Results 31 to 40 of about 1,822,137 (242)
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
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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
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
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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
Generalising semantic category disambiguation with large lexical resources for fun and profit [PDF]
Journal of Biomedical Semantics, 2014 Semantic Category Disambiguation (SCD) is the task of assigning the appropriate semantic category to given spans of text from a fixed set of candidate categories, for example Protein to "Fibrin". SCD is relevant to Natural Language Processing tasks such as Named Entity Recognition, coreference resolution and coordination resolution.
Sophia Ananiadou +4 more
openaire +3 more sources
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
PLOS ONE, 2016 The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists.
Ozyurt, Ibrahim Burak +3 more
openaire +7 more sources
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation [PDF]
, 2017 Interpretability of a predictive model is a powerful feature that gains the trust of users in the correctness of the predictions. In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than knowledge-free ...
Biemann, Chris +6 more
core +3 more sources
, 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