NDLI: Estimation of Objective Scores of Answer Statements Posted at Q&A Sites

Content Provider	IEEE Xplore Digital Library
Author	Yokoyama, Y. Hochin, T. Nomiya, H.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Sci., Kyoto Inst. of Technol., Kyoto, Japan (Yokoyama, Y.; Hochin, T.; Nomiya, H.)
Abstract	To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&A) sites, we have clarified the characteristics of the question and answer statements. It has been shown that the impression of the statements could be captured by nine factors, and the factor scores could be estimated from the feature values of the statements. Here, the objective scores of answer statements are provided. This paper tries to estimate the objective scores of answer statements through multiple regression analysis. They are estimated from the factor scores estimated by using multiple regression formulas already obtained. Absolute values of the differences between the factor scores of answer statements and those of question ones, those of the answer statements having the highest scores, and those of the ones having the lowest ones, are used as the explanatory variables. It is shown that objective scores of the objective statements could be estimated fairly good, and that those of subjective statements could be estimated well by taking the natural logarithm of the factor scores.
Sponsorship	IEEE Comput. Soc.
Starting Page	426
Ending Page	431
File Size	335178
Page Count	6
File Format	PDF
ISBN	9780769550053
DOI	10.1109/SNPD.2013.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	objective score multiple regression analysis Good Answer Artificial intelligence Distributed computing factor score Software engineering Question & Answer site
Content Type	Text
Resource Type	Article

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