DAS-Discussion: Information Extraction (2014)

Back to DAS-Discussion:Index

Last updated: 2015-001-02

DAS Working Subgroup Meeting: Information Extraction

Authors:

• Nibal Nayef

Participants:

• Yoshinori AKAO (Japanese police)
• Saddok KEBAIRI (Itesoft)
• Manaba OHTA
• Xin TAO
• Ronaldo MESSINA (a2ia)
• Nibal NAYEF (me !)
• Bao

Introduction

We have totally different views of information extraction Different tasks:

• Entity spotting (numbers, words, ….)
• Graphics spotting (logos, symbols, tables etc.)
• Semantics after text recognition
• Logical structure

What is a document ??!!

We have many types of documents [and increasing]:

• Digitally born documents
• Camera / mobile captured
• Scanned

..

To extract any kind of information from any type of document, we need a sort of “prerequisite” module, so that IE modules can work on all document types

Problems of IE

• What kind of semantic information should we extract?: Technical terms, ….
• Define the logical structure of a document
• Same information in different representations: Same name in different languages
• What are the ground truth data, size of training data?: Use human voting to build GT
• Ultimate goal: Automatic and complete understanding of document contents.
• Application: Enrich Data Mining

Approaches

CRF, NLP, and all methods for word/graphic spotting

Future Directions

Combine methods from different fields:

• Image processing
• Natural language processing

Take into account that documents are drastically changing