Computer Science ›› 2016, Vol. 43 ›› Issue (1): 94-97.doi: 10.11896/j.issn.1002-137X.2016.01.022

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Research on Multi-features Hierarchical Answer Quality Evaluation Method

CUI Min-jun, DUAN Li-guo and LI Ai-ping   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Social media question-answer pairs can provide the answer to the automatic question and answering system,but the quality about some of the answers is not so high.So the evaluation method of answer quality has the research value.The existing evaluation methods without considering the problem of question types feature use the uniform evaluation method for different question types.This paper presented a hierarchical classification model.Firstly we analyzed the types of question,and then extracted four features of text,non-text,language translation,number of links in the answer.According to this objective phenomenon that the influence of feature classification varies with the types of different questions,we used logistic regression algorithm to evaluate various types of answer quality based on these features,achieving good results.Finally the main features that influence the anawer quality of all kinds of questions were analyzed.

Key words: Hierarchical classification model,Question types,Answer quality evaluation,Feature analysis

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