TY - GEN
T1 - Nonlinear nearest-neighbour matching and its application in legal precedent retrieval
AU - Wang, Ruili
AU - Zeng, Yiming
PY - 2005
Y1 - 2005
N2 - Case-Based Reasoning (CBR) has been widely and successfully applied in legal precedent retrieval. Traditional Nearest-Neighbour (NN) matching has shown that it is not capable of dealing with the situations that the values of weights or dimensional matching scores are extremely high or low. These extreme situations have nonlinear psychological effects on the aggregate marching scores. Generalized Nearest-Neighbour (GNN) matching improved NN matching in certain situations, but it is not generally applicable and it can cause an unexpected ranking. In order to improve the limitation of NN matching and complement the deficiency of GNN matching, we propose a novel Nonlinear Nearest-Neighbour (NNN) matching function based on the adjustments for nonlinear effects and the fuzzy logic inference. In this paper, we also describe how we apply NNN matching in our legal precedent retrieval system.
AB - Case-Based Reasoning (CBR) has been widely and successfully applied in legal precedent retrieval. Traditional Nearest-Neighbour (NN) matching has shown that it is not capable of dealing with the situations that the values of weights or dimensional matching scores are extremely high or low. These extreme situations have nonlinear psychological effects on the aggregate marching scores. Generalized Nearest-Neighbour (GNN) matching improved NN matching in certain situations, but it is not generally applicable and it can cause an unexpected ranking. In order to improve the limitation of NN matching and complement the deficiency of GNN matching, we propose a novel Nonlinear Nearest-Neighbour (NNN) matching function based on the adjustments for nonlinear effects and the fuzzy logic inference. In this paper, we also describe how we apply NNN matching in our legal precedent retrieval system.
UR - http://www.scopus.com/inward/record.url?scp=33646762463&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33646762463
SN - 0769523161
SN - 9780769523163
T3 - Proceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005
SP - 341
EP - 346
BT - Proceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005
T2 - 3rd International Conference on Information Technology and Applications, ICITA 2005
Y2 - 4 July 2005 through 7 July 2005
ER -