QURMA: A TABLE EXTRACTION PIPELINE FOR KNOWLEDGE BASE POPULATION

QURMA: A TABLE EXTRACTION PIPELINE FOR KNOWLEDGE BASE POPULATION

In this paper, we propose a pipeline aimed at automatically extracting tables from heterogeneousWeb sources, such as HTML pages, pdf files and images. Table extraction is one of the activelydeveloping areas of Information Extraction, for which many applications, libraries and frameworksare currently...

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Bibliographic Details
Main Authors: A. B. Nugumanova, K. S. Apayev, Y. M. Baiburin, M. Mansurova, A. G. Ospan
Format: Article
Language:English
Published: Al-Farabi Kazakh National University 2022-06-01
Series:Вестник КазНУ. Серия математика, механика, информатика
Subjects:
web-tables
table extraction
table recognition
table understanding
knowledge base population
Online Access:https://bm.kaznu.kz/index.php/kaznu/article/view/1086/664

Internet

https://bm.kaznu.kz/index.php/kaznu/article/view/1086/664

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