Study of Automatic Abstracting Based on Corpus and Hierarchical Dictionary
基于语料库与层次词典的自动文摘研究

The study of automatic abstracting is a vital and practical information processing task in natural language processing,and becomes an important problem in domains such as Internet information retrieval.An approach based on corpus proposed by this paper provides an integration of the advantages of linguistic analysis based methods and those based on statistics.In essence,the basic idea of corpus-based method is at the expense of the cost of analysis outside the system to gain the efficiency of the algorithm inside the system.The algorithm given by the paper implements both keywording and abstracting while the former is based on a hierarchical dictionary and the latter on the corpus.