Results 21 to 30 of about 818 (197)
Automatically constructing Wordnet Synsets [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014 6 ...
Khang Nhut Lam +2 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +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
doaj +1 more source
Multi-Objective Evolutioary Algorithms for Synset Dimensionality Reduction
, 2022 Multi-Objective Evolutioary Algorithms for Synset Dimensionality Reduction This work has been developed to discover the usage of Multi-Objective Evolutionary computation to reduce the dimensionality of synset-based datatsets.
Enaitz Ezpeleta +5 more
core +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
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
wiley +1 more source
A Large Visual, Qualitative, and Quantitative Dataset for Web Intelligence Applications
Computational Intelligence and Neuroscience, Volume 2023, Issue 1, 2023., 2023 The Web is the communication platform and source of information par excellence. The volume and complexity of its content have grown enormously, with organizing, retrieving, and cleaning Web information becoming a challenge for traditional techniques.
Christian Mejia-Escobar +3 more
wiley +1 more source