Results 1 to 10 of about 284 (103)
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets [PDF]
PeerJ Computer Science, 2023 Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness.
Iñaki Vélez de Mendizabal +5 more
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Synset2Node: A new synset embedding based upon graph embeddings
Intelligent Systems With Applications, 2023 Due to the advances made in recent years, embedding methods caused a significant increase in the accuracy of text or graph processing methods. Embedding methods exhibit a compact vector representation of the basic elements (words, synsets, nodes,..) of ...
Fatemeh Jafarinejad
exaly +3 more sources
The natural selection of words: Finding the features of fitness. [PDF]
PLoS ONE, 2019 We introduce a dataset for studying the evolution of words, constructed from WordNet and the Google Books Ngram Corpus. The dataset tracks the evolution of 4,000 synonym sets (synsets), containing 9,000 English words, from 1800 AD to 2000 AD.
Peter D Turney, Saif M Mohammad
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Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews [PDF]
SN Computer Science, 2022 Poomagal S +4 more
exaly +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
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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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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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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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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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Synset geometry structure model
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2016 The goal of formalization, proposed in this paper, is to bring together, as near as possible, the theoretic linguistic problem of synonym conception and the computer linguistic methods based generally on empirical intuitive unjustified factors. Using the
Alexander Kirillov, Andrew Krizhanovsky
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