SOTAVerified

Key Information Extraction

Key Information Extraction (KIE) is aimed at extracting structured information (e.g. key-value pairs) from form-style documents (e.g. invoices), which makes an important step towards intelligent document understanding.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 74 papers

TitleStatusHype
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table RecognitionCode0
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table RecognitionCode0
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language ModelsCode0
PaddleOCR 3.0 Technical ReportCode0
PP-StructureV2: A Stronger Document Analysis SystemCode0
GeoLayoutLM: Geometric Pre-training for Visual Information ExtractionCode0
GraphRevisedIE: Multimodal Information Extraction with Graph-Revised NetworkCode0
ICDAR2019 Competition on Scanned Receipt OCR and Information ExtractionCode0
Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural NetworkCode0
Spatial Dual-Modality Graph Reasoning for Key Information ExtractionCode0
Information Redundancy and Biases in Public Document Information Extraction BenchmarksCode0
Class-Agnostic Region-of-Interest Matching in Document ImagesCode0
DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-LoopCode0
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and DissertationsCode0
XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form ParserCode0
See then Tell: Enhancing Key Information Extraction with Vision Grounding—0
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy—0
Construction of a Syntactic Analysis Map for Yi Shui School through Text Mining and Natural Language Processing Research—0
Data Efficient Training of a U-Net Based Architecture for Structured Documents Localization—0
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
DUBLIN -- Document Understanding By Language-Image Network—0
Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression—0
End-to-End Document Classification and Key Information Extraction using Assignment Optimization—0
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All datasetsCORDSROIEKleister NDASIMARA

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RORE (GeoLayoutLM)F198.52—Unverified
2GeoLayoutLMF197.97—Unverified
3LayoutLMv3 LargeF197.46—Unverified
4LayoutMask (large)F197.19—Unverified
5LayoutMask (base)F196.99—Unverified
6TPP (LayoutMask)F196.92—Unverified
7LILTF196.07—Unverified
8LayoutLMv2LARGEF196.01—Unverified
9LayoutLMv2BASEF194.95—Unverified
#ModelMetricClaimedVerifiedStatus
1LayoutLMv2LARGE (Excluding OCR mismatch)F197.81—Unverified
2RORE (GeoLayoutLM)F196.97—Unverified
3LayoutLMv2LARGEF196.61—Unverified
4LayoutLMv2BASEF196.25—Unverified
5ChatGPT 3.5 SpatialFormatAccuracy77—Unverified
#ModelMetricClaimedVerifiedStatus
1LayoutLMv2LARGEF185.2—Unverified
2LayoutLMv2BASEF183.3—Unverified
3LAMBERT (75M)F180.42—Unverified
#ModelMetricClaimedVerifiedStatus
1DANF1 (%)95.05—Unverified