Results 11 to 20 of about 9,581,242 (372)

A retrieval and ranking method of mathematical documents based on CA-YOLOv5 and HFS

open access: yesMathematical Biosciences and Engineering, 2022
In a retrieval system for mathematical documents based on mathematical expressions, the input and matching of mathematical expressions are key steps that affect the system's usability, accessibility and efficiency because of their special attributes ...
Xinpeng Xu, Xuedong Tian, Fang Yang
doaj   +1 more source

DocVQA: A Dataset for VQA on Document Images [PDF]

open access: yesIEEE Workshop/Winter Conference on Applications of Computer Vision, 2020
We present a new dataset for Visual Question Answering (VQA) on document images called DocVQA. The dataset consists of 50,000 questions defined on 12,000+ document images.
Minesh Mathew   +3 more
semanticscholar   +1 more source

New Trends in Improving Public Service Delivery in Ukraine

open access: yesНауковий вісник Мукачівського державного університету. Серія Економіка, 2021
In the aspect of the European integration aspirations of Ukrainian society and the social development of the nation state, the issues of its service function formation in the form of public services are becoming more and more relevant in Ukraine.
Tymur Slobodeniuk
doaj   +1 more source

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning

open access: yesJournal of Imaging, 2020
In this paper, we tackle the problem of categorizing and identifying cross-depicted historical motifs using recent deep learning techniques, with aim of developing a content-based image retrieval system. As cross-depiction, we understand the problem that
Vinaychandran Pondenkandath   +4 more
doaj   +1 more source

SPECTER: Document-level Representation Learning using Citation-informed Transformers [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2020
Representation learning is a critical ingredient for natural language processing systems. Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards token- and sentence-level training ...
Arman Cohan   +4 more
semanticscholar   +1 more source

Syntax of Native Advertising Publications in Glossy Periodicals

open access: yesНаучный диалог, 2020
The question of the originality of the syntax of native advertising publications in Russian editions of international glossy magazines in 2018-2020 is considered. The relevance of the chosen topic is due to the interest of domestic and foreign experts in
O. A. Selemeneva
doaj   +1 more source

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2020
Pre-training of text and layout has proved effective in a variety of visually-rich document understanding tasks due to its effective model architecture and the advantage of large-scale unlabeled scanned/digital-born documents.
Yang Xu   +11 more
semanticscholar   +1 more source

Document Ranking with a Pretrained Sequence-to-Sequence Model [PDF]

open access: yesFindings, 2020
This work proposes the use of a pretrained sequence-to-sequence model for document ranking. Our approach is fundamentally different from a commonly adopted classification-based formulation based on encoder-only pretrained transformer architectures such ...
Rodrigo Nogueira   +3 more
semanticscholar   +1 more source

Conducting a Qualitative Document Analysis

open access: yesThe Qualitative Report, 2022
Document analysis has been an underused approach to qualitative research. This approach can be valuable for various reasons. When used to analyze pre-existing texts, this method allows researchers to conduct studies they might otherwise not be able to ...
H. Morgan
semanticscholar   +1 more source

Unifying Vision, Text, and Layout for Universal Document Processing [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
We propose Universal Document Processing (UDOP), a foundation Document AI model which unifies text, image, and layout modalities together with varied task formats, including document understanding and generation.
Zineng Tang   +8 more
semanticscholar   +1 more source

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