关键词: 信息抽取, 自举, 序列比对, 语义相似度

Abstract: Acquisition of the attribute information of concepts can help in constructing relationships among them and further improving performance of applications such as information retrieval based on concept.This paper addresses on how to extract attribute information from a machine readable dictionary.A system named DAE（Dictionary Attribute Extractor） is also implemented.DAE，which is based on bootstrapping，extracts patterns and tuples iteratively.In extraction of patterns，it makes use of sequence alignment of bioinformatics.When generalizing patterns，semantic similarity of words and synonym extension are used to make the patterns more selective.In experiment，the system extracts attributes of functionality，color and composition which give good results.

Key words: information extraction, bootstrapping, sequence alignment, semantic similarity