Graph Neural Networks for end-to-end information extraction from handwritten documents

Domain:

natural language processing

Record type:

paperposter

Graph Neural Networks for end-to-end information extraction from handwritten documents

Poster presented at the Deep Learning Indaba 2023 by yessine khanfir

Visit

storage.googleapis.com

Tasks

information extraction

Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition

Dialect identification (DID) is a special case of general language identification (LID), but a more

End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning

A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning

Subword tokenization is a commonly used input pre-processing step in most recent NLP models. However

End-to-End Deep Learning Framework for Arabic Handwritten Legal Amount Recognition and Digital Courtesy Conversion

Arabic handwriting recognition and conversion are crucial for financial operations, particularly for

Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition

International audience —Automatic Speech Recognition can be considered as a transcrip