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Found 7 papers, 2 papers with code
BERT Implementation for Detecting Adverse Drug Effects Mentions in Russian
This paper describes a system developed for the Social Media Mining for Health 2020 shared task.
Using Computer Vision to Analyze Non-manual Marking of Questions in KRSL
This paper presents a study that compares non-manual markers of polar and wh-questions to statements in Kazakh-Russian Sign Language (KRSL) in a dataset collected for NLP tasks.
Functional Data Analysis of Non-manual Marking of Questions in Kazakh-Russian Sign Language
This paper is a continuation of Kuznetsova et al. (2021), which described non-manual markers of polar and wh-questions in comparison with statements in an NLP dataset of Kazakh-Russian Sign Language (KRSL) using Computer Vision.
Testing MediaPipe Holistic for Linguistic Analysis of Nonmanual Markers in Sign Languages
Advances in Deep Learning have made possible reliable landmark tracking of human bodies and faces that can be used for a variety of tasks.
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive clinical applications in ophthalmology.
Relationships between patenting trends and research activity for green energy technologies
Our results show that the advancement of research in all three areas of eco-innovation does not automatically lead to the increase in the number of patents.
A Machine-Synesthetic Approach To DDoS Network Attack Detection
In the authors' opinion, anomaly detection systems, or ADS, seem to be the most perspective direction in the subject of attack detection, because these systems can detect, among others, the unknown (zero-day) attacks.
