Results 11 to 20 of about 287,772 (335)
Text Segmentation via Hierarchical Document Attention Model
IEEE Access, 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 structures ...
Yanhua Wang, Chunfang Min
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Text Segmentation by Cross Segment Attention [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In this work, we propose three transformer-based architectures and provide comprehensive comparisons with previously proposed approaches
Lukasik, Michal +3 more
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Two different paradigms in the field of plagiarism detection resulting in External Plagiarism Detection (EPD) and Intrinsic Plagiarism Detection (IPD) systems.
Sylvia Putri Gunawan +2 more
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Automatic segmentation of clinical texts [PDF]
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 Clinical narratives, such as radiology and pathology reports, are commonly available in electronic form. However, they are also commonly entered and stored as free text. Knowledge of the structure of clinical narratives is necessary for enhancing the productivity of healthcare departments and facilitating research.
Emilia, Apostolova +5 more
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Recognition of Devanagari Scene Text Using Autoencoder CNN
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2021 Scene text recognition is a well-rooted research domain covering a diverse application area. Recognition of scene text is challenging due to the complex nature of scene images.
Sankirti Sandeep Shiravale +2 more
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Statistical Models for Text Segmentation [PDF]
Machine Learning, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beeferman, Doug +2 more
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Structural text segmentation of legal documents [PDF]
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law, 2021 The growing complexity of legal cases has lead to an increasing interest in legal information retrieval systems that can effectively satisfy user-specific information needs. However, such downstream systems typically require documents to be properly formatted and segmented, which is often done with relatively simple pre-processing steps, disregarding ...
Aumiller, Dennis +3 more
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Scene Text Segmentation via Multi-Task Cascade Transformer With Paired Data Synthesis
IEEE Access, 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 limited ...
Quang-Vinh Dang, Guee-Sang Lee
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Development of algorithm for segmentation of handwritten text using masks [PDF]
Омский научный вестник, 2020 The work highlights the problem of extracting handwritten text on the image for further recognition. Describes common methods of segmentation, allowing to solve this problem: method of color image analysis the binary image segmentation method of ...
V. Yu. Kobenko +2 more
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Automatic text decomposition using text segments and text themes [PDF]
Proceedings of the the seventh ACM conference on Hypertext - HYPERTEXT '96, 1996 With the widespread use of full-text information retrieval, passage-retrieval techniques are becoming increasingly popular. Larger texts can then be replaced by important text excerpts, thereby simplifying the retrieval task and improving retrieval effectiveness.
Gerard Salton +3 more
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