DAS-Discussion: Information Extraction (2014)

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== 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 (France)
* 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