Text Simplification of Patent Documents - Automated Invention for Smart Industries18th International TRIZ Future Conference, TFC 2018 Access content directly
Conference Papers Year : 2018

Text Simplification of Patent Documents


This paper represents an automatic text simplification system for patent documents. The simplification system is embedded in the broader context of an information retrieval system which extracts IDM related knowledge from patent documents. Extracting elements of IDM ontology from patents involves training machine-learning model. However, an accuracy of the model is compromised when the given text is too long, hence the need of simplifying the texts to improve machine learning. There have been precedent studies on automatic text simplification based on hand-written rules or statistical approach. However, few researches addressed simplifying patent documents. Patent document has its particularity in its lengthy sentences and multiword expression terminology, which often hinder accurate parsing. Therefore, in this research, we present our method to automatically simplify texts of patent documents and scientific papers by analyzing their syntactic and lexical patterns.
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Dates and versions

hal-02279758 , version 1 (05-09-2019)





Jeongwoo Kang, Achille Souili, Denis Cavallucci. Text Simplification of Patent Documents. 18th TRIZ Future Conference (TFC), Oct 2018, Strasbourg, France. pp.225-237, ⟨10.1007/978-3-030-02456-7_19⟩. ⟨hal-02279758⟩
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