Difference between revisions of "NewsEntry (2022/11/22)2"

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|title=2 researchers from LRE at Seminar on IA at DGFIP
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|title=Joseph Chazalon and Edwin Carlinet from LRE at Seminar on IA at DGFIP
 
|subtitle=At the Seminar on Automatic Information Extraction in Administrative Forms organized by [https://www.economie.gouv.fr/dgfip Public Finance General Directorate (DGFIP)] Joseph Chazalon and Edwin Carlinet from LRE presented the challenges and perspectives of data extraction in documents. After a review of the limitations of traditional document analysis techniques, they introduced recent advances brought by the latest deep-learning methods, and the new problems they enable to solve.
 
|subtitle=At the Seminar on Automatic Information Extraction in Administrative Forms organized by [https://www.economie.gouv.fr/dgfip Public Finance General Directorate (DGFIP)] Joseph Chazalon and Edwin Carlinet from LRE presented the challenges and perspectives of data extraction in documents. After a review of the limitations of traditional document analysis techniques, they introduced recent advances brought by the latest deep-learning methods, and the new problems they enable to solve.
 
|date=2022/11/22
 
|date=2022/11/22

Revision as of 18:45, 13 December 2022

Title Joseph Chazalon and Edwin Carlinet from LRE at Seminar on IA at DGFIP
Sub-Title At the Seminar on Automatic Information Extraction in Administrative Forms organized by Public Finance General Directorate (DGFIP) Joseph Chazalon and Edwin Carlinet from LRE presented the challenges and perspectives of data extraction in documents. After a review of the limitations of traditional document analysis techniques, they introduced recent advances brought by the latest deep-learning methods, and the new problems they enable to solve.
Date 2022/11/22