Articles with "semantic knowledge" as a keyword



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From words-as-mappings to words-as-cues: the role of language in semantic knowledge

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Published in 2019 at "Language, Cognition and Neuroscience"

DOI: 10.1080/23273798.2017.1404114

Abstract: ABSTRACT Semantic knowledge (or semantic memory) is knowledge we have about the world. For example, we know that knives are typically sharp, made of metal, and that they are tools used for cutting. To what… read more here.

Keywords: language semantic; knowledge; words mappings; role ... See more keywords
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Understand Short Texts by Harvesting and Analyzing Semantic Knowledge

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Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2016.2571687

Abstract: Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech… read more here.

Keywords: knowledge; short texts; understand short; semantic knowledge ... See more keywords
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Activating Semantic Knowledge During Spoken Words and Environmental Sounds: Evidence From the Visual World Paradigm

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Published in 2020 at "Cognitive science"

DOI: 10.1111/cogs.12810

Abstract: Two visual world experiments investigated the activation of semantically related concepts during the processing of environmental sounds and spoken words. Participants heard environmental sounds such as barking or spoken words such as "puppy" while viewing… read more here.

Keywords: visual world; semantic knowledge; environmental sounds; spoken words ... See more keywords
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Semantic Knowledge Enhances Conscious Awareness of Visual Objects

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Published in 2019 at "Journal of Cognitive Neuroscience"

DOI: 10.1162/jocn_a_01404

Abstract: It is becoming increasingly established that information from long-term memory can influence early perceptual processing, a finding that is in line with recent theoretical approaches to cognition such as the predictive coding framework. Notwithstanding, the… read more here.

Keywords: knowledge; conscious awareness; enhances conscious; awareness visual ... See more keywords
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Children’s and adults’ use of fictional discourse and semantic knowledge for prediction in language processing

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Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0267297

Abstract: Using real-time eye-movement measures, we asked how a fantastical discourse context competes with stored representations of real-world events to influence the moment-by-moment interpretation of a story by 7-year-old children and adults. Seven-year-olds were less effective… read more here.

Keywords: semantic knowledge; language; knowledge; discourse ... See more keywords
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Identifying Phytochemicals from Biomedical Literature Utilizing Semantic Knowledge Sources

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Published in 2019 at "Studies in health technology and informatics"

DOI: 10.3233/shti190227

Abstract: Chemicals derived from plants (phytochemicals) are major concepts of interest in the study of medicinal plants. To date, efforts to catalogue and organize phytochemical knowledge have resorted to manual approaches. This study explored the potential… read more here.

Keywords: semantic knowledge; identifying phytochemicals; knowledge sources; sources identifying ... See more keywords

Automatic Construction Method for Domain Concepts Based on Wikipedia Semantic Knowledge Base

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Published in 2017 at "Journal of Computational Chemistry"

DOI: 10.4236/jcc.2017.51006

Abstract: This paper proposes a method to construct conceptual semantic knowledge base of software engineering domain based on Wikipedia. First, it takes the concept of SWEBOK V3 as the standard to extract the interpretation of the… read more here.

Keywords: based wikipedia; knowledge; knowledge base; domain ... See more keywords
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Extracting Semantic Knowledge from GANs with Unsupervised Learning

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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.48550/arxiv.2211.16710

Abstract: Recently, unsupervised learning has made impressive progress on various tasks. Despite the dominance of discriminative models, increasing attention is drawn to representations learned by generative models and in particular, Generative Adversarial Networks (GANs). Previous works… read more here.

Keywords: semantic knowledge; semantics; extracting semantic; segmentation ... See more keywords