We describe our novel PatSeg method for patent segmentation, which aims at automatically and directly identifying the most important parts of a patent.

Recognizing chemicals in patents: a comparative analysis. M Habibi, DL ... Patseg: a sequential patent segmentation approach. M Habibi, A Rheinlaender ...

Our goal is to develop a robust and scalable segmentation tool for automatic structuring of the patent texts into pre-defined sections that will serve as a pre- ...

In this paper, an automated approach is presented, utilising Natural Language Processing (NLP) techniques to identify the invention working principle from the ...

This paper presents our approach to automatic patent enrichment, tested in ... PatSeg: A Sequential Patent Segmentation ApproachBig Data Research ...

Jun 24, 2021 · In this thesis we have evaluated methods for doing full-text searches in patent documents. The aim of patent searches is to find evidence ...

Moreover, few studies use a deep learning approach to handle the entire patent analysis process, ... Patseg: A sequential patent segmentation approach. Big Data ...

This paper gives insight into the current research on three text mining tools for patents designed for information professionals, which are used in the ...

It refers primarily to non-deep-learning machine learning approaches and introduces four main categories of analysis: knowledge management, technology ...

Habibi, Patseg: a sequential patent segmentation approach, Big Data Res., № 19–20, с. 100; Harhoff, Citations, family size, opposition and the value of ...