Results 31 to 40 of about 46,987 (245)
Unsupervised Text Segmentation Using Semantic Relatedness Graphs [PDF]
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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Recent studies have shown that subliminal priming effects can be of a semantic nature. However, the question remains how strong this kind of priming will prove to be.
Eva Van den Bussche +3 more
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This study aimed at providing evidence that prior knowledge (semantic relatedness) and its organization (scripted versus not related) prompted either through pictures alone, pictures and associated words, words only have different impacts on several ...
Béatrice Bourdin +3 more
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The normalized freebase distance [PDF]
In this paper, we propose the Normalized Freebase Distance (NFD), a new measure for determing semantic concept relatedness that is based on similar principles as the Normalized Web Distance (NWD).
Beecks, Christian +7 more
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Paying attention to meaning [PDF]
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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The Graded Priming Effect of Semantic Radical on Chinese Character Recognition
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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Visual re-ranking with natural language understanding for text spotting [PDF]
The final publication is available at link.springer.comMany scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text.
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]
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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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Supervised Learning of Semantic Relatedness [PDF]
We propose and study a novel supervised approach to learning statistical semantic relatedness models from subjectively annotated training examples. The proposed semantic model consists of parameterized co-occurrence statistics associated with textual units of a large background knowledge corpus.
Ran El-Yaniv, David Yanay
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