Results 21 to 30 of about 1,880,945 (215)
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
Attention-based Stacked Bidirectional Long Short-term Memory Model for Word Sense Disambiguation
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023 Word sense disambiguation is a basic task in Natural Language Processing which aims to identify the most appropriate sense of ambiguous words in different contexts by applying algorithm models.
Yu-Jie Sun, J. Platoš
semanticscholar +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
ARABICNLP, 2023 Extracting and disambiguating geolocation information from social media data enables effective disaster management, as it helps response authorities; for example, locating incidents for planning rescue activities and affected people for evacuation ...
Reem Suwaileh +2 more
semanticscholar +1 more source
IEEE Access, 2020 Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in an input-text sequence to their correct references in a knowledge graph.
Zizheng Ji +3 more
doaj +1 more source
, 2020 The study of homonymy is vital to resolving fundamental problems in lexical semantics. In this paper, we propose four hypotheses that characterize the unique behavior of homonyms in the context of translations, discourses, collocations, and sense ...
Hauer, Bradley, Kondrak, Grzegorz
core +1 more source
Named entity disambiguation in short texts over knowledge graphs
Knowledge and Information Systems, 2022 The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS).
Wissem Bouarroudj +2 more
semanticscholar +1 more source
An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
Open Computer Science, 2016 Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents ...
Ayetiran Eniafe Festus, Agbele Kehinde
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