Text Segmentation into Paragraphs Based on Local Text Cohesion [PDF]
, 2001 The problem of automatic text segmentation is subcategorized into two different problems: thematic segmentation into rather large topically self-contained sections and splitting into paragraphs, i.e., lexico-grammatical segmentation of lower level. In this paper we consider the latter problem.
Igor A. Bolshakov, Alexander Gelbukh
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A Local Discrete Text Data Mining Method in High-Dimensional Data Space
International Journal of Computational Intelligence Systems, 2022 Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete text data mining method in high-dimensional data space is proposed.
Juan Li, Aiping Chen
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Comparison of full-text versus metadata searching in an institutional repository: Case study of the UNT Scholarly Works [PDF]
, 2015 Authors in the library science field disagree about the importance of using costly resources to create local metadata records, particularly for scholarly materials that have full-text search alternatives. At the University of North Texas (UNT) Libraries,
Alemneh, Daniel +3 more
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Evaluation of Fingerprint Selection Algorithms for Local Text Reuse Detection
Applied Computer Systems, 2020 Detection of local text reuse is central to a variety of applications, including plagiarism detection, origin detection, and information flow analysis.
Jēkabsons Gints
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TheEffect of Local and Global Cohesion of the Text on Improvement of Reading Comprehension of Students with Low and High Prior KnowledgeAbolghassem Shakiba [PDF]
Ravānshināsī-i Afrād-i Istis̠nāyī, 2013 The main purpose of this study isto examine the effect of local and global text cohesion on improving the reading comprehension of students with low and high prior knowledge.
Abolghasem Shakiba +3 more
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Retelling Local Legends: Implementing CIRC In Teaching Writing Narrative Text
ELT Echo: The Journal of English Language Teaching in Foreign Language Context, 2019 : Introducing local legends is crucial for students to preserve their existence. However, many students in SMAN 1 Katibung South Lampung found it difficult to retell narrative text in writing, especially local legends, because they are lack of grammar ...
Bella Maidiya Putri, sayid wijaya
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Pengembangan LKPD Berbasis Kearifan Lokal Nusa Penida pada Materi Teks Negosiasi Kelas X
EdukasiaThis research aims to decipher and explain the characteristics, validity, practicality, and effectiveness of LKPD based on Nusa Penida local wisdom in class X negotiation text.
Made Yeni Kusumayanthi +2 more
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Leveraging Text Localization for Scene Text Removal via Text-Aware Masked Image Modeling
Existing scene text removal (STR) task suffers from insufficient training data due to the expensive pixel-level labeling. In this paper, we aim to address this issue by introducing a Text-aware Masked Image Modeling algorithm (TMIM), which can pretrain STR models with low-cost text detection labels (e.g., text bounding box).
Zixiao Wang +5 more
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On local distance antimagic labeling of graphs
AKCE International Journal of Graphs and CombinatoricsLet [Formula: see text] be a graph of order n and let [Formula: see text] be a bijection. For every vertex [Formula: see text], we define the weight of the vertex v as [Formula: see text] where N(v) is the open neighborhood of the vertex v. The bijection
Adarsh Kumar Handa +2 more
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A text classification model for dynamic fusion of global and local features
Xi'an Gongcheng Daxue xuebaoExisting text classification models insufficiently utilize global and local information in texts, leading to subpar classification performance. In response to this issue, a text classification model called global and local features dynamic fusion (GLFDF)
ZHENG Wenjun, ZHANG Shunxiang
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