Not logged in : Login
(Sponging disallowed)

About: Automatic Information Extraction from Electronic Documents using Machine Learning     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : bibo:AcademicArticle, within Data Space : linkeddata.uriburner.com:28898 associated with source document(s)

AttributesValues
type
seeAlso
sameAs
http://eprints.org/ontology/hasAccepted
http://eprints.org/ontology/hasDocument
dc:hasVersion
Title
  • Automatic Information Extraction from Electronic Documents using Machine Learning
described by
Date
  • 2021-12-06
Creator
status
Publisher
abstract
  • The digital processing of electronic documents is widely exploited across many domains to improve the efficiency of information extraction. However, paper documents are still largely being used in practice. In order to process such documents, a manual procedure is used to inspect them and extract the values of interest. As this task is monotonous and time consuming, it is prone to introduce human errors during the process. In this paper, we present an efficient and robust system that automates the aforementioned task by using a combination of machine learning techniques: optical character recognition, object detection and image processing techniques. This not only speeds up the process but also improves the accuracy of extracted information compared to a manual procedure.
Is Part Of
Subject
list of authors
presented at
volume
  • 13101
is topic of
is primary topic of
Faceted Search & Find service v1.17_git144 as of Jul 26 2024


Alternative Linked Data Documents: iSPARQL | ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3331 as of Aug 25 2024, on Linux (x86_64-ubuntu_noble-linux-glibc2.38-64), Single-Server Edition (378 GB total memory, 16 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software