Results 11 to 20 of about 9,329,007 (338)
Nationality Classification Using Name Embeddings [PDF]
International Conference on Information and Knowledge Management, 2017 Nationality identification unlocks important demographic information, with many applications in biomedical and sociological research. Existing name-based nationality classifiers use name substrings as features and are trained on small, unrepresentative ...
Coskun, Baris +6 more
core +2 more sources
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition [PDF]
Social Science Research Network, 2021 Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Probably the single most important identifier for linking is personal names.
C. M. Dahl +3 more
semanticscholar +1 more source
Fungal Nomenclature: Managing Change is the Name of the Game
Open Forum Infectious Diseases, 2023 Fungal species have undergone and continue to undergo significant nomenclatural change, primarily due to the abandonment of dual species nomenclature in 2013 and the widespread application of molecular technologies in taxonomy allowing correction of past
S. Kidd, A. Abdolrasouli, F. Hagen
semanticscholar +1 more source
What's in a name? Renaming ‘NAFLD’ to ‘MAFLD’
Liver international (Print), 2020 In medicine, language matters and the words used to name and describe a disease can have a profound impact on patients and their families. Over the last two decades, many criticisms have been voiced about the nomenclature and definition of non‐alcoholic ...
Yasser M Fouad +5 more
semanticscholar +1 more source
DeepBugs: a learning approach to name-based bug detection [PDF]
Proc. ACM Program. Lang., 2018 Natural language elements in source code, e.g., the names of variables and functions, convey useful information. However, most existing bug detection tools ignore this information and therefore miss some classes of bugs.
Michael Pradel, Koushik Sen
semanticscholar +1 more source
Cross-lingual Name Tagging and Linking for 282 Languages
Annual Meeting of the Association for Computational Linguistics, 2017 The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse ...
Xiaoman Pan +5 more
semanticscholar +1 more source
It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 This paper treats gender bias latent in word embeddings. Previous mitigation attempts rely on the operationalisation of gender bias as a projection over a linear subspace.
R. Maudslay +3 more
semanticscholar +1 more source
The effect of the Almalyk-Akhangaran industrial zone on changes in the groundwater level of the Ahangaran river basin [PDF]
E3S Web of ConferencesThis article describes the state of groundwater and surface waters in the Akhangaran River basin, around the Almalyk Mining and Metallurgical Combine (AMMC), the amount of water consumed by the population of the city of Almalyk, the amount of ...
Fozilov Azamat +4 more
doaj +1 more source
Global climate change and its negative consequences [PDF]
E3S Web of ConferencesIn the emergence of global problems of nature and man, these problems have natural anthropogenic roots; the presence of periodic changes in climatic processes; the atmosphere is the shell surrounding planet Earth., natural factors that shape the climate,
Khayrulla Jurakulov +4 more
doaj +1 more source
Mesenchymal Stem Cells: Time to Change the Name!
Stem Cells Translational Medicine, 2017 Mesenchymal stem cells (MSCs) were officially named more than 25 years ago to represent a class of cells from human and mammalian bone marrow and periosteum that could be isolated and expanded in culture while maintaining their in vitro capacity to be ...
A. Caplan
semanticscholar +1 more source