Results 11 to 20 of about 5,494 (182)
From Human Child to Grey Parrot: Exploring a Common Model of Word Meaning Extension Across Species. [PDF]
Cogn SciAbstract Word meaning extension refers to the process by which a single word form develops multiple related meanings. Prior studies demonstrate that meaning extension at diverse timescales, from decades‐long historical change and to month‐long changes in child overextension, is accounted for by models grounded in conceptual relations across knowledge ...
Fishkin M, Chang S, Xu Y.
europepmc +2 more sources
Sentiment Analysis of Image with Text Caption using Deep Learning Techniques. [PDF]
Comput Intell Neurosci, 2022 People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the advent of visual media such as images, videos, and GIFs, research on the subject of sentiment analysis has ...
Chaubey PK +7 more
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Automatic Construction of Persian ICT WordNet using Princeton WordNet [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical
A. Ahmadi Tameh +2 more
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Analytic Hierarchy Process with the Correlation Effect via WordNet
Mathematics, 2021 The analytic hierarchy process (AHP) is a well-known approach in decision-making because of its simplicity and rationality. However, in conventional AHP, it cannot account for the correlation effect between criteria.
Jih-Jeng Huang
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Automatic Short Answer Grading With SemSpace Sense Vectors and MaLSTM
IEEE Access, 2021 Automatic assessment of exams is widely preferred by educators than multiple-choice exams because of its efficiency in measuring student performance, lack of subjectivity when evaluating student response, and faster evaluation time than the time ...
Cagatay Neftali Tulu +2 more
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Enhancing Accuracy of Semantic Relatedness Measurement by Word Single-Meaning Embeddings
IEEE Access, 2021 We propose a lightweight algorithm of learning word single-meaning embeddings (WSME), by exploring WordNet synsets and Doc2vec document embeddings, to enhance the accuracy of semantic relatedness measurement.
Xiaotao Li, Shujuan You, Wai Chen
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When conset meets synset [PDF]
Proceedings of the COLING/ACL on Main conference poster sessions -, 2006 This paper describes an on-going project concerning with an ontological lexical resource based on the abundant conceptual information grounded on Chinese characters. The ultimate goal of this project is set to construct a cognitively sound and computationally effective character-grounded machine-understandable resource.
Shu-Kai Hsieh, Chu-Ren Huang
openaire +1 more source
Deep distant reading: The rise of realism in Scandinavian literature as a case study
Orbis Litterarum, Volume 78, Issue 5, Page 335-352, October 2023., 2023 Abstract In this article we make a case for a synchronic and contextualizing perspective on the scaling of literary data, one which qualifies and expands the data points in terms of depth, or thickness, through the help of metadata on the social and historical conditions of the texts. Our case study is an investigation of the rise and impact of realism
Jens Bjerring‐Hansen, Matthew Wilkens
wiley +1 more source
Вестник Волгоградского государственного университета: Серия 2. Языкознание, 2020 The recently created RuWordNet thesaurus reflects hierarchical, primarily synonymous, relations in the vocabulary so that it is built from a set of synsets.
Irina V. Erofeeva +2 more
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Deep learning serves traffic safety analysis: A forward‐looking review
IET Intelligent Transport Systems, Volume 17, Issue 1, Page 22-71, January 2023., 2023 Abstract This paper explores deep learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasising driving safety for both autonomous vehicles and human‐operated vehicles. A typical processing pipeline is presented, which can be used to understand and interpret traffic videos by extracting operational safety ...
Abolfazl Razi +6 more
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