Results 31 to 40 of about 46,636 (181)
Unsupervised Text Segmentation Using Semantic Relatedness Graphs [PDF]
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016 Segmenting text into semantically coherent fragments improves readability of text and facilitates tasks like text summarization and passage retrieval. In this paper, we present a novel unsupervised algorithm for linear text segmentation (TS) that exploits word embeddings and a measure of semantic relatedness of short texts to construct a ...
Glavaš, Goran +2 more
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Paying attention to meaning [PDF]
, 2004 Several paradigms show that responses to one event compromise responses to a second event for around 500 ms. Such effects are generally attributed to attentional capacity limitations associated with processing information in the first event.
Barnard, P.J. +4 more
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An evaluative baseline for geo-semantic relatedness and similarity [PDF]
, 2014 In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval.
A Ballatore +40 more
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The Graded Priming Effect of Semantic Radical on Chinese Character Recognition
Frontiers in Psychology, 2021 This study used priming paradigm with lexical decision task to examine the effects of different levels of semantic relatedness on the identification of Chinese phonetic–semantic compound characters.
Xiuhong Tong +3 more
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Semantic relatedness based re-ranker for text spotting [PDF]
, 2019 Applications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based neural approaches.
Moreno-Noguer, Francesc +2 more
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Using a search engine-based mutually reinforcing approach to assess the semantic relatedness of biomedical terms. [PDF]
PLoS ONE, 2013 BACKGROUND: Determining the semantic relatedness of two biomedical terms is an important task for many text-mining applications in the biomedical field.
Yi-Yu Hsu, Hung-Yu Chen, Hung-Yu Kao
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Do Multi-Sense Embeddings Improve Natural Language Understanding? [PDF]
, 2015 Learning a distinct representation for each sense of an ambiguous word could lead to more powerful and fine-grained models of vector-space representations. Yet while `multi-sense' methods have been proposed and tested on artificial word-similarity tasks,
Jurafsky, Dan, Li, Jiwei
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Computers & Mathematics with Applications, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Extracting and Analyzing Semantic Relatedness between Cities Using News Articles
, 2017 News articles capture a variety of topics about our society. They reflect not only the socioeconomic activities that happened in our physical world, but also some of the cultures, human interests, and public concerns that exist only in the perceptions of
Hu, Yingjie, Shaw, Shih-Lung, Ye, Xinyue
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Phonological and semantic strategies in a letter fluency task for people with Alzheimer’s disease
Frontiers in Psychology, 2022 Objectives:This study investigated whether employing a phonological or semantic strategy elicited a better performance on a letter fluency task for people with Alzheimer’s disease (AD).Methods:Sixty participants with probable AD were extracted from the ...
Jimin Park +4 more
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