This paper presents a method of improving the accuracy of subcategorization frames (SCFs) acquired from corpora to augment existing lexicon resources. I estimate a confidence value of each SCF using corpus-based statistics, and then perform clustering of SCF confidencevalue vectors for words to capture cooccurrence tendency among SCFs in the lexicon. I apply my method to SCFs acquired from corpora using lexicons of two large-scale lexicalized grammars