Multi-label Patent Classification at NTT Communication Science Laboratories
Akinori Fujino, Hideki Isozaki · NTCIR · 2007
We design a multi-label classification system based on the combination of binary classifications for classification subtask at NTCIR-6 Patent Retrieval Task. In our system, we design a binary classifier per Fterm that determines the assignment of the F-term to patent documents. Hybrid classifiers are employed as binary classifiers so that the multiple components of patent documents are used effectively. The hybrid classifiers are constructed by combining component generative models with weights based on the maximum entropy principle. Using a test collection of Japanese patent documents, we confirmed that our system provided good ranking of F-terms as regards assigning them to patent documents.