Results 11 to 20 of about 42,654 (268)
HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey
Background Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic ...
Juan J. Lastra-Díaz +2 more
doaj +1 more source
UPRec: User-aware Pre-training for sequential Recommendation
Recent years witness the success of pre-trained models to alleviate the data sparsity problem in recommender systems. However, existing pre-trained models for recommendation mainly focus on leveraging universal sequence patterns from user behavior ...
Chaojun Xiao +6 more
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Automatic Classification of Sexism in Social Networks: An Empirical Study on Twitter Data
During the last decade, hateful and sexist content towards women is being increasingly spread on social networks. The exposure to sexist speech has serious consequences to women's life and limits their freedom of speech.
Francisco Rodriguez-Sanchez +2 more
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Classification of Nail Abnormalities using Convolutional Neural Network
Nails are one organ which can indicate the status of a health condition through its own appearance. To create a model which can be applied as a tool for self-classifying nail abnormalities, this article presents the study and analysis on seven ...
Nuttida Lapthanachai +3 more
doaj +1 more source
Presented at Third International Symposium on Innovative Technologies in Engineering and Science 3-5 June, 2015, Valencia ...
Galip Aydin, Ibrahim Riza Hallac
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Dynabench: Rethinking Benchmarking in NLP [PDF]
We introduce Dynabench, an open-source platform for dynamic dataset creation and model benchmarking. Dynabench runs in a web browser and supports human-and-model-in-the-loop dataset creation: annotators seek to create examples that a target model will misclassify, but that another person will not.
Douwe Kiela +18 more
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The NLP Engine: A Universal Turing Machine for NLP
It is commonly accepted that machine translation is a more complex task than part of speech tagging. But how much more complex? In this paper we make an attempt to develop a general framework and methodology for computing the informational and/or processing complexity of NLP applications and tasks.
Jiwei Li 0001, Eduard H. Hovy
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On the crucial role of multilingual biomedical databases in epidemic events (SARS-CoV-2 analysis)
The need for multilingual biomedical databases was already pointed out by different authors. They argue about the need for making translations available in other languages and centralized access to regional databases and that one should not disregard ...
Felipe Soares +1 more
doaj +1 more source
Preventive conservation of cultural heritage can avoid or minimize future damage, deterioration, loss and consequently, any invasive intervention. Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans ...
Marco D'Orazio +2 more
doaj +1 more source
Ontology-based Complementary Breastfeeding Search Model
Children's nutritional requirements differ from those of adults. The health ministry's Indonesian data shows that in 2017, there were 17.8% of malnourished children under five years old (toddlers), one of which was related to complementary breastfeeding ...
Astrid Noviana Paradhita +2 more
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