Abstract:

Patent summaries are condensed representation of the patents, and if  patent summaries are divided by using their contents, the corresponding patents will be more accurately positioned. Because the length of each patent summary is too short and there are no signs between two different contents, the traditional text segmentation methods cannot be used. In this paper, the problem of text segmentation of a patent summary was changed into sentence classification, and the classification algorithms attempted to solve the problem. The effects of solving the problem with different classification algorithms and different features were analyzed, and the results proved that the segmentation method of the patent summaries by using the methods of sentence classification is feasible.

Key words: patent summary; text segmentation; sentence unit; classification algorithm; part of speech