Haruki Imai, Kumiko Maeda, et al.
ITSC 2013
Frequently-asked-question (FAQ) systems are effective in operating and reducing costs of IT services. Basically, FAQ data preparation requires data curation of available heterogeneous question-and-answer (QA) data sets and creating FAQ clusters. We identified that the labor intensiveness of data curation is a major problem and that it strongly affects the final FAQ output quality. To deal with this problem, we designed a FAQ creation system with a strong focus on the effectiveness of its data-curation component. We conducted a field study by inspecting two sources: incident reports and a QA forum. The first source of incident reports showed a high F-score of 89.9% (precision: 82.5%, recall: 100%). We also applied the same set of parameters to 300 entries of the QA forum and achieved an F-score of 94.3% (precision: 94.9%, recall: 93.8%).
Haruki Imai, Kumiko Maeda, et al.
ITSC 2013
Michael Desmond, Honglei Guo, et al.
IBM J. Res. Dev
Yuji Watanabe, Akira Koseki
SOLI 2014
Kazuaki Ishizaki, Ken Mizuno, et al.
Annual Haifa Experimental Systems Conference 2010