A method for extracting data from semis-tructured documents

K.A. Kudim, G.Yu. Proskudina


Linguistic method to solve the problem of data extraction from weakly structured documents is developed, approved, and described in detail in the paper. Sample data were taken from thesis catalogue of Vernadsky National Library of Ukraine. The sequence of all stages is described: document collection choice; document preparation; writing grammar rules for data extraction from text; writing rules for morphology verification; creation of interpretations or bindings rules to data; analysis of parsing results. Linguistic method of data extraction showed many advantages in comparison to the method of data extraction with regular expressions described earlier.

Problems in programming 2020; 1: 25-32


weakly structured documents; information extraction; linguistic analyzer; syntactic analyzer; morphological analysis; context-free grammar


KUDIM K.A., PROSKUDINA G.YU. (2019). Methods and tools for extracting personal data from theses abstracts Problems in programming. [online – pp.isofts.kiev.ua] (2). P. 38–46. (in Russian). Available from: http://pp.isofts.kiev.ua/ojs1/ article/view/359 [Accessed 6/05/2019]. CrossRef

RUBAILO A.V., KOSENKO M.Y. Software tools for information extraction from natural-language texts. Almanac of modern science and education. № 12 (114) 2016. P.87-92. (in Russian). http://scjournal.ru /articles/issn_1993-5552_2016_12_23.pdf

KUKUSHKIN A. Natasha - a library for extracting structured information from texts in Russian.(in Russian).


EARLEY J. An efficient context-free parsing algorithm, Communications of the Association for Computing Machinery, 13:2:94-102, 1970. CrossRef

DOI: https://doi.org/10.15407/pp2020.01.025


  • There are currently no refbacks.