Title:	EXTRACTION OF STRUCTURAL ELEMENTS OF INVENTIONS FROM RUSSIAN-LANGUAGE PATENTS
Author(s):	Dmitriy M. Korobkin, Sergey S. Vasiliev, Sergey A. Fomenkov and Vladimir I. Lobeyko
ISBN:	978-989-8533-92-0
Editors:	Ajith P. Abraham and Jörg Roth
Year:	2019
Edition:	Single
Keywords:	Patents, Information Extraction, SAO, Claims, CAI-Systems, Shallow Parsing
Type:	Full Paper
First Page:	159
Last Page:	166
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	The paper investigates the issue of extracting structured data from Russian-language patents in the field of new technical solution synthesis. The predicate-argument constructions that characterize the composition of the structural elements of the inventions and the relations between them are the extracted entities. The paper also analyses existing natural language processing tools as applied to patent processing. The authors have offered a new method for extracting predicate-argument constructs taking into account the specificity of the text of patents based on shallow parsing and segmentation of sentences. The value of the F1 metric with a rigorous and lax evaluation of data extraction is 63% and 79%, respectively, which suggests that the proposed approach is promising. The extracted structures are used to construct the graph of the structural elements of the invention.
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