Titlebook: Document Analysis and Recognition - ICDAR 2023; 17th International C Gernot A. Fink,Rajiv Jain,Richard Zanibbi Conference proceedings 2023

intuition

食料

Information Redundancy and Biases in Public Document Information Extraction Benchmarksthe generalization ability of models. We showed that models not suited for document analysis struggle on the adjusted splits dropping on average 10,5% F1 score on SROIE and 3.5% on FUNSD compared to multi-modal models dropping only 7,5% F1 on SROIE and 0.5% F1 on FUNSD.

Cabinet

Transitorische Stadtlandschaftenveillance task. Consequently, we believe that providing language-specific adaptation and extension of multilingual tokenizers with domain-specific entities is beneficial to multilingual epidemic event extraction in low-resource settings.

滑稽

Throttle

Einführungsmodul: Angehörigen-Kaffeetion network whose adjacency matrix is carefully designed to fully use the relative position information between text blocks. Extensive experiments on five benchmarks show the applicability of LayoutGCN for various downstream tasks and its comparable performance to existing large-scale models.

DOTE

Einführungsmodul: Angehörigen-Kaffeestudent is introduced to build the contrastive learning between the response and the context, while the label contrastive learning is constructed at low-level student. The experimental results on our Chinese CNTD and English TIAGE show the effectiveness of our proposed model.

钢笔尖

错

Analyzing the Impact of Tokenization on Multilingual Epidemic Surveillance in Low-Resource Languagesveillance task. Consequently, we believe that providing language-specific adaptation and extension of multilingual tokenizers with domain-specific entities is beneficial to multilingual epidemic event extraction in low-resource settings.

Eulogy

伦理学