Abstract: Patent has become an important knowledge resource for conceptual design on account of its innovation and practicability. Information extraction of structure technical solution from product patent is a basic work. Aiming at mechanical product patent, conceptual model of technical solution for patent information extraction, which meets the requirement of conceptual design knowledge, is described. The task of information extraction is composed of two parts： technical components extraction and technical relations extraction. Moreover, construction of knowledge base for information extraction is studied. Using non-deterministic finite state automata the technical components are extracted. Based on frame semantics, patent verb semantic frame library is built for technical relations extraction. Further, the process of information extraction of technical solution based on natural language understanding is put forward. Key techniques of shallow parsing and semantic parsing are also studied. The deployment of U.S.A patent is illuminated. Results show that the method can automatically extract the patent information of structure technical solution and assist deep application of patent in the conceptual design.

Key words: Frame semantics, Information extraction, Non-deterministic finite state automata, Patent, Technical solution