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 1–25 of 74 papers

TitleStatusHype
PaddleOCR 3.0 Technical ReportCode0
Class-Agnostic Region-of-Interest Matching in Document ImagesCode0
Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models—0
Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression—0
KIEval: Evaluation Metric for Document Key Information Extraction—0
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language ModelsCode0
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy—0
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs—0
GraphRevisedIE: Multimodal Information Extraction with Graph-Revised NetworkCode0
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingCode1
See then Tell: Enhancing Key Information Extraction with Vision Grounding—0
ViBERTgrid BiLSTM-CRF: Multimodal Key Information Extraction from Unstructured Financial Documents—0
Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural NetworkCode0
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review—0
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
Retrieval Augmented Structured Generation: Business Document Information Extraction As Tool Use—0
XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form ParserCode0
KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business DocumentsCode1
A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents—0
RealKIE: Five Novel Datasets for Enterprise Key Information Extraction—0
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table RecognitionCode0
TextMonkey: An OCR-Free Large Multimodal Model for Understanding DocumentCode5
Construction of a Syntactic Analysis Map for Yi Shui School through Text Mining and Natural Language Processing Research—0
LAPDoc: Layout-Aware Prompting for Documents—0
Different Tastes of Entities: Investigating Human Label Variation in Named Entity AnnotationsCode0
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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