Results 1 to 10 of about 55,371 (314)
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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Statistical Models for Text Segmentation [PDF]
Machine Learning, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Doug Beeferman +2 more
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Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Segment Anything Model (SAM), a profound vision foundation model pretrained on a large-scale dataset, breaks the boundaries of general segmentation and sparks various downstream applications. This paper introduces Hi-SAM, a unified model leveraging SAM for hierarchical text segmentation.
Maoyuan Ye +7 more
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The impact of text segmentation on subtitle reading. [PDF]
J Eye Mov Res, 2018 Gerber-Morón O, Szarkowska A, Woll B.
europepmc +3 more sources
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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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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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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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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