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 51–74 of 74 papers

TitleStatusHype
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
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents—0
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction—0
Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models—0
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction—0
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups—0
Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections—0
KIEval: Evaluation Metric for Document Key Information Extraction—0
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts—0
LAPDoc: Layout-Aware Prompting for Documents—0
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding—0
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding—0
NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition—0
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition—0
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition—0
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models—0
One-shot Key Information Extraction from Document with Deep Partial Graph Matching—0
PaddleOCR 3.0 Technical Report—0
PDFVQA: A New Dataset for Real-World VQA on PDF Documents—0
PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts—0
PP-StructureV2: A Stronger Document Analysis System—0
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction—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