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Query Generation for Patent Retrieval with Keyword Extraction Based on Syntactic Features
Julien Rossi, Evangelos Kanoulas
210 - 214
10.3233/978-1-61499-935-5-210
Frontiers in Artificial Intelligence and Applications
Volume 313: Legal Knowledge and Information Systems
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 method such as tf-idf.

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