Semantic Service Clustering With Lightweight BERT-Based Service Embedding Using Invocation Sequences
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DOI: 10.1109/access.2021.3069509
Abstract: Service clustering is an efficient method for facilitating service discovery and composition. Traditional approaches based on the self-description documents for services usually utilize service signatures. In Web service composition, service clustering can also be performed… read more here.
Keywords: service clustering; bert based; service embedding; service ... See more keywords
Spectral-Spatial Classification of Hyperspectral Images Using BERT-Based Methods With HyperSLIC Segment Embeddings
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DOI: 10.1109/access.2022.3194650
Abstract: The classification performance is highly affected because hyperspectral images include many bands, have high dimensions, and have few labeled training samples. This challenge is reduced by using rich spatial information and an effective classifier. The… read more here.
Keywords: information; bert based; classification; hyperspectral images ... See more keywords
Automatic Short-Answer Grading via BERT-Based Deep Neural Networks
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DOI: 10.1109/tlt.2022.3175537
Abstract: Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG… read more here.
Keywords: automatic short; short answer; bert based; answer ... See more keywords
CVE2ATT&CK: BERT-Based Mapping of CVEs to MITRE ATT&CK Techniques
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DOI: 10.3390/a15090314
Abstract: Since cyber-attacks are ever-increasing in number, intensity, and variety, a strong need for a global, standardized cyber-security knowledge database has emerged as a means to prevent and fight cybercrime. Attempts already exist in this regard.… read more here.
Keywords: based mapping; bert based; cve2att bert; mitre att ... See more keywords