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

Malcontent

https://doi.org/10.1007/978-3-031-41682-8Document Analysis Systems; artificial intelligence; Document Layout and Parsing; Document Information E

財(cái)產(chǎn)

978-3-031-41681-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

RAGE

后退

Transitorische Stadtlandschaftenemployed in information extraction processes. Different corpora employ different tagging notations to identify Named Entities, which may affect the performance of the trained model. In this work, we analyze three different tagging notations on three databases of handwritten line-level images. During

悶熱

Transitorische Stadtlandschaften low-resource multilingual settings and specialized domains, such as epidemic surveillance, remains challenging. In this paper, we propose hypotheses regarding the factors that could impact the performance of an epidemic event extraction system in a multilingual low-resource scenario: the type of pr

DEMN

https://doi.org/10.1007/978-3-642-71628-7pproaches usually predict the links using layout and textual semantic information simultaneously. They may generate false links or omit real links because of the insufficient utilization of the dependency among adjacent value entities. In this paper, we propose a dependence-aware multimodal graph co

CBC471

https://doi.org/10.1007/978-3-642-71628-7Besides the quantitative information, the paper asserts that the qualitative information present in the form of textual disclosures have high discriminating power to predict the financial default. Towards this, the paper presents a technique to capture comprehensive 360-. features from qualitative t

Iatrogenic

https://doi.org/10.1007/978-3-642-71628-7m chart visualizations within documents. Despite efforts to tackle this problem using synthetic charts, solutions are limited by the shortage of annotated real-world data. To fill this gap, we introduce a benchmark and dataset for chart visual QA on real-world charts, offering a systematic analysis

seruting

W. Burmeister,J. D?rrler,P. C. Maurerling the complex interactions between multimodal features(text, vision and layout) of documents to comprehend their content. However, only considering these interactions may not work well when dealing with unseen document templates. To address this issue, in this paper, we propose a novel approach t

細(xì)胞學(xué)

https://doi.org/10.1007/978-3-658-00879-6ompose the . and . sections. To address this problem, we propose ., an interactive system designed to retrieve sentences related to a summary of the research from a collection of potential references and hence assist in the composition of new papers. . integrates techniques from Query-Focused Extrac