以深度學習協助發明人生成專利範圍

Abstract

專利申請是所有創新創意發明人所必須經歷的過程，透過專利申請才能保障發明者的正當權益，每一位創新發明者需向經濟部智慧財產局提出申請，只要經過經濟部智慧財產局的審核通過，即可保障專利權所有者在一定期間享有專有排除他人未經其同意而使用該方法及使用、販賣之要約，此法律權益對於發明者來說是一大保障。 然而，在專利申請的過程中，專利範圍的內容是影響專利是否通過的關鍵因素，因此許多發明人會透過專業代辦解決專利範圍的撰寫問題。為了幫助發明人可以快速完成專利的申請，以期能夠帶動台灣的創新創意發明，本研究旨在利用機器學習的方式，透過 GPT-2 智慧生成專利範圍，用以解決發明人對於專利範圍無法掌握撰寫要領的問題，生成的結果之 BERTscore 達到0.68。 本研究亦提出一套評估模型，可以對「專利摘要」與「專利範圍」的關係與品質進行評分，除了可以作為 GPT-2 生成模型之結果的衡量參考，也可以度量發明人撰寫之「專利範圍」的質量。

Filling a patent for the invention is an essential process for an inventor. Through legal guarantee, it protects the right which an inventor can possess. Each inventor can propose their patent application through Intellectual Property Office, Ministry of Economic Affairs. Once the application has been approved, the inventor may exclude illegal uses of the invention during the patent’s valid period. This legal protection somehow establishes a sound environment for innovations and creations. A core factor that affects the outcome of a patent application is the patent claims. Therefore, many inventors may seek help from a professional agency to compose feasible patent claims. In order to assist inventors and boost up the efficiency of patent applications, this research focuses on utilizing machine learning and using the GPT-2 model to generate patent claims. The result achieves 0.68 in BERTscore. We also propose an evaluation method to assess the relation level and quality between ‘patent abstract’ and ‘patent claim’. In addition to providing a metric for evaluating patent claims generated from the GPT-2 model, our method also enables inventors to evaluate the quality of their claims.