Unsupervised Text Segmentation Predicts Eye Fixations During Reading [PDF]
Frontiers in Artificial Intelligence, 2022 Words typically form the basis of psycholinguistic and computational linguistic studies about sentence processing. However, recent evidence shows the basic units during reading, i.e., the items in the mental lexicon, are not always words, but could also ...
Jinbiao Yang +3 more
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Application of Image Segmentation Algorithm Based on Partial Differential Equation in Legal Case Text Classification [PDF]
Advances in Mathematical Physics, 2021 As a means of regulating people’s code of conduct, law has a close relationship with text, and text data has been growing exponentially. Managing and classifying huge text data have become a huge challenge.
Jingliang Sun
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The influence of text segmentation on garden path processing: evidence from self-paced reading and eye-tracking [PDF]
Language and CognitionLine breaks are ubiquitous in continuous text, as in this article. Despite this prevalence, their effects on parsing and interpretation have been markedly understudied in previous research on written language processing.
Andromachi Tsoukala +2 more
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Text segmentation with character-level text embeddings [PDF]
, 2013 Learning word representations has recently seen much success in computational linguistics. However, assuming sequences of word tokens as input to linguistic analysis is often unjustified.
Chrupała, Grzegorz
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Colour Text Segmentation in Web Images Based on Human Perception [PDF]
, 2007 There is a significant need to extract and analyse the text in images on Web documents, for effective indexing, semantic analysis and even presentation by non-visual means (e.g., audio).
A. Antonacopoulos +12 more
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ALGORITHM COMPOSITION OF TEXT THEMATIC SEGMENTATION AS INTELLECTUALIZATION INSTRUMENT FOR DESIGN OF TECHNICAL SYSTEMS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2018 The paper considers the problem of thematic segmentation of extended texts aimed at the support of technical systems designer operation. The example shows that different segmentation algorithms allocate meaningfully different text fragments, and the ...
N. V. Dobrenko
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Image-text guided fundus vessel segmentation via attention mechanism and gated residual learning [PDF]
Frontiers in Cell and Developmental BiologyBackgroundFundus vessel segmentation is crucial for the early diagnosis of ocular diseases. However, existing deep learning-based methods, although effective for detecting coarse vessels, still face challenges in segmenting fine vessels and heavily rely ...
Jianguo Xu +6 more
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EXPLOITING BERT FOR MALFORMED SEGMENTATION DETECTION TO IMPROVE SCIENTIFIC WRITINGS
Applied Computer Science, 2023 Writing a well-structured scientific documents, such as articles and theses, is vital for comprehending the document's argumentation and understanding its messages.
Abdelrahman HALAWA +2 more
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Applied Sciences, 2022 Online customer review classification and analysis have been recognized as an important problem in many domains, such as business intelligence, marketing, and e-governance. To solve this problem, a variety of machine learning methods was developed in the
Valentinus Roby Hananto +2 more
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Paragraph Boundary Recognition in Novels for Story Understanding
Applied Sciences, 2021 The understanding of narrative stories by computer is an important task for their automatic generation. To date, high-performance neural-network technologies such as BERT have been applied to tasks such as the Story Cloze Test and Story Completion.
Riku Iikura, Makoto Okada, Naoki Mori
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