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DataFunTalk

Jun 29, 2024 · Artificial Intelligence

Document Intelligence in the Financial Sector: Technologies, Challenges, and Future Directions

This presentation reviews the technical scope of document intelligence, its specific applications and challenges in finance, recent advances in document analysis, recognition, and understanding, and outlines future research directions for large‑model and multimodal solutions in processing complex financial documents.

Document AILarge Modelsdeep learning

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Document Intelligence in the Financial Sector: Technologies, Challenges, and Future Directions

AntTech

Nov 15, 2023 · Artificial Intelligence

Reading Order Matters: Information Extraction from Visually‑rich Documents by Token Path Prediction

The paper identifies reading‑order disorder as a critical obstacle in visually‑rich document information extraction, proposes a Token Path Prediction model with grid‑label formulation, introduces re‑annotated FUNSD‑r and CORD‑r datasets, and demonstrates SOTA performance on NER, entity linking, and reading‑order prediction tasks.

Document AINERlayout analysis

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Reading Order Matters: Information Extraction from Visually‑rich Documents by Token Path Prediction

Laiye Technology Team

May 18, 2022 · Artificial Intelligence

Overview of Document Intelligence Models: StrucText, LayoutLMv3, and GraphDoc

This article reviews three representative document intelligence models—StrucText, LayoutLMv3, and GraphDoc—detailing their input features, feature fusion strategies, self‑supervised tasks, and underlying architectures, and explains how they learn embeddings for segments, words, or regions to enable classification and key‑value extraction.

Document AIGraph Neural Networkslayout analysis

0 likes · 15 min read

Overview of Document Intelligence Models: StrucText, LayoutLMv3, and GraphDoc