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
Entity Relation Extraction as Dependency Parsing in Visually Rich Documents—0
Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models—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
NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition—0
One-shot Key Information Extraction from Document with Deep Partial Graph Matching—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
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction—0
RDU: A Region-based Approach to Form-style Document Understanding—0
RealKIE: Five Novel Datasets for Enterprise Key Information Extraction—0
Relational Representation Learning in Visually-Rich Documents—0
Comparison of biomedical relationship extraction methods and models for knowledge graph creation—0
Retrieval Augmented Structured Generation: Business Document Information Extraction As Tool Use—0
SIMARA: a database for key-value information extraction from full pages—0
UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-like Documents—0
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents—0
ViBERTgrid BiLSTM-CRF: Multimodal Key Information Extraction from Unstructured Financial Documents—0
VKIE: The Application of Key Information Extraction on Video Text—0
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs—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