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Patent Claim Structure Recognition

Hackl-Sommer, René; Schwantner, Michael

Abstract:
In patents, the claims section is the most relevant part. It is written in a legal jargon, containing independent and dependent claims, forming a hierarchy. We present our work aimed at automatically identifying that hierarchy within complete patent claim texts. Beginning with a short introduction into patent claims and typical use cases for searching in claims, we proceed to show results from a preliminary context analysis with English claims from the European Patents Fulltext (EPFULL) database. We point out some possibilities with which claim dependency is indicated in the text and show a way of identifying them. Additionally, we describe several of the problems encountered, in particular problems resulting from noisy data. Finally, we show results from our internal evaluations, in which accuracies greater than 93% were measured. We also indicate areas of further research.


Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator DOI: 10.5445/KSP/1000058749/17
ISSN: 2363-9881
URN: urn:nbn:de:swb:90-699367
KITopen ID: 1000069936
Erschienen in Archives of Data Science, Series A (Online First)
Band 2
Heft 1
Seiten 15 S. online
Lizenz CC BY-SA 4.0: Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International
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