Zobrazeno 1 - 10
of 3 555
pro vyhledávání: '"text segmentation"'
Publikováno v:
Journal of Social Computing, Vol 5, Iss 2, Pp 132-144 (2024)
Social media’s explosive growth has resulted in a massive influx of electronic documents influencing various facets of daily life. However, the enormous and complex nature of this content makes extracting valuable insights challenging. Long documen
Externí odkaz:
https://doaj.org/article/abb75a896ac64903b4c950ac38c0b6ef
Publikováno v:
Zhejiang dianli, Vol 43, Iss 6, Pp 117-124 (2024)
Large power texts contain numerous abbreviations of technical terms， alternative names， and irregular expressions. Existing word segmentation tools often fail to identify specialized vocabulary in the electrical engineering field， significantly
Externí odkaz:
https://doaj.org/article/439b32b3d8f2448fb4b05b4df0ec2933
Publikováno v:
Aerospace, Vol 11, Iss 10, p 843 (2024)
The rapid growth of the aviation industry highlights the need for strong safety management. Analyzing data on unsafe aviation events is crucial for preventing risks. This paper presents a new method that integrates the Transformer network model, clus
Externí odkaz:
https://doaj.org/article/b6a9f0cf60334aeeb5bf07111d66112b
Publikováno v:
Applied Computer Science, Vol 19, Iss 2, Pp 126-141 (2023)
Writing a well-structured scientific documents, such as articles and theses, is vital for comprehending the document's argumentation and understanding its messages. Furthermore, it has an impact on the efficiency and time required for studying the do
Externí odkaz:
https://doaj.org/article/b86cdfced2db4ecfa7526680ebf5c6a3
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4420 (2024)
Scene image text segmentation is an important task in computer vision, but the complexity and diversity of backgrounds make it challenging. All supervised image segmentation tasks require paired semantic label data to ensure the accuracy of segmentat
Externí odkaz:
https://doaj.org/article/4601edfaeb7e4dff864df64bdf054519
Publikováno v:
PeerJ Computer Science, Vol 9, p e1593 (2023)
Neural sentence encoders (NSE) are effective in many NLP tasks, including topic segmentation. However, no systematic comparison of their performance in topic segmentation has been performed. Here, we present such a comparison, using supervised and un
Externí odkaz:
https://doaj.org/article/e35b1b4459d845da8c4955aaeb8cd7c7
Autor:
Yanhua Wang, Chunfang Min
Publikováno v:
IEEE Access, Vol 11, Pp 130296-130305 (2023)
With the rapid development of natural language processing technology, text segmentation has become an important task in text processing. However, existing text segmentation methods often perform poorly when faced with long texts and complex structure
Externí odkaz:
https://doaj.org/article/12aec5f7e6e346d1b83aa58baa74b0b7
Autor:
Quang-Vinh Dang, Guee-Sang Lee
Publikováno v:
IEEE Access, Vol 11, Pp 67791-67805 (2023)
The scene text segmentation task provides a wide range of practical applications. However, the number of images in the available datasets for scene text segmentation is not large enough to effectively train deep learning-based models, leading to limi
Externí odkaz:
https://doaj.org/article/206d206d833e41d88533c9cc4cef6e98
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Akademický článek
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