Semantic Detection of Targeted Attacks Using DOC2VEC Embedding [PDF]
Journal of Communications Software and Systems, 2021 The targeted attack is one of the social engineering attacks. The detection of this type of attack is considered a challenge as it depends on semantic extraction of the intent of the attacker.
Mariam S. El-Rahmany +2 more
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Advancing equity in breast cancer care: natural language processing for analysing treatment outcomes in under-represented populations [PDF]
BMJ Health & Care InformaticsObjective The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under ...
Jung In Park +3 more
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Benchmarking MeSH-augmented embeddings for biomedical document similarity [PDF]
Journal of Biomedical SemanticsBackground The extensive volume of biomedical scientific literature requires efficient methods for retrieving relevant documents based on semantic technologies and biomedical concepts.
Rohitha Ravinder +5 more
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Discovering action insights from large-scale assessment log data using machine learning [PDF]
Scientific ReportsThis study introduces a novel machine learning algorithm that combines natural language processing techniques, such as Word2Vec and Doc2Vec, with neural networks to identify and validate significant actions within human action sequences.
Minyoung Yun +2 more
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Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study [PDF]
JMIR Human FactorsBackgroundThe rapid growth of web-based medical services has highlighted the significance of smart triage systems in helping patients find the most appropriate physicians.
Yingbin Zheng +4 more
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Compressed Firmware Classification Based on Extra Trees and Doc2Vec [PDF]
Scientific Programming, 2021 Firmware formats vary from vendor to vendor, making it difficult to track which vendor or device the firmware belongs to, or to identify the firmware used in an embedded device. Current firmware analysis tools mainly distinguish firmware by static signatures in the firmware binary code.
Jing Qiu, Xiaoxu Geng, Guanglu Sun
openaire +2 more sources
Patch Validation Approach Combining Doc2Vec and BERT Embedding Technologies [PDF]
Jisuanji kexue, 2022 Automatic program repair is a research hotspot in recent years and has made some progress.Most of the existing automatic program repair methods use the test suite to validate patch correctness.However,using the test suite to validate a large number of ...
HUANG Ying, JIANG Shu-juan, JIANG Ting-ting
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Comparando técnicas de minería de datos en un centro de emergencias
Revista Tecnológica, 2021 El procesamiento del lenguaje natural es un campo dentro de la inteligencia artificial que estudia cómo modelar computacionalmente el lenguaje humano. La representación de palabras a través de vectores, conocida como Word embeddings, se populariza en ...
Paúl Andrés Patiño León +4 more
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Neural Embeddings for the Elicitation of Jurisprudence Principles: The Case of Arabic Legal Texts
Applied Sciences, 2022 In the domain of law and legal systems, jurisprudence principles (JPs) are considered major sources of legislative reasoning by jurisprudence scholars.
Nafla Alrumayyan, Maha Al-Yahya
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Applied Sciences, 2021 To effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such ...
Adam Wawrzyński, Julian Szymański
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