TY - JOUR
T1 - Evaluating mass knowledge acquisition using the ALICE chatterbot
T2 - The AZ-ALICE dialog system
AU - Schumaker, Robert P.
AU - Liu, Ying
AU - Ginsburg, Mark
AU - Chen, Hsinchun
N1 - Funding Information:
This work was supported in part by the NSF, ITR: “COPLINK Center for Intelligence and Security Informatics Research” Sept. 1, 2003–Aug. 31, 2005.
PY - 2006/11
Y1 - 2006/11
N2 - In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot responses to see if distributed learning from a web environment can succeed. This experiment looks at dividing knowledge into general conversation and domain specific categories for which we have selected telecommunications. It was found that subject participation in knowledge acquisition can contribute a significant improvement to both the conversational and telecommunications knowledge bases. We further found that participants were more satisfied with domain-specific responses rather than general conversation.
AB - In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot responses to see if distributed learning from a web environment can succeed. This experiment looks at dividing knowledge into general conversation and domain specific categories for which we have selected telecommunications. It was found that subject participation in knowledge acquisition can contribute a significant improvement to both the conversational and telecommunications knowledge bases. We further found that participants were more satisfied with domain-specific responses rather than general conversation.
UR - http://www.scopus.com/inward/record.url?scp=33748742791&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33748742791&partnerID=8YFLogxK
U2 - 10.1016/j.ijhcs.2006.06.008
DO - 10.1016/j.ijhcs.2006.06.008
M3 - Article
AN - SCOPUS:33748742791
SN - 1071-5819
VL - 64
SP - 1132
EP - 1140
JO - International Journal of Human Computer Studies
JF - International Journal of Human Computer Studies
IS - 11
ER -