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arXiv · 1906.07591

Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features

Julien Rossi·Matthias Wirth·Evangelos Kanoulas
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Abstract

This paper describes a new method to extract relevant keywords from patent claims, as part of the task of retrieving other patents with similar claims (search for prior art). The method combines a qualitative analysis of the writing style of the claims with NLP methods to parse text, in order to represent a legal text as a specialization arborescence of terms. In this setting, the set of extracted keywords are yielding better search results than keywords extracted with traditional methods such as tf-idf. The performance is measured on the search results of a query consisting of the extracted keywords.

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Julien Rossi, Matthias Wirth, Evangelos Kanoulas. 2019-06-18. Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features. https://arxiv.org/abs/1906.07591

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