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Document Analysis and Recognition - ICDAR 2023

17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Gernot A. Fink

    1. TU Dortmund University, Dortmund, Germany

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  2. Rajiv Jain

    1. Adobe, College Park, USA

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  3. Koichi Kise

    1. Osaka Metropolitan University, Osaka, Japan

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  4. Richard Zanibbi

    1. Rochester Institute of Technology, Rochester, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14189)

Included in the following conference series:

Conference proceedings info: ICDAR 2023.

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About this book

This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations.

The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.


Keywords

Table of contents (30 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Posters: Document NLP

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Evaluation of Different Tagging Schemes for Named Entity Recognition in Handwritten Documents

      • David Villanova-Aparisi, Carlos-D. Martínez-Hinarejos, Verónica Romero, Moisés Pastor-Gadea
      Pages 3-16

    3. Analyzing the Impact of Tokenization on Multilingual Epidemic Surveillance in Low-Resource Languages

      • Stephen Mutuvi, Emanuela Boros, Antoine Doucet, Gaël Lejeune, Adam Jatowt, Moses Odeo
      Pages 17-32

    4. DAMGCN: Entity Linking in Visually Rich Documents with Dependency-Aware Multimodal Graph Convolutional Network

      • Yi-Ming Chen, Xiang-Ting Hou, Dong-Fang Lou, Zhi-Lin Liao, Cheng-Lin Liu
      Pages 33-47

    5. Analyzing Textual Information from Financial Statements for Default Prediction

      • Chinesh Doshi, Himani Shrotiya, Rohit Bhiogade, Himanshu S. Bhatt, Abhishek Jha
      Pages 48-65

    6. RealCQA: Scientific Chart Question Answering as a Test-Bed for First-Order Logic

      • Saleem Ahmed, Bhavin Jawade, Shubham Pandey, Srirangaraj Setlur, Venu Govindaraju
      Pages 66-83

    7. An Iterative Graph Learning Convolution Network for Key Information Extraction Based on the Document Inductive Bias

      • Jiyao Deng, Yi Zhang, Xinpeng Zhang, Zhi Tang, Liangcai Gao
      Pages 84-97

    8. QuOTeS: Query-Oriented Technical Summarization

      • Juan Ramirez-Orta, Eduardo Xamena, Ana Maguitman, Axel J. Soto, Flavia P. Zanoto, Evangelos Milios
      Pages 98-114

    9. A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents

      • Solenn Tual, Nathalie Abadie, Joseph Chazalon, Bertrand Duménieu, Edwin Carlinet
      Pages 115-131

    10. “Explain Thyself Bully”: Sentiment Aided Cyberbullying Detection with Explanation

      • Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya
      Pages 132-148

    11. LayoutGCN: A Lightweight Architecture for Visually Rich Document Understanding

      • Dengliang Shi, Siliang Liu, Jintao Du, Huijia Zhu
      Pages 149-165

    12. Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark

      • Jiangyi Lin, Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li
      Pages 166-183

    13. Detecting Forged Receipts with Domain-Specific Ontology-Based Entities & Relations

      • Beatriz Martínez Tornés, Emanuela Boros, Antoine Doucet, Petra Gomez-Krämer, Jean-Marc Ogier
      Pages 184-199

    14. CED: Catalog Extraction from Documents

      • Tong Zhu, Guoliang Zhang, Zechang Li, Zijian Yu, Junfei Ren, Mengsong Wu et al.
      Pages 200-215

    15. A Character-Level Document Key Information Extraction Method with Contrastive Learning

      • Xinpeng Zhang, Jiyao Deng, Liangcai Gao
      Pages 216-230

    16. Multimodal Rumour Detection: Catching News that Never Transpired!

      • Raghvendra Kumar, Ritika Sinha, Sriparna Saha, Adam Jatowt
      Pages 231-248

    17. Semantic Triple-Assisted Learning for Question Answering Passage Re-ranking

      • Dinesh Nagumothu, Bahadorreza Ofoghi, Peter W. Eklund
      Pages 249-264

    18. I-WAS: A Data Augmentation Method with GPT-2 for Simile Detection

      • Yongzhu Chang, Rongsheng Zhang, Jiashu Pu
      Pages 265-279

    19. Information Redundancy and Biases in Public Document Information Extraction Benchmarks

      • Seif Laatiri, Pirashanth Ratnamogan, Joël Tang, Laurent Lam, William Vanhuffel, Fabien Caspani
      Pages 280-294
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Other volumes

  1. Document Analysis and Recognition - ICDAR 2023

  2. Document Analysis and Recognition - ICDAR 2023

  3. Document Analysis and Recognition - ICDAR 2023

  4. Document Analysis and Recognition - ICDAR 2023

  5. Document Analysis and Recognition - ICDAR 2023

  6. Document Analysis and Recognition - ICDAR 2023

  7. Document Analysis and Recognition – ICDAR 2023 Workshops

  8. Document Analysis and Recognition – ICDAR 2023 Workshops

Editors and Affiliations

  • TU Dortmund University, Dortmund, Germany

    Gernot A. Fink

  • Adobe, College Park, USA

    Rajiv Jain

  • Osaka Metropolitan University, Osaka, Japan

    Koichi Kise

  • Rochester Institute of Technology, Rochester, USA

    Richard Zanibbi

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