SOTAVerified

document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 121–130 of 309 papers

TitleStatusHype
Bidirectional Context-Aware Hierarchical Attention Network for Document UnderstandingCode0
Improving Clinical Document Understanding on COVID-19 Research with Spark NLPCode0
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata ExtractionCode0
GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document UnderstandingCode0
Hypergraph based Understanding for Document Semantic Entity RecognitionCode0
HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in HanjaCode0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning—0
Génération de question à partir d’analyse sémantique pour l’adaptation non supervisée de modèles de compréhension de documents (Question generation from semantic analysis for unsupervised adaptation of document understanding models)—0
Show:102550
← PrevPage 13 of 31Next →

No leaderboard results yet.