{"title":"利用图像分割神经网络进行文本分割。","authors":"Slyusar V","doi":"10.15407/jai2024.01.046","DOIUrl":null,"url":null,"abstract":"The article highlights the importance of text segmentation in the field of natural language processing (NLP), especially in light of the development of large language models such as GPT-4. It discusses the use of specialized segmentation neural networks for various tasks, such as processing passport data and other documents, and points out the possibility of integrating these technologies into mobile applications. The use of neural network architectures, geared towards image processing, for text segmentation is considered. The study describes the application of networks such as PSPNet, U-Net, and U-Net++ for processing textual data, with an emphasis on adapting these networks to text tasks and evaluating their effectiveness. The potential of the multimodal capabilities of modern neural networks and the need for further research in this field are emphasized.","PeriodicalId":8434,"journal":{"name":"Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The text segmentation by neural networks of image segmentation.\",\"authors\":\"Slyusar V\",\"doi\":\"10.15407/jai2024.01.046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article highlights the importance of text segmentation in the field of natural language processing (NLP), especially in light of the development of large language models such as GPT-4. It discusses the use of specialized segmentation neural networks for various tasks, such as processing passport data and other documents, and points out the possibility of integrating these technologies into mobile applications. The use of neural network architectures, geared towards image processing, for text segmentation is considered. The study describes the application of networks such as PSPNet, U-Net, and U-Net++ for processing textual data, with an emphasis on adapting these networks to text tasks and evaluating their effectiveness. The potential of the multimodal capabilities of modern neural networks and the need for further research in this field are emphasized.\",\"PeriodicalId\":8434,\"journal\":{\"name\":\"Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.15407/jai2024.01.046\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.15407/jai2024.01.046","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
The text segmentation by neural networks of image segmentation.
The article highlights the importance of text segmentation in the field of natural language processing (NLP), especially in light of the development of large language models such as GPT-4. It discusses the use of specialized segmentation neural networks for various tasks, such as processing passport data and other documents, and points out the possibility of integrating these technologies into mobile applications. The use of neural network architectures, geared towards image processing, for text segmentation is considered. The study describes the application of networks such as PSPNet, U-Net, and U-Net++ for processing textual data, with an emphasis on adapting these networks to text tasks and evaluating their effectiveness. The potential of the multimodal capabilities of modern neural networks and the need for further research in this field are emphasized.
期刊介绍:
The Journal of Artificial Intelligence (AIJ) welcomes papers covering a broad spectrum of AI topics, including cognition, automated reasoning, computer vision, machine learning, and more. Papers should demonstrate advancements in AI and propose innovative approaches to AI problems. Additionally, the journal accepts papers describing AI applications, focusing on how new methods enhance performance rather than reiterating conventional approaches. In addition to regular papers, AIJ also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and summary papers on AI challenges and competitions.