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Automatic Text Summarization of Patent Documents

Gustafsson, Elin LU (2020) EITM01 20202
Department of Electrical and Information Technology
Abstract
This thesis investigates Automatic Text Summarization and how it can be used to generate summaries of patent documents. The purpose of the generated summary was to convey the patent document’s subject so that the reader could decide whether the patent document is relevant and should be read in full or could be discarded. This, in order to reduce the time patent attorneys need to spend reading full patent documents in their daily work.

A summarizing tool using Extraction-based summarization, and a Graph-based ranking method was implemented and tested. Summaries were generated from ten patent descriptions using the implemented tool. Each summary was also evaluated using human evaluation. The method showed very promising results in... (More)
This thesis investigates Automatic Text Summarization and how it can be used to generate summaries of patent documents. The purpose of the generated summary was to convey the patent document’s subject so that the reader could decide whether the patent document is relevant and should be read in full or could be discarded. This, in order to reduce the time patent attorneys need to spend reading full patent documents in their daily work.

A summarizing tool using Extraction-based summarization, and a Graph-based ranking method was implemented and tested. Summaries were generated from ten patent descriptions using the implemented tool. Each summary was also evaluated using human evaluation. The method showed very promising results in summarizing patent descriptions. In addition, the results highlighted some areas of improvement for future work. (Less)
Please use this url to cite or link to this publication:
author
Gustafsson, Elin LU
supervisor
organization
course
EITM01 20202
year
type
H2 - Master's Degree (Two Years)
subject
keywords
automatic text summarization, patent documents, natural language processing, extraction-based summarization, PageRank, legal tech
report number
LU/LTH-EIT 2020-798
language
English
id
9033080
date added to LUP
2021-01-13 14:04:00
date last changed
2021-01-13 14:04:00
@misc{9033080,
  abstract     = {{This thesis investigates Automatic Text Summarization and how it can be used to generate summaries of patent documents. The purpose of the generated summary was to convey the patent document’s subject so that the reader could decide whether the patent document is relevant and should be read in full or could be discarded. This, in order to reduce the time patent attorneys need to spend reading full patent documents in their daily work.

A summarizing tool using Extraction-based summarization, and a Graph-based ranking method was implemented and tested. Summaries were generated from ten patent descriptions using the implemented tool. Each summary was also evaluated using human evaluation. The method showed very promising results in summarizing patent descriptions. In addition, the results highlighted some areas of improvement for future work.}},
  author       = {{Gustafsson, Elin}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Automatic Text Summarization of Patent Documents}},
  year         = {{2020}},
}