Results 21 to 30 of about 19,142 (209)
A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information, 2023 Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 more
doaj +1 more source
Quranic Ontologies: A Scoping Review of the Applications [PDF]
کتابداری و اطلاعرسانی, 2023 Objective: The purpose is to provide a comprehensive view of the applications of Quranic ontologies, through the identification and analysis of research related to the various uses of operational Quranic ontologies, for researchers in the theoretical and
Ali Mirarab +2 more
doaj +1 more source
Development of the information system for the Kazakh language preprocessing
Cogent Engineering, 2021 The aim of this work is the design and development of linguistic resources and preprocessing tools for the Kazakh language. The media-corpus of the Kazakh language is presented as a linguistic resource, which is available on Al-Farabi Kazakh National ...
Darkhan Akhmed-Zaki +4 more
doaj +1 more source
Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding
Applied Sciences, 2021 With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited.
Van-Hai Vu +3 more
doaj +1 more source
Combining dependency and constituent-based resources for structure disambiguation [PDF]
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002 Unrestricted text analysis requires an accurate syntactic analysis but structural ambiguity is one of the most difficult problems to resolve. Researchers have tried different approaches to obtain the correct syntactic structure from analyzed sentences but no successful results have been obtained.
Sofía N. Galicia-Haro +2 more
openaire +2 more sources
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
IEEE Access, 2022 Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony +3 more
doaj +1 more source
Biology, 2022 The increasing incorporation of omics technologies into biomedical research and translational medicine presents challenges to end users of the large and complex datasets that are generated by these methods.
Joshua D. Breidenbach +3 more
doaj +1 more source
Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation
Journal of Integrative Bioinformatics, 2017 Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
doaj +1 more source
Lexical Simplification System to Improve Web Accessibility
IEEE Access, 2021 People with intellectual, language and learning disabilities face accessibility barriers when reading texts with complex words. Following accessibility guidelines, complex words can be identified, and easy synonyms and definitions can be provided for ...
Rodrigo Alarcon +2 more
doaj +1 more source
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning [PDF]
, 2018 Over the past years, distributed semantic representations have proved to be effective and flexible keepers of prior knowledge to be integrated into downstream applications. This survey focuses on the representation of meaning.
Camacho-Collados, Jose +1 more
core +3 more sources