WYSIWYE: An Algebra for Expressing Spatial and Textual Rules for Visual Information Extraction

06/28/2015
by   Vijil Chenthamarakshan, et al.
0

The visual layout of a webpage can provide valuable clues for certain types of Information Extraction (IE) tasks. In traditional rule based IE frameworks, these layout cues are mapped to rules that operate on the HTML source of the webpages. In contrast, we have developed a framework in which the rules can be specified directly at the layout level. This has many advantages, since the higher level of abstraction leads to simpler extraction rules that are largely independent of the source code of the page, and, therefore, more robust. It can also enable specification of new types of rules that are not otherwise possible. To the best of our knowledge, there is no general framework that allows declarative specification of information extraction rules based on spatial layout. Our framework is complementary to traditional text based rules framework and allows a seamless combination of spatial layout based rules with traditional text based rules. We describe the algebra that enables such a system and its efficient implementation using standard relational and text indexing features of a relational database. We demonstrate the simplicity and efficiency of this system for a task involving the extraction of software system requirements from software product pages.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/08/2022

Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features

While storing invoice content as metadata to avoid paper document proces...
research
09/09/2020

Development of a Predictive Process Design kit for15-nm FinFETs: FreePDK15

FinFETs are predicted to advance semiconductorscaling for sub-20nm devic...
research
07/12/2021

Inscriptis – A Python-based HTML to text conversion library optimized for knowledge extraction from the Web

Inscriptis provides a library, command line client and Web service for c...
research
07/14/2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

Building document-grounded dialogue systems have received growing intere...
research
01/20/2017

LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books

A semi-automatic open-source tool for layout analysis on early printed b...
research
01/31/2022

POTATO: exPlainable infOrmation exTrAcTion framewOrk

We present POTATO, a task- and languageindependent framework for human-i...
research
10/13/2022

A Relational Macrostate Theory Guides Artificial Intelligence to Learn Macro and Design Micro

The high-dimesionality, non-linearity and emergent properties of complex...

Please sign up or login with your details

Forgot password? Click here to reset