计算()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年02期
页码:
125-129
栏目:
出版日期:
2013-03-01

文章信息/Info

Title:
Question Similarity Calculation Based on Feature Fusion in Community Question Answering
作者:
杨海天;王健;林鸿飞
大连理工大学信息检索研究室,辽宁大连,116024
Author(s):
YANG Hai-tian;WANG Jian;LIN Hong-fei
关键词:
问句相似度社区问答相似度计算特征融合
Keywords:
questions similaritycommunity question answeringsimilarity calculationfeature fusion
分类号:
TP391
文献标志码:
A
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.
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金(61272370,60973068);辽宁省自然科学基金(201202031)
更新日期/Last Update: 1900-01-01