Word and character segmentation in ancient handwritten documents in Devanagari and Maithili scripts using horizontal zoning

Jindal, Amar; Ghosh, Rajib

doi:10.1016/j.eswa.2023.120127

Cited by 9 publications

(1 citation statement)

References 37 publications

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“…These advancements have catalyzed the conception of chatbots capable of interacting with documents in PDF format, which is still an emerging research topic. While interesting studies have been conducted incorporating technologies such as Optical Character Recognition (OCR) with NLP techniques [18,19], in addition to applications using BERT (Bidirectional Encoder Representation from Transformers) [20], it is important to note that there is still limited research exploring the application of LLMs in the interaction of chatbots with PDF documents, which is the focus of this article. Through a comprehensive literature review and the study of applications developed in this field, studies that have contributed to the development of the proposed solution have been identified.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Language-Model-Powered Chatbots for Query Resolution in PDF-Based Automotive Manuals

Medeiros,

Azevedo

et al. 2023

Vehicles

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In the current scenario of fast technological advancement, increasingly characterized by widespread adoption of Artificial Intelligence (AI)-driven tools, the significance of autonomous systems like chatbots has been highlighted. Such systems, which are proficient in addressing queries based on PDF files, hold the potential to revolutionize customer support and post-sales services in the automotive sector, resulting in time and resource optimization. Within this scenario, this work explores the adoption of Large Language Models (LLMs) to create AI-assisted tools for the automotive sector, assuming three distinct methods for comparative analysis. For them, broad assessment criteria are considered in order to encompass response accuracy, cost, and user experience. The achieved results demonstrate that the choice of the most adequate method in this context hinges on the selected criteria, with different practical implications. Therefore, this work provides insights into the effectiveness and applicability of chatbots in the automotive industry, particularly when interfacing with automotive manuals, facilitating the implementation of productive generative AI strategies that meet the demands of the sector.

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Section: Related Workmentioning

confidence: 99%