E-grāmata: Document Analysis and Recognition - ICDAR 2023 Workshops: San Jose, CA, USA, August 24-26, 2023, Proceedings, Part II

Typefaces and Ligatures in Printed Arabic Text: A Deep Learning-Based
OCR Perspective.- Leveraging Knowledge Graph Embeddings to Enhance Contextual
Representations for Relation Extraction.- Extracting Key-Value Pairs in
Business Documents.- Long-Range Transformer Architectures for Document
Understanding.-Pre-training transformers  for Corporate Documents
Understanding.- Transformer-Based Neural Machine Translation for Post-OCR
Error Correction in Cursive Text.- Arxiv Tables: Document Understanding
Challenge Linking Texts and Tables.- Subgraph-Induced Extraction Technique
for Information (SETI) from Administrative Documents.- Document Layout
Annotation: Database and Benchmark in the Domain of Public Affairs.- A
Clustering Approach Combining Lines and Text Detection for Table Extraction.-
Absformer: Transformer-Based Model for Unsupervised Multi-Document
Abstractive Summarization.- A Comparison of Demographic Attributes Detection
from Handwriting Based on Traditional and Deep Learning Methods.- A New
Optimization Approach to Improve an Ensemble Learning Model: Application to
Persian/Arabic Handwritten Character Recognition.- BN-DRISHTI: Bangla
Document Recognition Through Instance-level Segmentation of Handwritten Text
Images.- Text Line Detection and Recognition of Greek Polytonic Documents.- A
Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet.-
Local Style Awareness of Font Images.- Fourier Feature-Based CBAM and Vision
Transformer for Text Detection in Drone Images.- Document Binarization with
Quaternionic Double Discriminator Generative Adversarial Network.-
Crosslingual Handwritten Text Generation Using GANs.- Knowledge Integration
inside Multitask Network for Analysis of Unseen ID Types.