Results 21 to 30 of about 8,202,971 (220)
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021 Spam Detection is the process to classify text which contains irrelevant or unsolicited messages sent over the internet, typically to a large number of users, for the purposes of advertising, phishing, spreading malware, etc. Text summarization is the technique of converting long text to short.
Dharmik Timbadia, Niraj Vesaokar
openaire +1 more source
MGTBench: Benchmarking Machine-Generated Text Detection [PDF]
Conference on Computer and Communications Security, 2023 Nowadays, powerful large language models (LLMs) such as ChatGPT have demonstrated revolutionary power in a variety of natural language processing (NLP) tasks such as text classification, sentiment analysis, language translation, and question-answering ...
Xinlei He +4 more
semanticscholar +1 more source
A Multi-Layer Holistic Approach for Cursive Text Recognition
Applied Sciences, 2022 Urdu is a widely spoken and narrated language in several South-Asian countries and communities worldwide. It is relatively hard to recognize Urdu text compared to other languages due to its cursive writing style.
Muhammad Umair +6 more
doaj +1 more source
On the Possibilities of AI-Generated Text Detection [PDF]
arXiv.org, 2023 Our work addresses the critical issue of distinguishing text generated by Large Language Models (LLMs) from human-produced text, a task essential for numerous applications.
Souradip Chakraborty +5 more
semanticscholar +1 more source
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding [PDF]
arXiv.org, 2023 In the era of Large Language Models (LLMs), tremendous strides have been made in the field of multimodal understanding. However, existing advanced algorithms are limited to effectively utilizing the immense representation capabilities and rich world ...
Hao Feng +6 more
semanticscholar +1 more source
Umanistica Digitale, 2021 This paper describes the preliminary results of an ancient history and computer science collaboration to apply machine learning to the identification of text within images of inscriptions, one of our major sources of evidence for the Roman world.
Charlotte Tupman +2 more
doaj +1 more source
Enabling Product Recognition and Tracking Based on Text Detection for Mobile Augmented Reality
IEEE Access, 2022 We propose a system that supports real-time product recognition and tracking based on text detection for mobile augmented reality. To accurately distinguish products with visually similar packages, we develop a method that recognizes product names by ...
Sangwon Hwang, Jisun Lee, Seungwoo Kang
doaj +1 more source
SeqXGPT: Sentence-Level AI-Generated Text Detection [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Widely applied large language models (LLMs) can generate human-like content, raising concerns about the abuse of LLMs. Therefore, it is important to build strong AI-generated text (AIGT) detectors.
Pengyu Wang +5 more
semanticscholar +1 more source
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer [PDF]
AAAI Conference on Artificial Intelligence, 2022 Recently, Transformer-based methods, which predict polygon points or Bezier curve control points for localizing texts, are popular in scene text detection.
Maoyuan Ye +5 more
semanticscholar +1 more source
Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques
IEEE Access, 2023 In the realm of Document Image Analysis (DIA), the primary objective is to transform image data into a format that can be readily interpreted by machines.
Nisar Khan +7 more
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